Results 1 to 10 of about 541,388 (266)
Quantization in Compressive Sensing: A Signal Processing Approach [PDF]
IEEE Access, 2020 13 pages, 7 ...
Isidora Stankovic +4 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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Quantization issues in signal processing & control system design [PDF]
Australian Journal of Electrical and Electronics Engineering, 2005 Many interesting design problems encountered in signal processing and control turn out to depend on a set of decision variables that can only take a finite number of values, i.e., they are quantized. For example, in power distribution networks there are only a finite number (typically small) of generators and possible transmission options.
Quevedo, Daniel E., Goodwin, Graham C.
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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.
Cunha Maia Nobre, Isabela +1 more
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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 ...
Irina A. Rudzit +3 more
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Noise reduction in speech signal processing by neural network and vector quantization [PDF]
The Journal of the Acoustical Society of America, 1988 The autocorrelation function provides basic data for speech signal processing by the linear prediction algorithm. The first step toward developing a practical speech signal processing technique is noise reduction in the autocorrelation function of speech corrupted by noise.
Kazuo Nakata, Akihiko Sugiura
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Quantized Fir Filter Design: A Collaborative Project For Digital Signal Processing And Digital Design Courses [PDF]
2004 Annual Conference Proceedings, 2020 Comment: 13 ...
Kishore Kotteri, Joan Carletta, Amy Bell
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Reconsidering Linear Transmit Signal Processing in 1-Bit Quantized Multi-User MISO Systems [PDF]
IEEE Transactions on Wireless Communications, 2019 In this contribution, we investigate a coarsely quantized Multi-User (MU)-Multiple Input Single Output (MISO) downlink communication system, where we assume 1-Bit Digital-to-Analog Converters (DACs) at the Base Station (BS) antennas. First, we analyze the achievable sum rate lower-bound using the Bussgang decomposition.
Oliver De Candido +4 more
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Signal Processing of Coast-Ship Bistatic High-Frequency Surface-Wave Radar Using One-Bit Quantized Measurement [PDF]
IEEE Access, 2020 The feasibility of one-bit quantization in coast-ship bistatic high-frequency surface-wave radar (HFSWR) is mainly discussed in order to enjoy the advantages of simplicity, low cost and low power consumption. Our theoretical derivation shows that the received signal after one-bit quantization can be expressed as a linear combination of infinite ...
Bingfan Liu, Baixiao Chen, Minglei Yang
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