Complexity Reduction Algorithm for Optimum Quantizer Design Based on Amplitude Sparseness

The design of an optimum quantizer can be formulated as an optimization problem that finds the quantization indices that minimize the quantization error. One solution of the optimization problem is DP quantization, an approach based on dynamic programming. It is known that a quantized signal does no...

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Veröffentlicht in:	2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) S. 1787 - 1791
Hauptverfasser:	BANDOH, Yukihiro, TAKAMURA, Seishi, SHIMIZU, Atsushi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2018
Schlagworte:	Complexity theory dynamic programming Histograms Indexes Optimization Probability density function quantization Quantization (signal) sparseness Upper bound
ISSN:	2379-190X
Online-Zugang:	Volltext
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