Results 11 to 20 of about 9,228 (164)

Generalizations of the sampling theorem: Seven decades after Nyquist [PDF]

IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2001
The sampling theorem is one of the most basic and fascinating topics in engineering sciences. The most well-known form is Shannon's uniform-sampling theorem for bandlimited signals.
Vaidyanathan, P. P.
core   +4 more sources

Sampling Rate Optimization and Execution Time Analysis for Two-Degrees-of-Freedom Control Systems

Mathematics, 2022
The current journal paper proposes an end-to-end analysis for the numerical implementation of a two-degrees-of-freedom (2DOF) control structure, starting from the sampling rate selection mechanism via a quasi-optimal manner, along with the estimation of ...
Mircea Şuşcă, Vlad Mihaly, Dora Morar, Petru Dobra   +3 more
doaj   +1 more source

Sampling rate selection for multi‐loop cascade control systems in an optimal manner

IET Control Theory & Applications, 2023
This article proposes an optimization‐based approach to selecting the sampling periods for classes of linear time‐invariant (LTI) regulators in a cascaded multi‐rate control structure, to account for practical implementation on numeric systems.
Mircea Şuşcă, Vlad Mihaly, Petru Dobra   +2 more
doaj   +1 more source

Ultrasonic Thickness Measurement Method and System Implementation Based on Sampling Reconstruction and Phase Feature Extraction

Sensors, 2023
The existing ultrasonic thickness measurement systems require high sampling frequencies for echo signal acquisition, leading to complex circuit designs and high costs.
Wenqiang Gong, Xuanze Wang, Zhenyu Yang, Zhongsheng Zhai, Wei Feng, Da Liu   +5 more
doaj   +1 more source

RGB-Based Compressed Medical Imaging Using Sparsity Averaging Reweighted Analysis for Wireless Capsule Endoscopy Images

IEEE Access, 2021
Compressed medical imaging (CMI) is a medical image sampling process with several samples lower than the Nyquist-Shannon sampling theorem for efficient image sampling; therefore, speeds up the processing time of medical applications.
Rita Magdalena, Tariq Rahim, I Putu Agus Eka Pratama, Ledya Novamizanti, I Nyoman Apraz Ramatryana, Aamir Younas Raja, Soo Young Shin   +6 more
doaj   +1 more source

Compressive Sensing Based on Mesoscopic Chaos of Silicon Optomechanical Photonic Crystal

IEEE Photonics Journal, 2020
Compressive sensing (CS) is an effective technique that can compress and recover sparse signals below the Nyquist-Shannon sampling theorem restriction.
Pengfei Guo, Zehao Wang, Binglei Shi, Yang Deng, Jinping Zhang, Huan Yuan, Jiagui Wu   +6 more
doaj   +1 more source

New Methods for Control System Signal Sampling in Neural Networks of Power Facilities

IEEE Access, 2020
The authors of the paper emphasize that when the Nyquist-Shannon sampling theorem is used in practice, there arise several problems, which can be explained only through the use of new methodologies and mathematical models.
Konstantin Osintsev, Sergei Aliukov, Yuri Prikhodko   +2 more
doaj   +1 more source

Distortion-Rate Function of Sub-Nyquist Sampled Gaussian Sources [PDF]

, 2015
The amount of information lost in sub-Nyquist sampling of a continuous-time Gaussian stationary process is quantified. We consider a combined source coding and sub-Nyquist reconstruction problem in which the input to the encoder is a noisy sub-Nyquist ...
Eldar, Yonina C., Goldsmith, Andrea J., Kipnis, Alon, Weissman, Tsachy   +3 more
core   +1 more source

Phased Fractional Lower-Order Cyclic Moment Processed in Compressive Signal Processing

IEEE Access, 2019
In signal processing research, cyclostationarity and fractional lower-order statistics (FLOS) are two important solutions to non-stationary signals and non-Gaussian noises, respectively.
Tao Liu, Tianshuang Qiu, Fangxiao Jin, Stephanie Wilcox, Shengyang Luan   +4 more
doaj   +1 more source

Pattern synthesis of linear and ring arrays with minimum number of elements using FFT and Bessel transformation

Scientific Reports, 2022
In antenna engineering, to reduce the final cost of array design, it is often necessary to design an array with the minimum number of elements. So, proper selection of the number of array elements and the location of the elements are two important ...
Mahdi Boozari, Mohammad Khalaj-Amirhosseini   +1 more
doaj   +1 more source