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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 +3 more
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An Under-Sampling Array Signal Processing Method Based on Improved Hadamard Matrix [PDF]
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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Silicon photonics devices for integrated analog signal processing and sampling
Nanophotonics, 2014 Silicon photonics offers the possibility of a reduction in size weight and power for many optical systems, and could open up the ability to build optical systems with complexities that would otherwise be impossible to achieve.
Spector Steven, Sorace-Agaskar Cheryl
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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 ...
Paolo Di Lorenzo +4 more
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Non-Uniform Sampling in Statistical Signal Processing
, 2007 Non-uniform sampling comes natural in many applications, due to for example imperfect sensors, mismatched clocks or event-triggered phenomena. Examples can be found in automotive industry and data communication as well as medicine and astronomy. Yet, the literature on statistical signal processing to a large extent focuses on algorithms and analysis ...
Frida Eng
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Echo cancellation using sampled analog signal processing. [PDF]
, 1983 David Robertson
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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
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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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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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