3 resultados para Space and time.
em WestminsterResearch - UK
Resumo:
In this paper, we carry out a detailed performance analysis of the blind source separation based I/Q corrector operating at the baseband. Performance of the digital I/Q corrector is evaluated not only under time-varying phase and gain errors but also in the presence of multipath and Rayleigh fading channels. Performance under low-SNR and different modulation formats and constellation sizes is also evaluated. What is more, BER improvement after correction is illustrated. The results indicate that the adaptive algorithm offers adequate performance for most communication applications hence, reducing the matching requirements of the analog front-end enabling higher levels of integration.
Resumo:
This timely text explores the lives, histories and identities of white British-born immigrants in South Africa, twenty years after the post-apartheid Government took office. Drawing on over sixty in depth biographical interviews and ethnographic work in Johannesburg, Pietermaritzburg and Cape Town, Daniel Conway and Pauline Leonard analyse how British immigrants' relate to, participate in and embody South Africa's complex racial and political history. Through their everyday lives, political and social attitudes, relationships with the places and spaces of South Africa, as well as their expectations of the future, the complexities of their transnational, raced and classed identities and senses of belonging are revealed. Migration, Space and Transnational Identities makes an important contribution to sociological, geographical, political and anthropological debates on transnational migration, whiteness, Britishness and lifestyle, tourism and labour migration.
Resumo:
SELECTOR is a software package for studying the evolution of multiallelic genes under balancing or positive selection while simulating complex evolutionary scenarios that integrate demographic growth and migration in a spatially explicit population framework. Parameters can be varied both in space and time to account for geographical, environmental, and cultural heterogeneity. SELECTOR can be used within an approximate Bayesian computation estimation framework. We first describe the principles of SELECTOR and validate the algorithms by comparing its outputs for simple models with theoretical expectations. Then, we show how it can be used to investigate genetic differentiation of loci under balancing selection in interconnected demes with spatially heterogeneous gene flow. We identify situations in which balancing selection reduces genetic differentiation between population groups compared with neutrality and explain conflicting outcomes observed for human leukocyte antigen loci. These results and three previously published applications demonstrate that SELECTOR is efficient and robust for building insight into human settlement history and evolution.