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Journal ArticleDOI

The history of linear prediction

B.S. Atal
- 24 Apr 2006 - 
- Vol. 23, Iss: 2, pp 154-161
TLDR
This paper recollects the events that led to proposing the linear prediction coding (LPC) method, then the multipulse LPC and the code-excited LPC.
Abstract
This paper recollects the events that led to proposing the linear prediction coding (LPC) method, then the multipulse LPC and the code-excited LPC

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Journal ArticleDOI

Multirate digital signal processing

TL;DR: This book by Elliott and Rao is a valuable contribution to the general areas of signal processing and communications and can be used for a graduate level course in perhaps two ways.
Journal ArticleDOI

Real-Time Multiple Sound Source Localization and Counting Using a Circular Microphone Array

TL;DR: A multiple sound source localization and counting method is presented, that imposes relaxed sparsity constraints on the source signals, and is shown to have excellent performance for DOA estimation and source counting, and to be highly suitable for real-time applications due to its low complexity.
Book

数字信号处理 = Understanding digital signal processing

TL;DR: Comprehensive in scope, and gentle in approach, this book will help you achieve a thorough grasp of the basics and move gradually to more sophisticated DSP concepts and applications.
Journal Article

Speech Data Compression using Vector Quantization

TL;DR: A new performance parameter Average Fractional Change in Speech Sample (AFCSS) is introduced and the FCG algorithm gives far better performance considering mean absolute error, AFCSS and complexity as compared to others.
Journal ArticleDOI

Bio-Inspired Optimization of Sustainable Energy Systems: A Review

TL;DR: This paper summarizes the recent advances in bio-inspired optimization methods, including artificial neural networks, evolutionary algorithms, swarm intelligence, and their hybridizations, which are applied to the field of sustainable energy development.
References
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Journal ArticleDOI

A mathematical theory of communication

TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
Book

Discrete-Time Signal Processing

TL;DR: 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.
Book

Theory and application of digital signal processing

TL;DR: Feyman and Wing as discussed by the authors introduced the simplicity of the invariant imbedding method to tackle various problems of interest to engineers, physicists, applied mathematicians, and numerical analysts.
Book

Understanding digital signal processing

TL;DR: In this article, the author covers the essential mathematics by explaining the meaning and significance of the key DSP equations, and the book will help to achieve a thorough grasp of the basics and move gradually to more sophisticated DSP concepts and applications.
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