By Jie Chen
Книга layout of electronic Video Coding structures layout of electronic Video Coding SystemsКниги Электротехника и связь Автор: Ut-Va Koc, KJ Ray Liu Год издания: 2001 Формат: pdf Издат.:CRC Страниц: 488 Размер: 12,4 ISBN: 0824706560 Язык: Английский0 (голосов: zero) Оценка:A dialogue of a compressed-domain technique for designing and enforcing electronic video coding platforms, that's tremendously varied from the normal hybrid method. It demonstrates how the combo of discrete cosine remodel (DCT) coders and movement compensated (MC) devices reduces energy intake and complexity.
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Additional resources for Design of digital video coding systems: a complete compressed domain approach
D. Briles of Los Alamos National Laboratory analysed Bayesian target classification performance in radar using a radar measurement channel model and rate-distortion theory [9,10]. The goal of this work was to relate Bayesian classification performance to the mutual information between a target and observation through use of a rate-distortion function in which the average distortion was defined as the average Bayes risk, which was taken to be the probability of error in the Bayes classifier. tex April 17, 2012 16: 27 Page 39 Information theory and radar waveform design 39 of error as a function of the mutual information, the bounds are not tight.
24) explains the high interest in Costas arrays by number theorists and the lesser interest by the radar community. It should be pointed out that John P. Costas originally developed the signal for sonar applications, where coherency is not well preserved. Indeed, Costas signals are not very sensitive to lack of coherence. The interest of number theorists in Costas arrays resulted in an extensive search for all the available sequences at increasing sizes N , through both construction algorithms and exhaustive search .
Tex April 17, 2012 16: 27 Page 43 Information theory and radar waveform design 43 number of equiprobable classes into which we can assign the random vector X by observation of the random vector Y; then we relate I (X; Y) to the average measurement error through use of the rate-distortion function. This is done in the following two propositions. We will also cite a result relating to this problem . Consider the problem of putting X into one of N equiprobable classes based on observation of Y.
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