Results 1 to 10 of about 7,894 (165)
Quantization in Compressive Sensing: A Signal Processing Approach [PDF]
IEEE Access, 2020 The influence of finite-length registers and the corresponding quantization effects on the reconstruction of sparse and approximately sparse signals from a reduced set of measurements is analyzed in this paper.
Isidora Stankovic +4 more
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Optimization of Quantized Analog Signal Processing Using Genetic Algorithms and μ-Law [PDF]
IEEE Open Journal of Circuits and Systems, 2022 Digital mismatch calibration for quantized analog (QA) signal processing is proposed for the first time. Since the proposed calibration mechanism does not require uniform QA slicer levels, non-uniform quantization can be applied to improve the system ...
Qingnan Yu +2 more
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Доклады Белорусского государственного университета информатики и радиоэлектроники, 2023 The paper presents a technique for estimating the information parameters of the quantization noise generated by the analog-to-digital conversion of the measuring signal. An experiment and algorithm descriptions are presented to confirm the correctness of
V. K. Zheleznyak +2 more
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Известия высших учебных заведений России: Радиоэлектроника, 2021 Introduction. The digital representation of received radar signals has provided a wide range of opportunities for their processing. However, the used hardware and software impose some limits on the number of bits and sampling rate of the signal at all ...
S. R. Heister, V. V. Kirichenko
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WEIGHTLESS PROCESSING OF QUANTIZED SIGNAL LOAD
T-Comm, 2021 Optimal methods for processing input information signals often involve operations, implementation of which is extremely difficult and significantly increases the requirements for automated information processing systems. However, the use of various approaches to solving this problem has led to the appearance of synthesized methods for processing a ...
Vladimir I. Filatov +3 more
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Quantization of VLSI digital signal processing systems [PDF]
EURASIP Journal on Advances in Signal Processing, 2012 Digital systems have finite precision, which imposes a maximum bound on the accuracy of the results of the computed mathematical operations. The so-called quantization process, also wordlength optimization, aims at finding cost-efficient hardware architectures that comply with a given maximum accuracy loss. Floating-point arithmetic is commonly used to
Caffarena, Gabriel +4 more
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Optimized Quantization in Distributed Graph Signal Processing [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 Distributed graph signal processing methods require that the graph nodes communicate by exchanging messages. These messages have a finite precision in a realistic network, which may necessitate to implement quantization. Quantization, in turn, generates errors in the distributed processing tasks, compared to perfect settings.
Isabela Cunha Maia Nobre +1 more
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Quantization error for weak RF simultaneous signal estimation
EURASIP Journal on Advances in Signal Processing, 2023 In a congested signal environment, it is difficult to obtain estimates of weak RF signal parameters. Determining signal parameter estimates in real time is a challenge for electronic warfare receivers that aim to receive multiple simultaneous signals ...
Mary Y. Lanzerotti +2 more
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LUT Filters for Quantized Processing of Signals [PDF]
IEEE Transactions on Signal Processing, 2004 We introduce a method to perform filtering on approximations (quantized versions) of the input signal, which lends itself to a practical implementation solely based on look-up tables (LUTs). The LUT filter approximates the performance of some traditional nonlinear filters at a fraction of the cost. The filter is divided into an approximation stage that
R.L. de Queiroz, P.A. Stein
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Entropy, 2021 Quantizers play a critical role in digital signal processing systems. Recent works have shown that the performance of acquiring multiple analog signals using scalar analog-to-digital converters (ADCs) can be significantly improved by processing the ...
Nir Shlezinger, Yonina C. Eldar
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