Time-Frequency Analysis of Nonlinear Systems: The Skeleton Linear Model and the Skeleton Curves

The joint time-frequency analysis method is adopted to study the nonlinear behavior varying with the instantaneous response for a class of S.D.O.F nonlinear system. A time-frequency masking operator, together with the conception of effective time-frequency region of the asymptotic signal are defined here. Based on these mathematical foundations, a so-called skeleton linear model (SLM) is constructed which has similar nonlinear characteristics with the nonlinear system. Two skeleton curves are deduced which can indicate the stiffness and damping in the nonlinear system. The relationship between the SLM and the nonlinear system, both parameters and solutions, is clarified. Based on this work a new identification technique of nonlinear systems using the nonstationary vibration data will be proposed through time-frequency filtering technique and wavelet transform in the following paper.

Epidemiología de la roya del café (Hemileia vastatrix B. y Br.) en las zonas norte y pacífico de Nicaragua

Este trabajo tuvo como objetivo estudiar el desarrollo de la roya del café bajo condiciones de campo a diferentes altitudes, determinar el efecto de los factores climáticos sobre su desarrollo y determinar los periodos criticas de sus epidemias. Para ello se eligieron 4 fincas de las zonas cafetaleras de Nicaragua: tres fincas en la VI regj_ón.y una en la IV reg.ton. Se realizaron lecturas semanales de incidencia y severidad de roya¡ se realizaron lecturas diarias de temperatura, humedad relativa y precipitación. Se elaboraron para la incidencia y severidad curvas acumulativas las cuales fueron transformadas a lógitos para construir las curvas linearizadas y de esta manera calcular las tasas de incremento de la enfermedad. Las epidemias se comenzaron a desarrollar a partir de los meses de agosto, septiembre y octubre alcanzando sus valores máximos en los meses de diciembre, enero y febrero respectivamente. La variable ambiental de mayor influencia sobre el desarrollo de la enfermedad fue la temperatura. La precipitación influyó aportando el agua liquida favorable para la germinación de las esporas. Las aplicaciones de fungicidas cdpricos aminoraron el desarrollo de la enfermedad, pero no lograron detener la epidemia principalmente cuando los valores de incidencia alcanzaron el 10%.

Aplicación de parámetros matemáticos en un trabajo multidisciplinario de composición musical asistida por computadora sobre una temática folklórica

Resumen: En el marco de un proyecto de la Vicerrectoría de Investigaciones de la Universidad de Caldas denominado “Resignificación músico-pictórica del mito de la Salamanca” surgió la conveniencia de aplicar y diseñar programas de fundamentación matemática que permitieran definir la estructura y el tratamiento acústico de la obra especialmente escrita para este proyecto. Principalmente nos basamos en la implementación de la Transformada Rápida de Fourier (Fast Fourier Transform) para el análisis de espectros armónicos y su modificación en vivo y en la utilización de un entorno de programación para procesamiento de sonido en tiempo real. El marco general de la investigación parte del enfoque de Regionalismo Crítico procedente de las propuestas de Kenneth Frampton referentes originalmente a la crítica de la arquitectura. El planteamiento como investigación mutidisciplinaria implica (1) una visión crítica de la substancia mítica y social subyacente, (2) una resignificación pictórica por medio de fotografía, animación y pintura, basada en la sustancia visual que contiene el mito, (3) un enfoque musical electroacústico, a partir del material que surge del folklor local, utilizando la intervención de instrumentos en vivo y procesamiento en tiempo real.

Projeto DW Dileg

Notícia sobre o projeto da Diretoria legislativa que pretende divulgar diversas informações estatísticas sobre proposições, tais como séries históricas de proposições apresentadas, transformadas em norma jurídica ou vetadas.

基于MATLAB小波分析的软地基加固探地雷达检测处理方法

从小波分解出发，利用多尺度分解对控地雷达波进行分析，并基于MATLAB的小波分析对深圳市公安局某工地强夯土石墩地基的检测结果进行处理，提出了具体的处理方法。

小波变换方法评价曲线的分形特征

应用小波变换对Kiesswetter工线和3种方法生成的分数维布朗运动（FBm）进行了分析，验证了该方法计算分形维数具有较高的精度。在宽广的分形维数范围内，与其他7种计算方法比较表明，小波变换方法的精确性和一致性都最好。小波变换为进一步分辨确定性信号、分形特征的信号或完全随机性的信号提供了一种有效工具，为评价精糙表面形貌的分形特征提供了前提条件。

Aplicación de técnicas estadísticas en el estudio de fenómenos ambientales y ecosistémicos

208 p.

Biologically-inspired data decorrelation for hyper-spectral imaging

Hyper-spectral data allows the construction of more robust statistical models to sample the material properties than the standard tri-chromatic color representation. However, because of the large dimensionality and complexity of the hyper-spectral data, the extraction of robust features (image descriptors) is not a trivial issue. Thus, to facilitate efficient feature extraction, decorrelation techniques are commonly applied to reduce the dimensionality of the hyper-spectral data with the aim of generating compact and highly discriminative image descriptors. Current methodologies for data decorrelation such as principal component analysis (PCA), linear discriminant analysis (LDA), wavelet decomposition (WD), or band selection methods require complex and subjective training procedures and in addition the compressed spectral information is not directly related to the physical (spectral) characteristics associated with the analyzed materials. The major objective of this article is to introduce and evaluate a new data decorrelation methodology using an approach that closely emulates the human vision. The proposed data decorrelation scheme has been employed to optimally minimize the amount of redundant information contained in the highly correlated hyper-spectral bands and has been comprehensively evaluated in the context of non-ferrous material classification

Global Self-Organization of the Cellular Metabolic Structure

Background: Over many years, it has been assumed that enzymes work either in an isolated way, or organized in small catalytic groups. Several studies performed using "metabolic networks models'' are helping to understand the degree of functional complexity that characterizes enzymatic dynamic systems. In a previous work, we used "dissipative metabolic networks'' (DMNs) to show that enzymes can present a self-organized global functional structure, in which several sets of enzymes are always in an active state, whereas the rest of molecular catalytic sets exhibit dynamics of on-off changing states. We suggested that this kind of global metabolic dynamics might be a genuine and universal functional configuration of the cellular metabolic structure, common to all living cells. Later, a different group has shown experimentally that this kind of functional structure does, indeed, exist in several microorganisms. Methodology/Principal Findings: Here we have analyzed around 2.500.000 different DMNs in order to investigate the underlying mechanism of this dynamic global configuration. The numerical analyses that we have performed show that this global configuration is an emergent property inherent to the cellular metabolic dynamics. Concretely, we have found that the existence of a high number of enzymatic subsystems belonging to the DMNs is the fundamental element for the spontaneous emergence of a functional reactive structure characterized by a metabolic core formed by several sets of enzymes always in an active state. Conclusions/Significance: This self-organized dynamic structure seems to be an intrinsic characteristic of metabolism, common to all living cellular organisms. To better understand cellular functionality, it will be crucial to structurally characterize these enzymatic self-organized global structures.

A combined statistical model for multiple motifs search

Transcription factor binding sites (TFBS) play key roles in genebior 6.8 wavelet expression and regulation. They are short sequence segments with de¯nite structure and can be recognized by the corresponding transcription factors correctly. From the viewpoint of statistics, the candidates of TFBS should be quite di®erent from the segments that are randomly combined together by nucleotide. This paper proposes a combined statistical model for ¯nding over- represented short sequence segments in di®erent kinds of data set. While the over-represented short sequence segment is described by position weight matrix, the nucleotide distribution at most sites of the segment should be far from the background nucleotide distribution. The central idea of this approach is to search for such kind of signals. This algorithm is tested on 3 data sets, including binding sites data set of cyclic AMP receptor protein in E.coli, PlantProm DB which is a non-redundant collection of proximal promoter sequences from di®erent species, collection of the intergenic sequences of the whole genome of E.Coli. Even though the complexity of these three data sets is quite di®erent, the results show that this model is rather general and sensible.

双色激光场中激光强度和脉宽对线性多原子分子离子电离的影响

利用强激光场电离和离解分子来研究分子激发态的波包结构是强场物理的重要研究方向。利用短时指数传播子对称分割法和快速傅里叶变换技术。数值求解了一维含时Schr（oe）dinger方程，探讨了双色激光场中激光的基波和谐波强度之间的不同配比以及脉宽对线性多原子分子离子电离的影响。理论计算结果表明：基波和谐波的相对相位为π时，尽管随着激光的基波和谐波强度之间配比的变化，电离几率随原子间距变化的趋势基本保持不变，但在一定的激光基波强度下(1．2×10^13～1．2×10^15W／cm^2)，激光基波强度的变化可以明显

Hunting spectro-temporal information in unevenly spaced paleoclimate time series

18 p.

Ecuaciones diferenciales ordinarias para estudiantes de Física

Conceptos fundamentales. - Ecuaciones de primer orden. - Ecuaciones de orden superior. - Sistemas de ecuaciones. - Transformación de Laplace. - Solución para series de ecuaciones lineales. - Métodos aproximados. - Teoría de la estabilidad. - Problemas de contorno de Sturm-Liouville. - Apéndice: Teoremas fundamentales. Métodos simbólicos. Resumen de métodos analíticos exactos. Definición y propiedades de algunas funciones. Tablas de transformadas de Laplace. Tablas de transformadas de Fourier. Soluciones y sugerencias para algunos ejercicios.