Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/536544
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-01-03T06:36:27Z | - |
dc.date.available | 2024-01-03T06:36:27Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/536544 | - |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | self | |
dc.title | Denoising ECG Signals Based on Wavelet Transform Hybrid with Machine Learning Algorithms | |
dc.title.alternative | ||
dc.creator.researcher | S. Balasubramanian | |
dc.subject.keyword | Electronics and Communication Engineering | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Electrical and Electronic | |
dc.description.note | ||
dc.contributor.guide | Mahaveer Singh Naruka | |
dc.publisher.place | Lucknow | |
dc.publisher.university | Maharishi University of Information Technology | |
dc.publisher.institution | Department of Electronic and Communication Engineering | |
dc.date.registered | 2018 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Electronic and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1. title.pdf | Attached File | 296.03 kB | Adobe PDF | View/Open |
2_title_merged.pdf | 1.56 MB | Adobe PDF | View/Open | |
3. table of content.pdf | 208.67 kB | Adobe PDF | View/Open | |
4. abstract.pdf | 180.58 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 361.69 kB | Adobe PDF | View/Open | |
bala reference.pdf | 1.88 MB | Adobe PDF | View/Open | |
chaper 4.pdf | 1.37 MB | Adobe PDF | View/Open | |
chapter 1.pdf | 933.05 kB | Adobe PDF | View/Open | |
chapter 2.pdf | 662.12 kB | Adobe PDF | View/Open | |
chapter 3.pdf | 2 MB | Adobe PDF | View/Open | |
chapter 5.pdf | 366.96 kB | Adobe PDF | View/Open |
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