Results 201 to 210 of about 541,388 (266)
The operation of digital signal processors in continuous time is discussed. It is shown that the main advantages of digital arithmetic can be maintained in such operations, while aliasing of the signal and the quantization error is avoided altogether. Continuous-time operation makes possible a smaller number of bits for a given signal-to-quantization ...
Y. Tsividis
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In this article, we use the interval mathematics and targeted rounding by specific functions to establish a framework for interval quantization. The function approximation FId, that maps x to an interval [x1, x2] such that x1 is the largest floating point number less than or equal to x and x2 is the smallest floating point number greater than or equal
Adrião Duarte Dória Neto+4 more
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Novel multi-input signal-processing networks with reduced quantization noise
Abstract New modular multi-input networks for direct arithmetic operations on delta-modulated input and output signals are designed and discussed. These networks are useful for delta-modulated signal-processing applications. They have advantages over those proposed up to now in that their design procedure is simpler, they are cheaper and, most ...
N. Kouvaras
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Quantization error in processing the signal from a laser Doppler anemometer
The effect of quantization noise arising in the course of digital processing of the signal of a laser Doppler anemometer on the error in Doppler signal frequency estimation in the time domain is considered. It is shown that in high-precision measurements the quantization noise that appears in amplitude quantization of the signal of a laser Doppler ...
B. A. Pavlovskii, B. Rukk
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Hybrid Optical Phase Quantization for All-optical Signal Processing
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.
Shu Namiki+3 more
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Level quantization effects in digital signal processing by discrete Fourier transform method
The paper is aimed at drawing the attention of developers of measuring and computing devices based on modern microelectronic elements to a crucial problem of digital signal processing - quantization of the signal levels. Study of the quantization effects and of distortions caused by those effects is carried out for spectral analysis based on discrete ...
Gamlet S. Khanyan
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Moment preserving quantization (signal processing)
IEEE Transactions on Communications, 1991The 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 ...
O.R. Mitchell, Edward J. Delp
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A Self-Organizing Algorithm for Vector Quantizer Design Applied to Signal Processing
International Journal of Neural Systems, 1999Vector 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 ...
Francisco Madeiro+3 more
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Signal-dependent variable-resolution quantization for continuous-time digital signal processing
2009 IEEE International Symposium on Circuits and Systems, 2009A 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.
Yannis Tsividis, Mariya Kurchuk
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Signal processing by random reference quantizing
Signal Processing, 1979Abstract 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 ...
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