Results 231 to 240 of about 1,126,532 (319)
Linear Transmit Signal Processing in 1-Bit Quantized Massive MIMO Systems
, 2018 openaire +1 more source
Vector-based signal processing and quantization for image and video compression
Proceedings of the IEEE, 1995 Image and video compression has become an increasingly important and active area. Many techniques have been developed in this area. Any compression technique can be modeled as a three-stage process. The first stage can be generally called a signal processing stage where an image or video signal is converted into a different domain. Usually, there is no
Weiping Li, Ya-Qin Zhang
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2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004 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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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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Coefficient quantization effects in digital signal processing [PDF]
ICASSP '77. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005 A statistical analysis of the effects of coefficient quantization, which takes into account the quantization of the multiplication result, is presented. It is shown that the logarithm of the coefficient quantization noise power is proportional to the coefficient word length.
Tran Thong
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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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A Signal-Dependent Error Arising in Digitally Processed Images Due to Quantization
IEEE Transactions on Computers, 1972 A troublesome error has been found in digital data which represents an image renormalized by a computer. The error, which takes the form of anomalous patterns in the switching sequence of certain bits, contributes unnecessary, signal-dependent noise to the-data.
V.D. Brown, W.H. Carter
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Effects of Signal Quantization on the Performance of Multichannel Processing Systems
The Journal of the Acoustical Society of America, 1969 This paper determines the effects of amplitude quantizing on the performance of conventional or optimum multichannel space, time signal-processing systems, with emphasis on underwater acoustic applications. The system output signal-to-disturbance ratio is chosen as the performance criterion.
Ayhan Vural
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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
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