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Quantization of signals in additive noise: Efficiency and linearity of the equal step-size quantizer

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1 Author(s)
Broman, H. ; Chalmers University of Technology, Göteborg, Sweden

The influence of an equal step-size quantizer on the sum of signal and noise is determined for general one-dimensional noise density functions. The efficiency and the nonlinearity of the quantized signal are studied in detail. It is shown that in many cases of practical importance even a very crude quantization yields sufficiently linear and surprisingly efficient signal estimates.

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Acoustics, Speech and Signal Processing, IEEE Transactions on  (Volume:25 ,  Issue: 6 )