scholarly journals Comparison of Matching Pursuit Algorithm with Other Signal Processing Techniques for Computation of the Time-Frequency Power Spectrum of Brain Signals

2016 ◽  
Vol 36 (12) ◽  
pp. 3399-3408 ◽  
Author(s):  
S. Chandran KS ◽  
A. Mishra ◽  
V. Shirhatti ◽  
S. Ray
Keyword(s):  
Signal Processing ◽  
Power Spectrum ◽  
Matching Pursuit ◽  
Time Frequency ◽  
Brain Signals ◽  
Matching Pursuit Algorithm ◽  
Processing Techniques ◽  
Frequency Power Spectrum ◽  
Signal Processing Techniques ◽  
Frequency Power

A DIFFERENCE OF TIME-FREQUENCY POWER SPECTRUM DURING QRS IN Q FROM NON-Q WAVE MYOCARDIAL INFARCTION

2005 ◽  
Author(s):  
NAOKO ZENDA ◽  
TAKESHI TSUTSUMI ◽  
DAISUKE WAKATSUKI ◽  
FUMIKO YANAGISAWA ◽  
HISA SHIMOJIMA ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Power Spectrum ◽  
Time Frequency ◽  
Frequency Power Spectrum ◽  
Frequency Power ◽  
Q Wave

Network anomaly detection based on signal processing techniques

2013 ◽  
Vol 18 (1) ◽  
pp. 15-21
Author(s):  
Tomasz Andrysiak ◽  
Łukasz Saganowski ◽  
Mirosław Maszewski
Keyword(s):  
Signal Processing ◽  
Anomaly Detection ◽  
Network Traffic ◽  
Detection Method ◽  
Matching Pursuit ◽  
Matching Pursuit Decomposition ◽  
Network Anomaly Detection ◽  
Processing Techniques ◽  
Signal Processing Techniques

Abstract The article depicts possibility of using Matching Pursuit decomposition in order to recognize unspecified hazards in network traffic. Furthermore, the work aims to present feasible enhancements to the anomaly detection method, as well as their efficiency on the basis of a wide collection of pattern test traces.

scholarly journals Hyperbolic kernel for time-frequency power spectrum

2003 ◽  
Vol 42 (8) ◽  
pp. 2400 ◽  
Author(s):  
Khoa N. Le ◽  
Kishor P. Dabke ◽  
Gregory K. Egan
Keyword(s):  
Power Spectrum ◽  
Time Frequency ◽  
Frequency Power Spectrum ◽  
Frequency Power

scholarly journals Cutting-edge Mathematical Tools in Processing and Analysis of Signals in Marine and Navy

2012 ◽  
Vol 1 (1) ◽  
pp. 35-46 ◽  
Author(s):  
Igor Vujović ◽  
Joško Šoda ◽  
Ivica Kuzmanić
Keyword(s):  
Decision Making ◽  
Signal Processing ◽  
Fourier Transform ◽  
Video Stream ◽  
Information Gathering ◽  
Pivotal Role ◽  
Surveillance Video ◽  
Time Frequency ◽  
Processing Techniques ◽  
Signal Processing Techniques

Signal processing plays a pivotal role in information gathering and decision making. This paper presents and compares different signal processing techniques used in marine and navy applications, primarily based on using wavelets as kernel. The article covers Fourier transform, time frequency wavelet based techniques such as bandelets, contourlets, curvelets, edgelets, wedgelets, shapelets, and ridgelets. In the example section of the paper, several transform techniques are presented and commented on the harbour surveillance video stream example.

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