This is an outdated version published on 2020-07-02. Read the most recent version.
Preprint / Version 3

Uniform Quantization of Signals with Clipped and Truncated Laplace Distributions

##article.authors##

DOI:

https://doi.org/10.31224/osf.io/k6qth

Keywords:

ADC, A/D converter, analog-to-digital converter, clipped signal, clipping, Laplace, Laplace distribution, long-tailed distribution, music, probability density function, quantization, SDR, signals, signal-to-distortion ratio, signal-to-noise ratio, SNR, speech, statistical distributions, test, testing, test signals, truncated signal, truncation, variance

Abstract

Many natural and man-made signals including much of speech and music are well-modeled by the Laplace distribution. Methods of synthesizing such signals are available and sometimes preferred over traditional test signals. However, sometimes those Laplace-like signals are clipped or do not exhibit infinitely-long tails. These situations are analyzed to determine their variances with an application of estimating signal-to-noise ratio as they are quantized by an analog-to-digital converter.

Downloads

Download data is not yet available.

Downloads

Posted

2020-07-02 — Updated on 2020-07-02

Versions