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 …

A new way to enhance speech signal based on compressed sensing

H Haneche, B Boudraa, A Ouahabi - Measurement, 2020 - Elsevier
We propose a novel speech enhancement approach based on compressed sensing. The
method performs noise subtraction in the measurement domain in addition to sparse …

ECG compressed sensing method with high compression ratio and dynamic model reconstruction

J Šaliga, I Andráš, P Dolinský, L Michaeli, O Kováč… - Measurement, 2021 - Elsevier
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 …

Non-uniform wavelet bandpass sampling Analog-to-Information Converter: a hardware implementation and its experimental assessment

L De Vito, G Iadarola, F Lamonaca, F Picariello… - Measurement, 2019 - Elsevier
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 …

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 …

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 …

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 …

[HTML][HTML] Analog-to-information conversion with random interval integration

J Šaliga, O Kováč, I Andráš - Sensors, 2021 - mdpi.com
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 …

[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 …

Compressive sensing approach to harmonics detection in the ship electrical network

B Palczynska, R Masnicki, J Mindykowski - Sensors, 2020 - mdpi.com
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 …