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DC Field | Value | Language |
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dc.contributor.author | Jain, Ashok Kumar | - |
dc.date.accessioned | 2014-11-18T08:36:41Z | - |
dc.date.available | 2014-11-18T08:36:41Z | - |
dc.date.issued | 1973 | - |
dc.identifier | M.Tech | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/9071 | - |
dc.guide | Uttaradhi, G. K. | - |
dc.description.abstract | Pseudo-Random signals when applied to system-identification has got the advantage that it takes less time as compared to other methods. rn the dissertation Pseudo-Random signals have been used for the identification of linear time invariant, linear time invariant discrete and non-linear systems. The methods already known have been modified by using the input signals to be pseudo•-random.'A class of Pseudo. Random Signals • have been used for non-linear systems thus simplifying the mathematical manipulations and instrumental complexities. | en_US |
dc.language.iso | en | en_US |
dc.subject | ELECTRONICS AND COMPUTER ENGINEERING | en_US |
dc.subject | ELECTRONICS AND COMPUTER ENGINEERING | en_US |
dc.subject | ELECTRONICS AND COMPUTER ENGINEERING | en_US |
dc.subject | ELECTRONICS AND COMPUTER ENGINEERING | en_US |
dc.title | SYSTEM IDENTIFICATION USING PSEUDO-RANDOM SIGNALS | en_US |
dc.type | M.Tech Dessertation | en_US |
dc.accession.number | 107749 | en_US |
Appears in Collections: | MASTERS' THESES (E & C) |
Files in This Item:
File | Description | Size | Format | |
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ECD107749.pdf | 2.65 MB | Adobe PDF | View/Open |
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