Results 31 to 40 of about 9,228 (164)
Compressed sensing trends in magnetic resonance imaging
The theory of Compressive Sensing (CS) has experienced a tremendous growth through continuous works of researchers from different cross platform domains of study.
Mrinmoy Sandilya, S.R. Nirmala
doaj +1 more source
Frequency Aliasing-Based Spatial-Wavenumber Filter for Online Damage Monitoring
The spatial-wavenumber filter method can extract the specific mode of the Lamb wave, thereby distinguishing the incident wave and the damage reflection wave. This method has been widely studied for damage imaging.
Bin Liu +3 more
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Uncertainty principle, Shannon-Nyquist sampling and beyond
Donoho and Stark have shown that a precise deterministic recovery of missing information contained in a time interval shorter than the time-frequency uncertainty limit is possible.
Fujikawa, Kazuo +3 more
core +1 more source
Channel Capacity under General Nonuniform Sampling [PDF]
This paper develops the fundamental capacity limits of a sampled analog channel under a sub-Nyquist sampling rate constraint. In particular, we derive the capacity of sampled analog channels over a general class of time-preserving sampling methods ...
Chen, Yuxin +2 more
core +1 more source
The present work proposes to locate harmonic frequencies that distort the fundamental voltage and current waves in electrical systems using the compressed sensing (CS) technique.
Luis Amaya, Esteban Inga
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‘Almost nonunique’ solutions to parameter estimation in periodic signals
Provided the Nyquist criterion is met, by the Nyquist–Shannon sampling theorem one can reconstruct the signal uniquely using the sampled data. In this work, by means of an algorithm that computes the amplitudes, frequencies and phases of a signal to ...
C. S. Jog
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Sampling and reconstruction of functions is a central tool in science. A key result is given by the sampling theorem for bandlimited functions attributed to Whittaker, Shannon, Nyquist, and Kotelnikov.
Pfander, Götz E.
core
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Design of discrete PI‐PR2 controllers for time‐delayed systems using dominant pole placement method
Abstract This paper presents a new controller structure known as the proportional‐integral proportional‐double‐retarded (PI‐PR2) designed for discrete‐time systems with time delay. The dominant pole placement technique, which is frequently encountered in control systems, is used as the primary design method. The design method starts that dominant poles
Ayşe Duman Mammadov +2 more
wiley +1 more source
Channel Capacity under Sub-Nyquist Nonuniform Sampling
This paper investigates the effect of sub-Nyquist sampling upon the capacity of an analog channel. The channel is assumed to be a linear time-invariant Gaussian channel, where perfect channel knowledge is available at both the transmitter and the ...
Chen, Yuxin +2 more
core +1 more source

