Results 291 to 300 of about 1,240,549 (346)

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

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

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

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

SSCS Open Journal Webinar: Quantized-Analog Signal Processing Slides

2023
Abstract: Nowadays both digital and analog electronics are reaching fundamental limits that will require revolutionary approaches to satisfy the power/bandwidth requirements of the next generation of data-driven applications.In the first part of the talk, analog and digital signal processing will be compared in terms of power efficiency by highlighting
openaire   +1 more source

Quantization error in processing the signal from a laser Doppler anemometer

Measurement Techniques, 1998
The effect of quantization noise arising in the course of digital processing of the signal of a laser Doppler anemometer on the error in Doppler signal frequency estimation in the time domain is considered. It is shown that in high-precision measurements the quantization noise that appears in amplitude quantization of the signal of a laser Doppler ...
B. Rukk, B. A. Pavlovskii
openaire   +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.
Dong-hwan Lee, Jonghong Kim, Wonyong Sung   +2 more
openaire   +1 more source

Are Traditional Signal Processing Techniques Rate Maximizing in Quantized SU-MISO Systems?

GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2017
In this contribution, we provide an information theoretical analysis of coarsely-quantized downlink Single-User (SU)- Multiple Input Single Output (MISO) communication systems. We address the question of whether traditional signal processing techniques, i.e., proper signaling and channel rank transmit covariance matrices, are still optimal with respect
Oliver De Candido, Hela Jedda, Amine Mezghani, A. Lee Swindlehurst, Josef A. Nossek   +4 more
openaire   +1 more source

Novel multi-input signal-processing networks with reduced quantization noise

International Journal of Electronics, 1984
Abstract New modular multi-input networks for direct arithmetic operations on delta-modulated input and output signals are designed and discussed. These networks are useful for delta-modulated signal-processing applications. They have advantages over those proposed up to now in that their design procedure is simpler, they are cheaper and, most ...
openaire   +1 more source

Effects of Signal Quantization on the Performance of Multichannel Processing Systems

The Journal of the Acoustical Society of America, 1969
This paper determines the effects of amplitude quantizing on the performance of conventional or optimum multichannel space, time signal-processing systems, with emphasis on underwater acoustic applications. The system output signal-to-disturbance ratio is chosen as the performance criterion.
openaire   +1 more source