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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 ...
Siheng Chen +2 more
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Rethinking sketching as sampling: A graph signal processing approach
Signal Processing, 2020 Submitted to Elsevier Signal ...
Fernando Gama +2 more
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Sampling and Uniqueness Sets in Graphon Signal Processing
IEEE Transactions on Signal ProcessingIn this work, we study the properties of sampling sets on families of large graphs by leveraging the theory of graphons and graph limits. To this end, we extend to graphon signals the notion of removable and uniqueness sets, which was developed originally for the analysis of signals on graphs.
Alejandro Ribeiro +1 more
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Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies
IEEE Transactions on Signal Processing, 2018 Submitted to IEEE Transactions on Signal Processing, September ...
Geert Leus +2 more
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Quadrature Demodulation Method for Resolver Signal Processing Under Different Sampling Rate
IEEE Access, 2022 Resolvers are widely used as position sensors to obtain angle information. The resolver requires the excitation signal and its amplitude is modulated by the rotor position.
Pooreum Jang +3 more
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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
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An Under-Sampling Array Signal Processing Method Based on Improved Hadamard Matrix
Applied Sciences, 2022 The compressive sensing method is an effective way of under-sampling array signal processing, and the measurement matrix is a key technology of compressive sensing processing, which is of decisive significance to improve the performance of under-sampling
Tongjing Sun +4 more
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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
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Highlighting Problems Occurring in Analysis of Critical Sampling of Cosinusoidal Signal [PDF]
TransNav, 2020 When the sampling of an analog signal uses the sampling rate equal to exactly twice the value of a maximal frequency occurring in the signal spectrum, it is called a critical one.
Andrzej Borys, Przemyslaw Korohoda
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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.
Qiong Wu 0006, Qilian Liang
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