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Discrete-Time Signal Processing

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TLDR
In this paper, the authors provide a thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete time Fourier analysis.
Abstract
For senior/graduate-level courses in Discrete-Time Signal Processing. THE definitive, authoritative text on DSP -- ideal for those with an introductory-level knowledge of signals and systems. Written by prominent, DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field --without limiting itself to specific technologies with relatively short life spans.

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Linear phase FIR filter design using particle swarm optimization and genetic algorithms

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Three-Dimensional Embedded Subband Coding with Optimized Truncation (3-D ESCOT)

TL;DR: In this article, a three-dimensional embedded subband coding with optimized truncation (3-D ESCOT) algorithm is proposed, in which coefficients in different subbands are independently coded using fractional bit-plane coding and candidate truncation points are formed at the end of each fractional bits-plane.
Proceedings ArticleDOI

3D Action Recognition from Novel Viewpoints

TL;DR: The proposed human pose representation model is able to generalize to real depth images of unseen poses without the need for re-training or fine-tuning and dramatically outperforms existing state-of-the-art in action recognition.