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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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International Journal of Adaptive Control and Signal Processing, 2020
In this paper, we are concerned with the problem of adaptive output‐feedback tracking control for nonlinear systems with input quantization, unmodeled dynamics, and output constraints.
Min Wang, Tianping Zhang, Yuequan Yang
semanticscholar +1 more source
In this paper, we are concerned with the problem of adaptive output‐feedback tracking control for nonlinear systems with input quantization, unmodeled dynamics, and output constraints.
Min Wang, Tianping Zhang, Yuequan Yang
semanticscholar +1 more source
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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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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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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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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An algorithm for linearly constrained adaptive array processing
, 1972A constrained least mean-squares algorithm has been derived which is capable of adjusting an array of sensors in real time to respond to a signal coming from a desired direction while discriminating against noises coming from other directions.
O. Frost
semanticscholar +1 more source
Advances and Open Problems in Federated Learning
Foundations and Trends in Machine Learning, 2021Han Yu, Ana Cecilia Boetto
exaly