Results 21 to 30 of about 1,240,549 (346)
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 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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Signal Processing Methods to Enhance the Energy Efficiency of In-Memory Computing Architectures
IEEE Transactions on Signal Processing, 2021 This paper presents signal processing methods to enhance the energy vs. accuracy trade-off of in-memory computing (IMC) architectures. First, an optimal clipping criterion (OCC) for signal quantization is proposed in order to minimize the precision of ...
Charbel Sakr, Naresh R Shanbhag
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Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 Communication of model updates between client nodes and the central aggregating server is a major bottleneck in federated learning, especially in bandwidth-limited settings and high-dimensional models.
Divyansh Jhunjhunwala +3 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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UNO: Unlimited Sampling Meets One-Bit Quantization [PDF]
IEEE Transactions on Signal Processing, 2022 Recent results in one-bit sampling provide a framework for a relatively low-cost, low-power sampling, at a high rate by employing time-varying sampling threshold sequences.
Arian Eamaz +3 more
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Deep Signal Recovery with One-bit Quantization [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018 Machine learning, and more specifically deep learning, have shown remarkable performance in sensing, communications, and inference. In this paper, we consider the application of the deep unfolding technique in the problem of signal reconstruction from ...
Shahin Khobahi +3 more
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UVeQFed: Universal Vector Quantization for Federated Learning [PDF]
IEEE Transactions on Signal Processing, 2020 Traditional deep learning models are trained at a centralized server using data samples collected from users. Such data samples often include private information, which the users may not be willing to share.
Nir Shlezinger +4 more
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Design and Analysis of Binary Scalar Quantizer of Laplacian Source with Applications
Information, 2020 A compression method based on non-uniform binary scalar quantization, designed for the memoryless Laplacian source with zero-mean and unit variance, is analyzed in this paper.
Zoran Peric +3 more
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Quantizing Heavy-Tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery [PDF]
IEEE Transactions on Information Theory, 2022 Modern datasets often exhibit heavy-tailed behavior, while quantization is inevitable in digital signal processing and many machine learning problems. This paper studies the quantization of heavy-tailed data in several fundamental statistical estimation ...
Junren Chen, Michael K. Ng, Di Wang
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