Results 111 to 120 of about 7,894 (165)

Moment preserving quantization (signal processing)

IEEE Transactions on Communications, 1991
The general solution to the moment-preserving (MP) quantizer problem is presented. It is shown that the moment preserving quantizer is related to the Gauss-Jacobi mechanical quadrature, the output levels of the N-level MP quantizer are the N zeros of an Nth degree orthogonal polynomial associated with the input probability distribution function, and ...
E.J. Delp, O.R. Mitchell
openaire   +1 more source

Phase quantized SAR signal processing: theory and experiments

IEEE Transactions on Aerospace and Electronic Systems, 1999
A complete theory of synthetic aperture radar (SAR) processing from phase-only data is presented, for both analogue and coded raw signals and reference functions. Appropriate processing architectures are presented as well as quality indexes to judge performance of the selected coding. The analysis encompasses both images and interferometric fringes for
G. FRANCESCHETTI   +2 more
openaire   +1 more source

Signal-dependent variable-resolution quantization for continuous-time digital signal processing

2009 IEEE International Symposium on Circuits and Systems, 2009
A variable-bit quantization scheme is proposed for use in the context of continuous-time digital signal processing, with resolution depended on signal speed. It is shown that a decrease in resolution for fast inputs does not corrupt the inband spectrum, while leading to power savings. Analysis and extensive simulations are provided.
Mariya Kurchuk, Yannis Tsividis
openaire   +1 more source

Hybrid Optical Phase Quantization for All-optical Signal Processing

Asia Communications and Photonics Conference 2015, 2015
Recent progress in all-optical signal processing based on the novel hybrid optical phase squeezer (HOPS) is presented. After reviewing the principle, we experimentally demonstrate various configurations of HOPS to phase-regenerate BPSK signal and QPSK signal.
Takayuki Kurosu   +3 more
openaire   +1 more source

A Self-Organizing Algorithm for Vector Quantizer Design Applied to Signal Processing

International Journal of Neural Systems, 1999
Vector quantization plays an important role in many signal processing problems, such as speech/speaker recognition and signal compression. This paper presents an unsupervised algorithm for vector quantizer design. Although the proposed method is inspired in Kohonen learning, it does not incorporate the classical definition of topological neighborhood ...
F, Madeiro   +3 more
openaire   +2 more sources

Signal processing by random reference quantizing

Signal Processing, 1979
Abstract This paper deals with the propertie of Quantizer transfer characteristic smoothing when a quantizer with random parameters is used instead of a classical deterministic quantizer (Random Quantization). The author establishes a mathematical expression of the smoothing of the transfer characteristic, for any order moment of the quantized ...
openaire   +1 more source

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