Results 31 to 40 of about 1,194,201 (348)
Covariance Estimation under One‐bit Quantization [PDF]
Pamm, 2021 We consider the classical problem of estimating the covariance matrix of a subgaussian distribution from i.i.d. samples in the novel context of coarse quantization, i.e., instead of having full knowledge of the samples, they are quantized to one or two ...
S. Dirksen, J. Maly, H. Rauhut
semanticscholar +1 more source
Variational Bayesian algorithm for quantized compressed sensing [PDF]
, 2013 Compressed sensing (CS) is on recovery of high dimensional signals from their low dimensional linear measurements under a sparsity prior and digital quantization of the measurement data is inevitable in practical implementation of CS algorithms.
Xie, Lihua, Yang, Zai, Zhang, Cishen
core +1 more source
8th International Multitopic Conference, 2004. Proceedings of INMIC 2004., 2018 In a wireless sensor network, multilevel quantization is necessary to find a compromise between minimizing the power consumption of sensors and maximizing the detection performance at the fusion center (FC).
Thomas J. Cavicchi, U. Spagnolini
semanticscholar +1 more source
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
doaj +1 more source
On Full-Duplex Radios With Modulo-ADCs
IEEE Open Journal of the Communications Society, 2021 Wireless full-duplex (FD) transceivers have become more commonplace in the recent years, enabled by improvements in hardware as well as in signal processing algorithms dedicated to self-interference (SI) mitigation.
Luis G. Ordonez +4 more
doaj +1 more source
Asymptotic Task-Based Quantization with Application to Massive MIMO [PDF]
, 2019 Quantizers take part in nearly every digital signal processing system which operates on physical signals. They are commonly designed to accurately represent the underlying signal, regardless of the specific task to be performed on the quantized data.
Eldar, Yonina C. +2 more
core +2 more sources
Mathematical Modeling of Sampling, Quantization, and Coding in Sigma Delta Converter using Matlab
UHD Journal of Science and Technology, 2017 The received analog signal must be digitized before the digital signal processing can demodulate it. Sampling, quantization, and coding are the separate stages for the analog-to-digital adaptation procedure.
Azeez Abdullah Azeez Barzinjy +2 more
doaj +1 more source
Приборы и методы измерений, 2021 The method of averaging modified periodograms is one of the main methods for estimating the power spectral density (PSD). The aim of this work was the development of mathematical and algorithmic support, which can increase the computational efficiency of
V. N. Yakimov
doaj +1 more source
The Use of Correlation Features in the Problem of Speech Recognition
Algorithms, 2023 The problem solved in the article is connected with the increase in the efficiency of phraseological radio exchange message recognition, which sometimes takes place in conditions of increased tension for the pilot.
Nikita Andriyanov
doaj +1 more source
Method of processing video data with the possibility of their protection after quantization
Радіоелектронні і комп'ютерні системи, 2021 The subject of research in the article is the video processing processes based on the JPEG platform for data transmission in the information and telecommunication network.
Дмитро Сергійович Гаврилов +4 more
doaj +1 more source