Results 211 to 220 of about 541,388 (266)
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Optimum quantization for signal processing and error correction in NAND flash memory
International Symposium on Signals, Circuits and Systems ISSCS2013, 2013Conventional error correction employing hard-decision decoding algorithms is not sufficient to correct all the bit errors in high density NAND flash memory. Recently, signal processing algorithms as well as soft-decision error correction are widely studied for improving error correcting performance.
Wonyong Sung, Donghwan Lee, Jonghong Kim
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Are Traditional Signal Processing Techniques Rate Maximizing in Quantized SU-MISO Systems?
GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2017In this contribution, we provide an information theoretical analysis of coarsely-quantized downlink Single-User (SU)- Multiple Input Single Output (MISO) communication systems. We address the question of whether traditional signal processing techniques, i.e., proper signaling and channel rank transmit covariance matrices, are still optimal with respect
A. Lee Swindlehurst+4 more
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Signal Processing, 1985
Abstract The quantization noise introduced by the direct arithmetic operations on delta modulated signals can be considerably reduced by a proposed technique. According to this technique, the arithmetic network of a digital filter is clocked at a rate higher than that of the delta modulation encoder. Thus, as it is proved, a considerable reduction of
J. Karakatsanis, N. Kouvaras
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Abstract The quantization noise introduced by the direct arithmetic operations on delta modulated signals can be considerably reduced by a proposed technique. According to this technique, the arithmetic network of a digital filter is clocked at a rate higher than that of the delta modulation encoder. Thus, as it is proved, a considerable reduction of
J. Karakatsanis, N. Kouvaras
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IEEE Signal Processing Magazine, 2016
Inner-product operations are used extensively in embedded digital signal processing (DSP) systems. Their applications range from signal processing (filtering/convolution) to inference (classification). In embedded systems, resources (energy, area, etc.) are typically highly constrained, making tradeoffs with computational precision a fundamental ...
Naveen Verma, Zhuo Wang, Jintao Zhang
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Inner-product operations are used extensively in embedded digital signal processing (DSP) systems. Their applications range from signal processing (filtering/convolution) to inference (classification). In embedded systems, resources (energy, area, etc.) are typically highly constrained, making tradeoffs with computational precision a fundamental ...
Naveen Verma, Zhuo Wang, Jintao Zhang
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The Journal of the Acoustical Society of America, 1987
In previous studies, performance models were developed for a system composed of quantizers followed by an OR-ing device and an accumulator. In this article, a method is presented to determine the breakpoints and the levels of the quantizer by maximizing the detector efficacy. Asymptotic and finite sample performances are presented and compared with the
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In previous studies, performance models were developed for a system composed of quantizers followed by an OR-ing device and an accumulator. In this article, a method is presented to determine the breakpoints and the levels of the quantizer by maximizing the detector efficacy. Asymptotic and finite sample performances are presented and compared with the
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2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), 2017
This paper describes a new method of analyzing the effects of the quantization noise in cascaded multirate filter structure based on a calculation of Power Spectral Density (PSD) of quantization noise at the output of the digital system with the consideration of the filtering action of all its multiple cascades and multiple decimations.
Mykola Pavlenko, Alexander Kalyuzhny
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This paper describes a new method of analyzing the effects of the quantization noise in cascaded multirate filter structure based on a calculation of Power Spectral Density (PSD) of quantization noise at the output of the digital system with the consideration of the filtering action of all its multiple cascades and multiple decimations.
Mykola Pavlenko, Alexander Kalyuzhny
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SSCS Open Journal Webinar: Quantized-Analog Signal Processing Slides
2023Abstract: Nowadays both digital and analog electronics are reaching fundamental limits that will require revolutionary approaches to satisfy the power/bandwidth requirements of the next generation of data-driven applications.In the first part of the talk, analog and digital signal processing will be compared in terms of power efficiency by highlighting
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2008
If you are working in digital signal processing, control or numerical analysis, you will find this authoritative analysis of quantization noise (roundoff error) invaluable. Do you know where the theory of quantization noise comes from, and under what circumstances it is true?
Bernard Widrow, István Kollár
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If you are working in digital signal processing, control or numerical analysis, you will find this authoritative analysis of quantization noise (roundoff error) invaluable. Do you know where the theory of quantization noise comes from, and under what circumstances it is true?
Bernard Widrow, István Kollár
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39th European Conference and Exhibition on Optical Communication (ECOC 2013), 2013
The potential of four-level optical phase quantizers towards coherent processing of advanced modulation formats such as 16-QAM is proposed and numerically demonstrated. The work shows that phase quantization can demultiplex 16-QAM into two QPSK signals enabling sub-channel switching and optical regeneration of 16-QAM modulation formats.
Adonis Bogris, Dimitris Syvridis
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The potential of four-level optical phase quantizers towards coherent processing of advanced modulation formats such as 16-QAM is proposed and numerically demonstrated. The work shows that phase quantization can demultiplex 16-QAM into two QPSK signals enabling sub-channel switching and optical regeneration of 16-QAM modulation formats.
Adonis Bogris, Dimitris Syvridis
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Advances and Open Problems in Federated Learning
Foundations and Trends in Machine Learning, 2021Han Yu, Ana Cecilia Boetto
exaly