Results 251 to 260 of about 1,126,532 (319)

Detection and Localization of One-Bit Signal in Multiple Distributed Subarray Systems

IEEE Transactions on Signal Processing, 2023
A multiple distributed subarray (MDS) system usually transmits the raw data to the fusion center (FC), where the target detection and localization can be processed.
Lihua Ni, Di Zhang, Yimao Sun, Ning Liu, Jing Liang, Q. Wan   +5 more
semanticscholar   +1 more source

Multirate Digital Signal Processing and Noise Suppression for Dual Active Bridge DC–DC Converters in a Power Electronic Traction Transformer

IEEE transactions on power electronics, 2018
Power electronic traction transformer (PETT) is a single-phase ac–dc conversional system, which is made up of a cascaded H-bridge converter and output-parallel dc–dc converters, such as dual active bridge dc–dc (DAB) converters.
Jingxi Yang, Jianqiang Liu, Jiepin Zhang, Nan Zhao, Yang Wang, T. Zheng   +5 more
semanticscholar   +1 more source

Fuzzy Dispersion Entropy: A Nonlinear Measure for Signal Analysis

IEEE transactions on fuzzy systems, 2022
Entropy is a powerful tool for nonlinear analysis of time series. We have recently introduced dispersion entropy (DispEn), which has widely drawn attention from researchers in a variety of settings in data analysis.
M. Rostaghi, M. M. Khatibi, M. Ashory, Hamed Azami   +3 more
semanticscholar   +1 more source

Hybrid Optical Phase Quantization for All-optical Signal Processing

Asia Communications and Photonics Conference 2015, 2015
Recent progress in all-optical signal processing based on the novel hybrid optical phase squeezer (HOPS) is presented. After reviewing the principle, we experimentally demonstrate various configurations of HOPS to phase-regenerate BPSK signal and QPSK signal.
Shu Namiki, Karen Solis-Trapala, Takayuki Kurosu, Hung Nguyen Tan   +3 more
openaire   +2 more sources

Signal processing by random reference quantizing

Signal Processing, 1979
Abstract This paper deals with the propertie of Quantizer transfer characteristic smoothing when a quantizer with random parameters is used instead of a classical deterministic quantizer (Random Quantization). The author establishes a mathematical expression of the smoothing of the transfer characteristic, for any order moment of the quantized ...
openaire   +2 more sources

Finite‐time adaptive fuzzy command filtering control for stochastic nonlinear systems with input quantization

International Journal of Adaptive Control and Signal Processing, 2021
This article focuses on the finite‐time adaptive fuzzy control problem based on command filtering for stochastic nonlinear systems subject to input quantization. Fuzzy logic systems are employed to estimate unknown nonlinearities.
Shijia Kang, P. X. Liu, Huanqing Wang
semanticscholar   +1 more source

Optimum quantization for signal processing and error correction in NAND flash memory

International Symposium on Signals, Circuits and Systems ISSCS2013, 2013
Conventional error correction employing hard-decision decoding algorithms is not sufficient to correct all the bit errors in high density NAND flash memory. Recently, signal processing algorithms as well as soft-decision error correction are widely studied for improving error correcting performance.
Wonyong Sung, Donghwan Lee, Jonghong Kim
openaire   +2 more sources

Federated Learning with Quantization Constraints

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020
Traditional deep learning models are trained on centralized servers using labeled sample data collected from edge devices. This data often includes private information, which the users may not be willing to share.
Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Poor, Shuguang Cui   +4 more
semanticscholar   +1 more source

Floating Point and Fixed Point 32-bits Quantizers for Quantization of Weights of Neural Networks

International Symposium on Advanced Topics in Electrical Engineering, 2021
Floating Point 32-bits (FP32) representation format is proposed by IEEE Standard 754, being widely used in neural networks (NN), signal processing and numerical computation. Also, Fixed Point 32-bits format is widely used for data representation.
Z. Perić, Milan S. Savic, M. Dincic, N. Vučić, D. Djosic, S. Milosavljevic   +5 more
semanticscholar   +1 more source

One-Shot Voice Conversion by Vector Quantization

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020
In this paper, we propose a vector quantization (VQ) based one-shot voice conversion (VC) approach without any supervision on speaker label. We model the content embedding as a series of discrete codes and take the difference between quantize-before and ...
Da-Yi Wu, Hung-yi Lee
semanticscholar   +1 more source