Results 121 to 130 of about 5,685 (163)
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Data Compression Conference, 2005
We consider the problem of finding the optimal one-bit quantizer for symmetric source distributions, with the Euclidean norm as the measure of distortion. For fixed rate quantizers, we prove that for (symmetric) monotonically decreasing source distributions with ellipsoidal level curves, the centroids of the optimal 1-bit quantizer must be on the major
Alessandro Magnani +2 more
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We consider the problem of finding the optimal one-bit quantizer for symmetric source distributions, with the Euclidean norm as the measure of distortion. For fixed rate quantizers, we prove that for (symmetric) monotonically decreasing source distributions with ellipsoidal level curves, the centroids of the optimal 1-bit quantizer must be on the major
Alessandro Magnani +2 more
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One-Bit Quantized Channel Prediction with Neural Networks
2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021We study the problem of predicting channel coefficients from one-bit quantized observations in an environment of a moving user who sends pilots to a base station. To start with, we propose a prediction algorithm which consists of two stages. The first stage aims at reconstructing the high-resolution (pre-quantization) receive signal.
Nurettin Turan +2 more
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Nonparametric one-bit quantizers for distributed estimation
2008 IEEE International Symposium on Information Theory, 2008In this paper, we consider the distributed parameter estimation problem using one-bit quantized data from local sensors. Nonparametric distributed estimators are proposed based on knowledge of the moments of sensor noise. These estimators are shown to be either unbiased or asymptotically unbiased with bounded estimation variance for all possible ...
Hao Chen 0001, Pramod K. Varshney
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On the use of one bit quantizers in networked control
Automatica, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Graham C. Goodwin +3 more
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Optimum one-bit block quantizing
The Journal of the Acoustical Society of America, 1976An iterative method is described which allows determination of the optimum parameters of a first-order one-bit quantizer in the least-mean-square error sense. Those parameters are computed from a finite sequence of a block of samples. The reference first-order equation being nonlinear, an iterative substitution method is used to obtain the optimum ...
D. Esteban, J. Menez, J. P. Temine
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Deep Learning-Based Encoder for One-Bit Quantization
2019 IEEE Global Communications Conference (GLOBECOM), 2019This paper proposes a deep learning-based error correction coding for AWGN channels under the constraint of one-bit quantization in receivers. An autoencoder is designed and integrated with a turbo code that acts as an implicit regularization. This implicit regularizer facilitates approaching the Shannon bound for the one-bit quantized AWGN channels ...
Eren Balevi, Jeffrey G. Andrews
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One-Bit Quantizer Design for Multisensor GLRT Fusion
IEEE Signal Processing Letters, 2013In this letter, we consider a decentralized detection problem in which a number of sensor nodes collaborate to detect the presence of an unknown deterministic signal. Due to stringent power/bandwidth constraints, each sensor quantizes its local observation into one bit of information.
Jun Fang 0001 +3 more
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On the performance degradation from one-bit quantized detection
IEEE Transactions on Information Theory, 1995Summary: It is common signal detection practice to base tests on quantized data and frequently, as in decentralized detection, this quantization is extreme: to a single bit. As to the accompanying degradation in performance, certain cases (such as that of an additive signal model and an efficacy measure) are well-understood.
Peter Willett 0001, Peter F. Swaszek
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Learning a Low-Complexity Channel Estimator for One-Bit Quantization
2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020A low-complexity convolutional neural network (CNN) channel estimator has been proposed recently, which was designed based on assumptions on the underlying channel model. In this work, we investigate how one-bit quantized observations affect this CNN estimator.
Benedikt Fesl +3 more
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One‐bit sigma‐delta quantization with exponential accuracy
Communications on Pure and Applied Mathematics, 2003AbstractOne‐bit quantization is a method of representing bandlimited signals by ±1 sequences that are computed from regularly spaced samples of these signals; as the sampling density λ → ∞, convolving these one‐bit sequences with appropriately chosen filters produces increasingly close approximations of the original signals.
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