Using multilevel call matrices in large software projects
F Van Ham - … on Information Visualization 2003 (IEEE Cat. No …, 2003 - ieeexplore.ieee.org
Traditionally, node link diagrams are the prime choice when it comes to visualizing software
architectures. However, node link diagrams often fall short when used to visualize large …
architectures. However, node link diagrams often fall short when used to visualize large …
ECG signal compression using compressive sensing and wavelet transform
Compressed Sensing (CS) is a novel approach of reconstructing a sparse signal much
below the significant Nyquist rate of sampling. Due to the fact that ECG signals can be well …
below the significant Nyquist rate of sampling. Due to the fact that ECG signals can be well …
[PDF][PDF] Comparative analysis of wavelet basis functions for ECG signal compression through compressive sensing
Compressed Sensing (CS) is a novel approach of reconstructing a sparse signal much
below the significant Nyquist rate of sampling. Due to the fact that ECG signals can be well …
below the significant Nyquist rate of sampling. Due to the fact that ECG signals can be well …
[HTML][HTML] Implementation of compressed sensing in telecardiology sensor networks
EC Pinheiro, OA Postolache… - International journal of …, 2010 - ncbi.nlm.nih.gov
Mobile solutions for patient cardiac monitoring are viewed with growing interest, and
improvements on current implementations are frequently reported, with wireless, and in …
improvements on current implementations are frequently reported, with wireless, and in …
Selecting the most favorable wavelet for compressing ECG signals using compressive sensing approach
A Mishra, FN Thakkar, C Modi… - … Systems and Network …, 2012 - ieeexplore.ieee.org
Compressed Sensing (CS) is a novel approach of reconstructing a sparse signal much
below the significant Nyquist rate of sampling. Due to the fact that ECG signals can be well …
below the significant Nyquist rate of sampling. Due to the fact that ECG signals can be well …
Robust reconstruction of compressively sensed ECG signals
This paper presents a robust reconstruction technique of electrocardiograph (ECG) signals
in a compressed sensing based acquisition system, using custom complete and …
in a compressed sensing based acquisition system, using custom complete and …
Implementation of compressed sensing in telecardiology sensor networks
E Correia Pinheiro, OA Postolache… - … of Telemedicine and …, 2010 - Wiley Online Library
Mobile solutions for patient cardiac monitoring are viewed with growing interest, and
improvements on current implementations are frequently reported, with wireless, and in …
improvements on current implementations are frequently reported, with wireless, and in …
Electrocardiogram Signal De-noising and Reconstruction Based on Compressed Sensing
J Sun - … , Signal Processing, and Systems: Proceedings of the …, 2018 - Springer
The electrocardiogram signal consists in a character of smaller amplitude together with a
larger interference range and the reconstructed signal, according to the classical …
larger interference range and the reconstructed signal, according to the classical …
[PDF][PDF] Evaluation of Compressed Sensing Impact in Cardiac Signals Processing and Transmission
A time signal x, a vector composed of N samples, is K-sparse or compressible in a basis Ψ,
represented by an N x N matrix in which each column is a basis vector ψi, if x can be well …
represented by an N x N matrix in which each column is a basis vector ψi, if x can be well …
[PDF][PDF] Selecting The Most Favorable Wavelet Basis Function for ECG Signal Compression using Compressive Sensing Approach
A Mishra, V Vidyanagar, FN Thakkar, V Vidyanagar… - academia.edu
Compressed Sensing (CS) is a novel approach of reconstructing a sparse signal much
below the significant Nyquist rate of sampling. Due to the fact that ECG signals can be well …
below the significant Nyquist rate of sampling. Due to the fact that ECG signals can be well …