Title :
Stochastic quantization transfer functions for high resolution signal estimation
Author :
Berndt, H. ; Jentschel, H.-J.
Author_Institution :
Dresden Univ. of Technol., Germany
Abstract :
Scalar signal quantization is commonly based on a deterministic definition of nonlinear transfer functions. However, in the more general case of stochastic quantization a non-deterministic approach is required. This paper presents an analysis of general stochastic quantization properties derived from a model incorporating a regular deterministic quantizer. It is shown how stochastic quantization transfer functions providing constant mean square error independent of the actual probability density distribution of the signal being quantized can be derived. Simulation results illustrating performance and limits of the proposed quantizer are given.
Keywords :
mean square error methods; probability; quantisation (signal); signal resolution; stochastic processes; transfer functions; MSE; high resolution signal estimation; mean square error; nondeterministic approach; nonlinear transfer functions; probability density distribution; quantizer performance; regular deterministic quantizer; simulation results; stochastic quantization transfer functions; Equations; Estimation; Mean square error methods; Probability density function; Quantization; Random processes; Sampling methods; Signal resolution; Stochastic processes; Transfer functions;
Conference_Titel :
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN :
0-7803-7503-3
DOI :
10.1109/ICDSP.2002.1028231
