Energy-efficient diversity combining for different access schemes in a multi-path dispersive channel

Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e Computadores

Barreiras e facilitadores à implementação de um modelo de gestão de cuidados em Saúde Mental

RESUMO: Enquadramento teórico - Os estudos epidemiológicos demonstram que apesar de todo o progresso científico, muitas pessoas continuam sem acesso aos Serviços de Saúde Mental (SSM) e que, em muitos casos, os cuidados não têm a qualidade suficiente. A experiência de vários países mostra que os processos de implementação de modelos de intervenção terapêutica, como é o da Gestão de Cuidados, são lentos e complexos, não dependendo somente do grau de efectividade ou da complexidade das práticas a implementar. O Modelo de Gestão de Cuidados (MGC), é definido como uma prática baseada na evidência, utilizada para ajudar os doentes nos seus processos de recuperação. As estratégias para implementar práticas baseadas na evidência são críticas para a melhoria dos serviços. Existem, apesar de toda a evidência, muitas barreiras à implementação. Ao constatarmos que as práticas validadas pela ciência estão longe de estar claramente disseminadas nos serviços de saúde mental, fundamentamos a necessidade de utilizar metodologia de implementação que, além da efectividade das práticas, permita uma efectividade da implementação. Para responder às necessidades de formação e no âmbito da implementação do Plano Nacional de Saúde Mental, foram formados, em Portugal, 170 profissionais de saúde mental provenientes de serviços públicos e do sector social, de todas as regiões de Portugal Continental. Considerando que estes profissionais adquiriram competências específicas no MGC, através de um programa de formação nacional idêntico para todos os serviços de saúde mental, investigámos o grau de implementação deste modelo, bem como os facilitadores e as barreiras à sua correcta implementação. Existem vários estudos internacionais sobre as barreiras e os facilitadores à implementação de práticas baseadas na evidência, embora a maior parte desses estudos seja baseado em entrevistas semi-estruturadas a profissionais. Por outro lado, não existem, em Portugal, estudos sobre as barreiras e os facilitadores à implementação de práticas de saúde mental. Objectivos 1. Estimar o grau da implementação do MGC nos serviços de saúde mental portugueses 2. Caracterizar as regiões onde a implementação do MGC tenha ocorrido em maior grau. 3. Identificar os factores facilitadores e as barreiras à implementação do MGC, entre as regiõesde saúde do país. 4. Explorar as relações entre a fidelidade da implementação, as barreiras e os facilitadores da implementação, a cultura organizacional e as características dos serviços de saúde mental. Metodologia Estudo observacional, transversal e descritivo, com características exploratórias. População: profissionais dos serviços de saúde mental públicos e do sector social que frequentaram o Programa Nacional de Formação em Saúde Mental Comunitária no curso “Cuidados Integrados e Recuperação”, da Coordenação Nacional para a Saúde Mental / Ministério da Saúde, entre Outubro de 2008 e Dezembro de 2009, (n=71). Avaliação Fidelidade de implementação do Modelo de Gestão de Cuidados - IMR-S (Illness Management and Recovery Scale); Qualidade das guidelines utilizadas na implementação do Modelo de Gestão de Cuidados - AGREE II-PT (Appraisal of Guidelines, for Research and Evaluation); Avaliação das Barreiras e Facilitadores à implementação do MGC - BaFAI (Barriers and Facilitators Assessment Instrument); Avaliação da Cultura Organizacional dos serviços de saúde mental - CVF-I (Competing Values Framework Instrument). Análise Estatística Para a descrição dos dados foram aplicados métodos de estatística descritiva. Para a comparação de subgrupos foram utilizados os testes de Mann Whitney e Kruskall-Wallis. Para a investigação de associações foram utilizados os métodos de correlação de Spearman e a Regressão Múltipla. O tratamento e análise dos dados foram realizados utilizando o programa estatístico IBM SPSS Statistics® para Mac/Apple® nas versões 19 e 20. Resultados Serviços: A articulação com os cuidados de saúde primários existe na maioria dos serviços (56.34%) e 77.46% dos serviços têm autonomia para definir os cuidados a prestar. A maioria dos serviços (63.38%) realiza duas ou mais reuniões clínicas por mês e a quase totalidade (95.77%) recebe estagiários e/ou internos. A área da investigação tem níveis considerados baixos, quando comparados com outros países da Europa, tanto para a globalidade das áreas de investigação (25.35%), como para as áreas psicossociais (22.54%). Considerando componentes fundamentais para a implementação de modelos de gestão de cuidados, os resultados nacionais indicam que 66.20% dos serviços fazem registos em processo clínico único. As percentagens de utilização de planos individuais de cuidados são globalmente baixas (46.48%). Por seu turno, a utilização de guidelines, nos serviços do país, tem uma percentagem média nacional de 57.75%. Profissionais: São, na sua maioria, do sexo feminino (69.01%), com idades entre os 25 e os 56 anos (média 38.9, ± 7.41). Pertencem, maioritariamente, aos grupos profissionais da enfermagem (23.94%) e da psicologia (49.30%). A formação dos profissionais é de nível superior em todos os grupos, com uma percentagem total de licenciados de 80.3%, tendo os restantes uma formação ao nível do mestrado. Apesar dos valores baixos (17%) de formação prévia em modelos de gestão de cuidados, 39% dos profissionais indicou utilizar algumas vertentes destes modelos na sua prática. Apesar de 97,18% dos profissionais ter participado em dois ou mais encontros científicos, num período de dois anos, apenas 38.03% apresentou alguma comunicação científica no mesmo intervalo. Guideline: Os resultados da avaliação da guideline do MGC indicaram percentagens mais altas, quanto à qualidade do seu desenvolvimento, nos Domínios 1 (Objectivo e finalidade, com 72.2%) e 4 (Clareza de Apresentação, 77.7%). O Domínio 5 (Aplicabilidade) foi pontuado no limite inferior do desenvolvimento com qualidade suficiente (54.1%), ao passo que a guideline obteve uma pontuação negativa nos Domínios 2 (Envolvimento das partes interessadas, com 41.6%) e 3 (Rigor do Desenvolvimento, com 28.1%). Adicionalmente não foi possível às avaliadoras cotar o Domínio 6 (Independência editorial), por ausência de referências neste contexto. A guideline teve uma avaliação global positiva (66%), com recomendação de aceitação com modificações. Cultura Organizacional: O perfil de liderança com maior frequência nos serviços de saúde mental portugueses foi o de Mentor (45.61%). As percentagens mais baixas pertenceram aos perfis Monitor e Inovador (3.51%). Na perspectiva da cultura organizacional dos serviços, apontuação mais alta foi a da Cultura das Relações Humanas (74.07%). A estratégia de liderança, com predomínio em todas as regiões, foi a estratégia de Flexibilidade (66.10%). Os resultados mostram que a única associação positivamente significativa com o grau da implementação do MGC é a do perfil Produtor, com um peso específico de 14.55% na prevalência dos perfis de liderança nos serviços de saúde mental portugueses. Barreiras: As barreiras à implementação da prática do MGC, identificadas pelos profissionais dos serviços de saúde mental, com percentagens mais altas nos totais do país, foram: o tempo (57.7%), o conhecimento sobre o modelo e a motivação (40.8%), a colaboração dos outros profissionais (33.7%), o número de contactos reduzidos com os doentes (35.2%), as insuficiências do ponto de vista dos espaços (70.4%) e dos instrumentos disponíveis (69%) para implementar o MGC. Existiu uma variação entre as regiões de saúde do país. Os resultados mostram que houve uma correlação negativa, de forma significativa, entre a implementação do MGC e as barreiras: da resistência à utilização de protocolos, do formato da prática, da necessidade de mais treino e da não cooperação dos profissionais. Foram encontradas diferenças estatisticamente significativas entre as barreiras à implementação e as características dos serviços, dos profissionais e da cultura organizacional. Implementação: A média nacional da fidelidade de implementação do MGC (41.48) teve valores aproximados aos de estudos similares. Na pontuação por regiões, a implementação com maior fidelidade ocorreu no Alentejo. Se considerarmos a implementação com fidelidade esta ocorreu em 57.75% dos serviços e uma boa implementação em 15.49%. Os métodos de regressão permitiram confirmar a capacidade preditiva das barreiras e da cultura organizacional quanto à fidelidade da implementação do MGC. Discussão: No universo das hipóteses inicialmente colocadas foi possível verificar a variação da implementação do MGC entre as regiões do país. O estudo permitiu, adicionalmente, concluir pela existência de denominadores comuns de maior sucesso da implementação do MGC. Foi ainda possível verificar uma relação significativa, existente entre o grau de implementação e as dimensões das barreiras, a cultura organizacional e os recursos dos SSM (aqui definidos pelas características dos serviços e dos profissionais). De uma forma mais conclusiva podemos afirmar que existem outros factores, que não estão relacionados com a avaliação restrita dos recursos financeiros ou humanos, associados à qualidade da implementação de práticas baseadas na evidência, como o MGC. Exemplo disso são os achados referentes à região de saúde do Alentejo, onde a distância dos grandes centros urbanos e as conhecidas dificuldades de acessibilidade, combinadas com os problemas conhecidos da falta de recursos, não impediram que fosse a região com os valores mais altos da fidelidade de implementação. Conclusões: Foram encontradas inúmeras barreiras à implementação do MGC. Existem barreiras diferentes entre regiões, que resultam das características dos serviços, dos profissionais e da cultura organizacional. Para existir implementação é necessária a consideração de metodologias próprias que vão para além dos tradicionais programas de formação. As práticas baseadas na evidência, amplamente defendidas, exigem implementações baseadas na evidência.-------------ABSTRACT: Introduction - Several epidemiological studies show that, despite all scientific progress, many people still continue to have no access to mental health services and in many situations the quality of care is poor. The experiences of several countries show that progress towards case management implementation is slow and complex, depending not only from the degree of effectiveness or the complexity of the practice. Case management is defined as an evidence-based practice used to help patients in the recovery process. Strategies to implement evidence-based practices are critical to services improvement. There are many barriers to their implementation, despite all available evidence. Realising that practices of proved scientific value are far from being clearly implemented, justifies the need to use implementation methodologies that, beyond practice effectiveness, allow implementation effectiveness. To answer training needs and in the framework of the National Mental Health Plan implementation, 170 mental health (MH) professionals from portuguese public and private sectors were trained. Considering that case management skills were acquired, as a result of this training programme, we decided to study the degree of implementation in the services.Barriers and facilitators to the implementation were studied as well. There are several studies related with barriers and facilitators to the implementation of evidence-based practices, but most of them use semi-structured interviews with professionals. Additionally, there are no studies in Portugal related with barriers and facilitators to the implementation of mental health practices. Objectives1. Estimate the degree of case management implementation in Portuguese MH Services. 2.Describe regions where implementation occurred with higher fidelity degree. 3. Identify barriers and facilitators to case management implementation across country regions. 4. Explore the relationships between implementation, barriers and facilitators, organisational culture and services characteristics. Methodology - Cross sectional, descriptive study. Assessments - Implementation fidelity - IMR-S (Illness Management and Recovery Scale); Guideline quality - AGREE II-PT (Appraisal of Guidelines, for Research and Evaluation); Barriers and facilitators assessment - BaFAI (Barriers and Facilitators Assessment Instrument); Organisational culture assessment - CVF-I (Competing Values Framework Instrument). Statistical analysis - Descriptives and cross-tabs. Subgroups comparison: Mann-Witney and Kruskall-Wallis. Associations between variables were calculated using Spearman correlation's and Multiple Regression. Results - Services: Liaison with primary care is done in most services (56.34%) and 77.46% have autonomy to determine care. Most services have regular clinical meetings and almost all give internship training (95.77%). Research activity is low compared with other European countries, for both general and psychosocial research. Considering key components for the case management implementation, 66.20% of all services use single clinical records. The use of individual care plans is globally low (46.48%) and there is a use of guidelines in 57.75% of services. Human Resources: most are women (69.01%), with age ranging from 25-56 (average 39.9, SD 7.41). The majority are psychologists (49.30%) and nurses (23.94%). All have a university degree, 19.7% have a masters degree and 83% didn’t have any case management training before the above mentioned national training. Despite the low levels of preceding case management training, 39% have used model components in day-to-day practice and although 97.18% of the workforce have attended scientific meetings in the last 2 years, only 38.03% presented communications in the same period. Guideline: Results show that higher scores were obtained in Domain 1. Scope and Purpose (72.2.%),and Domain 4. Clarity of presentation (77.7%). Domain 5. pplicability scored near low boundary (54.1%) and negative scores were found in Domain 2. Stakeholder Involvement (41.6%) and Domain 3. Rigour of Development (28.1%). Global score was 66% and the guideline was recommended with modifications. Organisational Culture: The most frequent leadership profile was the Mentor profile (45.61%). Lower scores belonged to Innovator and Monitor profiles (3.51%). On the organisational culture overall, higher scores were found in the Human Relations culture (74.07%). The higher leadership strategy was the strategy of flexibility (66.10%). The results additionally showed that the only leadership profile associated with case management implementation was the Producer profile, representing 14.55% of all leadership profiles in the country.Barriers: The barriers identified by MH professionals, with high percentages, were: lack of time (57.7%), knowledge and motivation (40.8%), other colleagues cooperation (33.7%), low number of contacts with patients (35.2%), lack of facilities (70.4%) and lack of instruments (69%) to implement case management, varying across regions. Results show that there was a negative correlation between implementation and the following barriers: using protocols, practice format, need for more training and lack of cooperation from colleagues. Additionally, statistical differences were found between barriers to implementation and: services characteristics, workforce characteristics, organisational culture. Implementation: The national average results of case management implementation fidelity was (41.48), close to values found in similar studies. In the regional scores South Region Alentejo had the highest implementation score. If we look at minimum scores to assume implementation fidelity, these occurred in 57.75% of services and a good implementation occurred in 15.49% of these. Regression methods allowed to confirm that implementation score prediction was possible using the combination of barriers and organisational culture scores. Discussion - Considering the initial study hypotheses, it was possible to confirm the variation of case management implementation across country regions. Additionally, we could conclude that common denominators exist when successful implementation occurred. It was possible to observe a significant relationship between implementation degree and the dimensions of barriers, organisational culture and services resources (defined as professionals and services characteristics). In a more conclusive way, we can say that there are factors, other than financial and human resources, that are associated with evidence based practices implementation like case management. An example is the Alentejo region, were the distance from urban centres, and the known difficulties associated with accessibility, plus the lack of financial and human resources, have not impeded the regional higher score on implementation. Conclusions: Case management implementation had several barriers to implementation. There are different barriers across country regions, resulting from organisational culture, services and professionals characteristics. To reach implementation it is necessary to consider specific methodologies that go beyond traditional training programs and evident practices, widely promoted. Evidence-based practices require evidence-based implementations.

New visualization model for large scale biosignals analysis

Benefits of long-term monitoring have drawn considerable attention in healthcare. Since the acquired data provides an important source of information to clinicians and researchers, the choice for long-term monitoring studies has become frequent. However, long-term monitoring can result in massive datasets, which makes the analysis of the acquired biosignals a challenge. In this case, visualization, which is a key point in signal analysis, presents several limitations and the annotations handling in which some machine learning algorithms depend on, turn out to be a complex task. In order to overcome these problems a novel web-based application for biosignals visualization and annotation in a fast and user friendly way was developed. This was possible through the study and implementation of a visualization model. The main process of this model, the visualization process, comprised the constitution of the domain problem, the abstraction design, the development of a multilevel visualization and the study and choice of the visualization techniques that better communicate the information carried by the data. In a second process, the visual encoding variables were the study target. Finally, the improved interaction exploration techniques were implemented where the annotation handling stands out. Three case studies are presented and discussed and a usability study supports the reliability of the implemented work.

Semantic enrichment of knowledge sources supported by domain ontologies

This thesis introduces a novel conceptual framework to support the creation of knowledge representations based on enriched Semantic Vectors, using the classical vector space model approach extended with ontological support. One of the primary research challenges addressed here relates to the process of formalization and representation of document contents, where most existing approaches are limited and only take into account the explicit, word-based information in the document. This research explores how traditional knowledge representations can be enriched through incorporation of implicit information derived from the complex relationships (semantic associations) modelled by domain ontologies with the addition of information presented in documents. The relevant achievements pursued by this thesis are the following: (i) conceptualization of a model that enables the semantic enrichment of knowledge sources supported by domain experts; (ii) development of a method for extending the traditional vector space, using domain ontologies; (iii) development of a method to support ontology learning, based on the discovery of new ontological relations expressed in non-structured information sources; (iv) development of a process to evaluate the semantic enrichment; (v) implementation of a proof-of-concept, named SENSE (Semantic Enrichment kNowledge SourcEs), which enables to validate the ideas established under the scope of this thesis; (vi) publication of several scientific articles and the support to 4 master dissertations carried out by the department of Electrical and Computer Engineering from FCT/UNL. It is worth mentioning that the work developed under the semantic referential covered by this thesis has reused relevant achievements within the scope of research European projects, in order to address approaches which are considered scientifically sound and coherent and avoid “reinventing the wheel”.

Mechanical characterization of aortas using 2D ultrasound elastography

Rupture of aortic aneurysms (AA) is a major cause of death in the Western world. Currently, clinical decision upon surgical intervention is based on the diameter of the aneurysm. However, this method is not fully adequate. Noninvasive assessment of the elastic properties of the arterial wall can be a better predictor for AA growth and rupture risk. The purpose of this study is to estimate mechanical properties of the aortic wall using in vitro inflation testing and 2D ultrasound (US) elastography, and investigate the performance of the proposed methodology for physiological conditions. Two different inflation experiments were performed on twelve porcine aortas: 1) a static experiment for a large pressure range (0 – 140 mmHg); 2) a dynamic experiment closely mimicking the in vivo hemodynamics at physiological pressures (70 – 130 mmHg). 2D raw radiofrequency (RF) US datasets were acquired for one longitudinal and two cross-sectional imaging planes, for both experiments. The RF-data were manually segmented and a 2D vessel wall displacement tracking algorithm was applied to obtain the aortic diameter–time behavior. The shear modulus G was estimated assuming a Neo-Hookean material model. In addition, an incremental study based on the static data was performed to: 1) investigate the changes in G for increasing mean arterial pressure (MAP), for a certain pressure difference (30, 40, 50 and 60 mmHg); 2) compare the results with those from the dynamic experiment, for the same pressure range. The resulting shear modulus G was 94 ± 16 kPa for the static experiment, which is in agreement with literature. A linear dependency on MAP was found for G, yet the effect of the pressure difference was negligible. The dynamic data revealed a G of 250 ± 20 kPa. For the same pressure range, the incremental shear modulus (Ginc) was 240 ± 39 kPa, which is in agreement with the former. In general, for all experiments, no significant differences in the values of G were found between different image planes. This study shows that 2D US elastography of aortas during inflation testing is feasible under controlled and physiological circumstances. In future studies, the in vivo, dynamic experiment should be repeated for a range of MAPs and pathological vessels should be examined. Furthermore, the use of more complex material models needs to be considered to describe the non-linear behavior of the vascular tissue.

A domain specific language for domotic systems

To cope with modernity, the interesting of having a fully automated house has been increasing over the years, as technology evolves and as our lives become more stressful and overloaded. An automation system provides a way to simplify some daily tasks, allowing us to have more spare time to perform activities where we are really needed. There are some systems in this domain that try to implement these characteristics, but this kind of technology is at its early stages of evolution being that it is still far away of empowering the user with the desired control over a habitation. The reason is that the mentioned systems miss some important features such as adaptability, extension and evolution. These systems, developed from a bottom-up approach, are often tailored for programmers and domain experts, discarding most of the times the end users that remain with unfinished interfaces or products that they have difficulty to control. Moreover, complex behaviors are avoided, since they are extremely difficult to implement mostly due to the necessity of handling priorities, conflicts and device calibration. Besides, these solutions are only reachable at very high costs, yet they still have the limitation of being difficult to configure by non-technical people once in runtime operation. As a result, it is necessary to create a tool that allows the execution of several automated actions, with an interface that is easy to use but at the same time supports all the main features of this domain. It is also desirable that this tool is independent of the hardware so it can be reused, thus a Model Driven Development approach (MDD) is the ideal option, as it is a method that follows those principles. Since the automation domain has some very specific concepts, the use of models should be combined with a Domain Specific Language (DSL). With these two methods, it is possible to create a solution that is adapted to the end users, but also to domain experts and programmers due to the several levels of abstraction that can be added to diminish the complexity of use. The aim of this thesis is to design a Domain Specific Language (DSL) that uses the Model Driven Development approach (MDD), with the purpose of supporting Home Automation (HA) concepts. In this implementation, the development of simple and complex scenarios should be supported and will be one of the most important concerns. This DSL should also support other significant features in this domain, such as the ability to schedule tasks, which is something that is limited in the current existing solutions.

User-centric product derivation in software product lines

Software Product Line (SPL) engineering aims at achieving efficient development of software products in a specific domain. New products are obtained via a process which entails creating a new configuration specifying the desired product’s features. This configuration must necessarily conform to a variability model, that describes the scope of the SPL, or else it is not viable. To ensure this, configuration tools are used that do not allow invalid configurations to be expressed. A different concern, however, is making sure that a product addresses the stakeholders’ needs as best as possible. The stakeholders may not be experts on the domain, so they may have unrealistic expectations. Also, the scope of the SPL is determined not only by the domain but also by limitations of the development platforms. It is therefore possible that the desired set of features goes beyond what is possible to currently create with the SPL. This means that configuration tools should provide support not only for creating valid products, but also for improving satisfaction of user concerns. We address this goal by providing a user-centric configuration process that offers suggestions during the configuration process, based on the use of soft constraints, and identifying and explaining potential conflicts that may arise. Suggestions help mitigating stakeholder uncertainty and poor domain knowledge, by helping them address well known and desirable domain-related concerns. On the other hand, automated conflict identification and explanation helps the stakeholders to understand the trade-offs required for realizing their vision, allowing informed resolution of conflicts. Additionally, we propose a prototype-based approach to configuration, that addresses the order-dependency issues by allowing the complete (or partial) specification of the features in a single step. A subsequent resolution process will then identify possible repairs, or trade-offs, that may be required for viabilization.

Damage propagation in composite Materials meso-mechanical models

Composite materials have a complex behavior, which is difficult to predict under different types of loads. In the course of this dissertation a methodology was developed to predict failure and damage propagation of composite material specimens. This methodology uses finite element numerical models created with Ansys and Matlab softwares. The methodology is able to perform an incremental-iterative analysis, which increases, gradually, the load applied to the specimen. Several structural failure phenomena are considered, such as fiber and/or matrix failure, delamination or shear plasticity. Failure criteria based on element stresses were implemented and a procedure to reduce the stiffness of the failed elements was prepared. The material used in this dissertation consist of a spread tow carbon fabric with a 0°/90° arrangement and the main numerical model analyzed is a 26-plies specimen under compression loads. Numerical results were compared with the results of specimens tested experimentally, whose mechanical properties are unknown, knowing only the geometry of the specimen. The material properties of the numerical model were adjusted in the course of this dissertation, in order to find the lowest difference between the numerical and experimental results with an error lower than 5% (it was performed the numerical model identification based on the experimental results).

Learning domain-specific sentiment lexicons with applications to recommender systems

Search is now going beyond looking for factual information, and people wish to search for the opinions of others to help them in their own decision-making. Sentiment expressions or opinion expressions are used by users to express their opinion and embody important pieces of information, particularly in online commerce. The main problem that the present dissertation addresses is how to model text to find meaningful words that express a sentiment. In this context, I investigate the viability of automatically generating a sentiment lexicon for opinion retrieval and sentiment classification applications. For this research objective we propose to capture sentiment words that are derived from online users’ reviews. In this approach, we tackle a major challenge in sentiment analysis which is the detection of words that express subjective preference and domain-specific sentiment words such as jargon. To this aim we present a fully generative method that automatically learns a domain-specific lexicon and is fully independent of external sources. Sentiment lexicons can be applied in a broad set of applications, however popular recommendation algorithms have somehow been disconnected from sentiment analysis. Therefore, we present a study that explores the viability of applying sentiment analysis techniques to infer ratings in a recommendation algorithm. Furthermore, entities’ reputation is intrinsically associated with sentiment words that have a positive or negative relation with those entities. Hence, is provided a study that observes the viability of using a domain-specific lexicon to compute entities reputation. Finally, a recommendation system algorithm is improved with the use of sentiment-based ratings and entities reputation.

Frequency-domain receiver design for doubly-selective channels

This work is devoted to the broadband wireless transmission techniques, which are serious candidates to be implemented in future broadband wireless and cellular systems, aiming at providing high and reliable data transmission and concomitantly high mobility. In order to cope with doubly-selective channels, receiver structures based on OFDM and SC-FDE block transmission techniques, are proposed, which allow cost-effective implementations, using FFT-based signal processing. The first subject to be addressed is the impact of the number of multipath components, and the diversity order, on the asymptotic performance of OFDM and SC-FDE, in uncoded and for different channel coding schemes. The obtained results show that the number of relevant separable multipath components is a key element that influences the performance of OFDM and SC-FDE schemes. Then, the improved estimation and detection performance of OFDM-based broadcasting systems, is introduced employing SFN (Single Frequency Network) operation. An initial coarse channel is obtained with resort to low-power training sequences estimation, and an iterative receiver with joint detection and channel estimation is presented. The achieved results have shown very good performance, close to that with perfect channel estimation. The next topic is related to SFN systems, devoting special attention to time-distortion effects inherent to these networks. Typically, the SFN broadcast wireless systems employ OFDM schemes to cope with severely time-dispersive channels. However, frequency errors, due to CFO, compromises the orthogonality between subcarriers. As an alternative approach, the possibility of using SC-FDE schemes (characterized by reduced envelope fluctuations and higher robustness to carrier frequency errors) is evaluated, and a technique, employing joint CFO estimation and compensation over the severe time-distortion effects, is proposed. Finally, broadband mobile wireless systems, in which the relative motion between the transmitter and receiver induces Doppler shift which is different or each propagation path, is considered, depending on the angle of incidence of that path in relation to the direction of travel. This represents a severe impairment in wireless digital communications systems, since that multipath propagation combined with the Doppler effects, lead to drastic and unpredictable fluctuations of the envelope of the received signal, severely affecting the detection performance. The channel variations due this effect are very difficult to estimate and compensate. In this work we propose a set of SC-FDE iterative receivers implementing efficient estimation and tracking techniques. The performance results show that the proposed receivers have very good performance, even in the presence of significant Doppler spread between the different groups of multipath components.