Source identification using nonlinear signal processing

1996 ◽  
Vol 100 (4) ◽  
pp. 2576-2576
Author(s):  
Azizul H. Quazi
Keyword(s):  
Signal Processing ◽  
Source Identification ◽  
Nonlinear Signal Processing ◽  
Nonlinear Signal

scholarly journals Nonlinear Signal Processing Method Detects Emotional Changes Induced by Indian Classical Music

2019 ◽  
Vol 9 (1) ◽  
pp. 6200-6206
Keyword(s):  
Signal Processing ◽  
Classical Music ◽  
Recurrence Quantification Analysis ◽  
Nonlinear Signal Processing ◽  
Recurrence Quantification ◽  
Quantification Analysis ◽  
Indian Classical Music ◽  
Nonlinear Signal ◽  
Sad Music ◽  
The Brain

Music is one of the major activities that alters the emotional experience of a person. Musical processing in the brain is a complex process involving coordination between various areas of the brain. There are less number of studies that focus on analyzing brain responses due to music using modern signal processing techniques. This research aims to apply a nonlinear signal processing technique i.e. the Recurrence Quantification Analysis (RQA) technique to analyze the brain correlates of happy and sad music conditions while listening to happy and sad ragas of North Indian Classical Music (NICM). EEG signals from 20 different subjects are acquired while listening to excerpts of raga elaboration phases of NICM. Along with behavioural ratings, the signals were analyzed using the Recurrence Quantification Analysis technique. The results showed significant differences in the recurrence plot and recurrence parameters extracted from the frontal and frontotemporal regions in the right and left hemispheres of the brain. Therefore, from the results, it can be concluded that RQA parameters can detect emotional changes due to happy and sad music conditions.

scholarly journals Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances

2013 ◽  
Vol 30 (4) ◽  
pp. 40-50 ◽  
Author(s):  
Fernando Perez-Cruz ◽  
Steven Van Vaerenbergh ◽  
Juan Jose Murillo-Fuentes ◽  
Miguel Lazaro-Gredilla ◽  
Ignacio Santamaria
Keyword(s):  
Signal Processing ◽  
Gaussian Processes ◽  
Nonlinear Signal Processing ◽  
Recent Advances ◽  
Nonlinear Signal
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