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Reseach Article

Performance Analysis of DPCM and ADPCM

Published on February 2013 by Pratheek. R, M. N. Suma
International Conference on Electronic Design and Signal Processing
Foundation of Computer Science USA
ICEDSP - Number 3
February 2013
Authors: Pratheek. R, M. N. Suma
d270264e-6b3c-4fd0-b6e3-720498d07e98

Pratheek. R, M. N. Suma . Performance Analysis of DPCM and ADPCM. International Conference on Electronic Design and Signal Processing. ICEDSP, 3 (February 2013), 19-23.

@article{
author = { Pratheek. R, M. N. Suma },
title = { Performance Analysis of DPCM and ADPCM },
journal = { International Conference on Electronic Design and Signal Processing },
issue_date = { February 2013 },
volume = { ICEDSP },
number = { 3 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 19-23 },
numpages = 5,
url = { /specialissues/icedsp/number3/10364-1023/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronic Design and Signal Processing
%A Pratheek. R
%A M. N. Suma
%T Performance Analysis of DPCM and ADPCM
%J International Conference on Electronic Design and Signal Processing
%@ 0975-8887
%V ICEDSP
%N 3
%P 19-23
%D 2013
%I International Journal of Computer Applications
Abstract

The advantages of using signals in digital domain are of many folds. Some of the advantages compared to the analog signals are multiplexing, storage, compression & ease of reproduction of digital signals. Added to this the Moore's law factor, the cost of digital hardware continues to halve every two years while performance or capacity doubles over the same period has led to an exponential use of devices that are digital in nature. Digital signals are obtained by sampling & quantizing the analog signal so that they can be efficiently represented. In this paper, different kinds of waveform coding techniques such as DPCM & ADPCM are studied. Performance is evaluated based on Signal to Quantization Noise Ratio (SQNR) & Mean square error (MSE) measures. Encoding & decoding complexity as a function of time is also studied.

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Index Terms

Computer Science
Information Sciences

Keywords

Dpcm Adpcm Sqnr Mse Predictor Adaptive Quantizer