Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/379159
Title: Performance evaluation of EEG signal for feature extraction and classification of BCI using comuational optimization techniques
Researcher: Sridhar, G. V.
Guide(s): Mallikarjuna Rao, P.
Keywords: Classification of BCI-Performance Evaluation-Using Computational Optimization Techniques.
EEG signal for feature extraction and classification of BCI-Performance Evaluation
EEG signal for feature extraction and classification of BCI-Performance Evaluation-Using Computational Optimization Techniques
Engineering
Engineering and Technology
Engineering Multidisciplinary
Feature Extraction-EEG Signal-Performance evaluation-computational optimisation methods
University: Andhra University
Completed Date: 2016
Abstract: None
Pagination: viii, 170p.
URI: http://hdl.handle.net/10603/379159
Appears in Departments:Department of Electronics & Communication Engineering

Files in This Item:
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01_title.pdfAttached File144.71 kBAdobe PDFView/Open
02_declaration.pdf4 kBAdobe PDFView/Open
03_certificate.pdf14.29 kBAdobe PDFView/Open
04_acknowledgement.pdf16.71 kBAdobe PDFView/Open
05_contents.pdf23.37 kBAdobe PDFView/Open
06_list of figures.pdf9.95 kBAdobe PDFView/Open
07_list of tables.pdf19.69 kBAdobe PDFView/Open
08_list of abbreviations.pdf6.53 kBAdobe PDFView/Open
09_abstract.pdf12.34 kBAdobe PDFView/Open
10_chapter 1.pdf138.26 kBAdobe PDFView/Open
11_chapter 2.pdf189.73 kBAdobe PDFView/Open
12_chapter 3.pdf226.62 kBAdobe PDFView/Open
13_chapter 4.pdf246.75 kBAdobe PDFView/Open
14_chapter 5.pdf310.5 kBAdobe PDFView/Open
15_chapter 6.pdf423.68 kBAdobe PDFView/Open
16_conclusions and future scope.pdf30.88 kBAdobe PDFView/Open
17_references.pdf137.42 kBAdobe PDFView/Open
80_recommendation.pdf174.44 kBAdobe PDFView/Open
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