DocumentCode :
3319322
Title :
Estimation of signal power parameter under binary quantized samples
Author :
Bizyaev, Aleksey A. ; Vostretsov, Aleksey G.
Author_Institution :
Novosibirsk State Tech. Univ., Russia
fYear :
2001
fDate :
2001
Firstpage :
144
Abstract :
Summary form only given. The method, based on adding to the audio or video signal Gaussian wide-band noise, is widely used in modem digital audio and video systems for reducing the quantization errors and such effects as small amplitude signal clipping or loss during analog-to-digital conversion. Such systems have been referred to as systems with dither. Adding dither to the signal ensures a greater dynamic range for recording, however, the level of system noise will increase and the quality of weak signals remains reduced. This situation may be improved significantly if there is appropriate sampling in the processing of the signal, and dither composition analog-to-digital conversion is applied. The signal samples processing algorithm synthesis and analysis for systems with dither and binary quantized input data (i.e. in a system using a single-digit analog-to-digital converter) are presented in this work
Keywords :
Gaussian noise; audio signal processing; parameter estimation; quantisation (signal); signal sampling; video signal processing; ADC; Gaussian wide-band noise; analog-to-digital conversion; audio signal; binary quantized input data; binary quantized samples; dither; dynamic range; quantization errors; signal power parameter estimation; signal samples processing algorithm; signal sampling; video signal; Analog-digital conversion; Audio recording; Dynamic range; Gaussian noise; Modems; Noise level; Noise reduction; Quantization; Signal processing; Wideband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electron Devices and Materials, 2001. Proceedings. 2nd Annual Siberian Russian Student Workshop on
Conference_Location :
Erlagol, Altai
Print_ISBN :
5-7782-0347-0
Type :
conf
DOI :
10.1109/SREDM.2001.939181
Filename :
939181
Link To Document :
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