Image denoising using a compressive sensing approach based on regularization constraints
AE Mahdaoui, A Ouahabi, MS Moulay - Sensors, 2022 - mdpi.com
In remote sensing applications and medical imaging, one of the key points is the acquisition,
real-time preprocessing and storage of information. Due to the large amount of information …
real-time preprocessing and storage of information. Due to the large amount of information …
A new way to enhance speech signal based on compressed sensing
We propose a novel speech enhancement approach based on compressed sensing. The
method performs noise subtraction in the measurement domain in addition to sparse …
method performs noise subtraction in the measurement domain in addition to sparse …
ECG compressed sensing method with high compression ratio and dynamic model reconstruction
This paper introduces an alternative method for compressed sensing and reconstruction of
ECG that is patient agnostic and offers a high compression ratio. The high compression ratio …
ECG that is patient agnostic and offers a high compression ratio. The high compression ratio …
Non-uniform wavelet bandpass sampling Analog-to-Information Converter: a hardware implementation and its experimental assessment
The paper presents the experimental assessment of an architecture of Analog-to-Information
Converter (AIC), based on Non-Uniform Wavelet Bandpass Sampling (NUWBS), for use in …
Converter (AIC), based on Non-Uniform Wavelet Bandpass Sampling (NUWBS), for use in …
High sampling rate or high resolution in a sub-Nyquist sampling system
Y Zhao, H Wang, Y Zheng, Y Zhuang, N Zhou - Measurement, 2020 - Elsevier
A digital signal acquisition system consists of two steps: sampling and quantization.
Sampling maps a continuous signal to a digital signal, which then is quantized into a finite …
Sampling maps a continuous signal to a digital signal, which then is quantized into a finite …
Design and experimental research of precession target micro-Doppler measurement using pulse signal in anechoic chamber
X Liu, F Zhao, Z Xu, X Ai, S Xiao - Measurement, 2021 - Elsevier
Target characteristics can be obtained in anechoic chamber by the traditional static
measurement. As the dynamic characteristic of precession target becomes more and more …
measurement. As the dynamic characteristic of precession target becomes more and more …
An Enhanced Photonic-Assisted Sampling Approach for Spectrum-Sparse Signal by Compressed Sensing
F Lyu, F Li, X Fang, N Zhang, X Ma - IEEE Access, 2022 - ieeexplore.ieee.org
Spectrum-sparse signals are vital for wideband radar and wireless communication
applications. A high-speed analog-to-digital converter (ADC) with the capacities of tens of …
applications. A high-speed analog-to-digital converter (ADC) with the capacities of tens of …
[HTML][HTML] Analog-to-information conversion with random interval integration
A novel method of analog-to-information conversion—the random interval integration—is
proposed and studied in this paper. This method is intended primarily for compressed …
proposed and studied in this paper. This method is intended primarily for compressed …
[PDF][PDF] Sparse signal acquisition via compressed sensing and principal component analysis
I Andráš, P Dolinský, L Michaeli, J Šaliga - Measurement Science …, 2018 - sciendo.com
This paper presents a way of acquiring a sparse signal by taking only a limited number of
samples; sampling and compression are performed in one step by the analog to information …
samples; sampling and compression are performed in one step by the analog to information …
Compressive sensing approach to harmonics detection in the ship electrical network
The contribution of this paper is to show the opportunities for using the compressive sensing
(CS) technique for detecting harmonics in a frequency sparse signal. The signal in a ship's …
(CS) technique for detecting harmonics in a frequency sparse signal. The signal in a ship's …