Results 11 to 20 of about 887,103 (337)
Discrete Signal Processing on Graphs: Sampling Theory [PDF]
IEEE Transactions on Signal Processing, 2015 We propose a sampling theory for signals that are supported on either directed or undirected graphs. The theory follows the same paradigm as classical sampling theory. We show that the perfect recovery is possible for graph signals bandlimited under the graph Fourier transform, and the sampled signal coefficients form a new graph signal, whose ...
Chen, Siheng +3 more
openaire +3 more sources
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies
IEEE Transactions on Signal Processing, 2018 Submitted to IEEE Transactions on Signal Processing, September ...
Paolo Di Lorenzo +4 more
openaire +6 more sources
Sample Abundance for Signal Processing: A Brief Introduction [PDF]
This paper reports, by way of introduction, on the advances made by our group and the broader signal processing community on the concept of sample abundance; a phenomenon that naturally arises in one-bit and few-bit signal processing frameworks. By leveraging large volumes of low-precision measurements, we show how traditionally costly constraints ...
Arian Eamaz +2 more
openalex +3 more sources
Signal sampling and processing in magnetic resonance applications
, 2018 In this thesis, signal sampling and processing techniques are developed for magnetic resonance applications, to improve the estimation of magnetic resonance parameters and to reduce experimental acquisition times. Two processing techniques are developed for Nuclear Magnetic Resonance (NMR) relaxation and diffusion experiments.
Andi Reci
openalex +3 more sources
Photonic Signal Processing in Phase-Coded Lidar System
Photonics, 2023 The next generation of lidar systems needs to adapt to variable environments with broadened bandwidth for increased resolution. Due to their digital components, conventional lidar systems, especially imaging lidar systems, suffer from limited detector ...
Shuyu Chen +4 more
doaj +1 more source
Overview of Signal Processing Problems in Power Electronic Control Circuits
Energies, 2023 This paper examines various aspects related to digital signal processing in digital control circuits used in power electronics. The discussion focuses on several common issues, including the sampling rate of signals (including phenomena such as aliasing ...
Krzysztof Sozański
doaj +1 more source
Design of a Digital Array Signal Processing System with Full Array Element
Remote Sensing, 2023 For the application of a digital array signal processing system with a high sampling rate and large bandwidth, and considering the constraints of limited resources (performance, volume, power consumption, weight, etc.), this paper proposes a design and ...
Guoyao Xiao +4 more
doaj +1 more source
Coprime sampling for nonstationary signal in radar signal processing [PDF]
EURASIP Journal on Wireless Communications and Networking, 2013 Estimating the spectrogram of non-stationary signal relates to many important applications in radar signal processing. In recent years, coprime sampling and array attract attention for their potential of sparse sensing with derivative to estimate autocorrelation coefficients with all lags, which could in turn calculate the power spectrum density.
Wu, Qiong, Liang, Qilian
openaire +1 more source
Event-Based Sensing and Signal Processing in the Visual, Auditory, and Olfactory Domain: A Review
Frontiers in Neural Circuits, 2021 The nervous systems converts the physical quantities sensed by its primary receptors into trains of events that are then processed in the brain. The unmatched efficiency in information processing has long inspired engineers to seek brain-like approaches ...
Mohammad-Hassan Tayarani-Najaran +1 more
doaj +1 more source
Adaptive importance sampling in signal processing [PDF]
Digital Signal Processing, 2015 In Bayesian signal processing, all the information about the unknowns of interest is contained in their posterior distributions. The unknowns can be parameters of a model, or a model and its parameters. In many important problems, these distributions are impossible to obtain in analytical form.
Bugallo, Mónica F. +2 more
openaire +1 more source