Title :
Near optimum filtering of quantized signals
Author :
Alencar, Marcelo S. ; Scharcanski, Jacob
Author_Institution :
Dept. de Engenharia Eletrica, Univ. Federal da Paraiba, Joao Pessoa, Brazil
Abstract :
The need for representing signals by a finite number of bits implies that quantization noise is present in almost all digital signal processing systems and inherently occurs in the analog-to-digital conversion process. The distortion error, or quantization noise, consists of the difference between the input to the quantizer and the discrete output signal. A near-optimum method for filtering out the quantization noise is presented. Use is made of the result that the spectrum of the quantization noise is related to the probability density function of the signal derivative
Keywords :
filtering theory; noise; optimisation; probability; quantisation (signal); signal representation; spectral analysis; ADC; analog-to-digital conversion; digital signal processing systems; discrete output signal; distortion error; near optimum filtering; near-optimum method; probability density function; quantization noise spectrum; quantized signals; signal derivative; signal representation; Equations; Filtering; Gaussian noise; Matched filters; Probability density function; Quantization; Signal design; Signal processing; USA Councils; Wiener filter;
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
DOI :
10.1109/ISIT.1995.531321