In this thesis, a wavelet-based prediction method is developed for concealing packet-loss effects in wireless channels. The proposed method utilizes a wavelet decomposition algorithm in order to process the data and then applies the well known linear prediction technique to estimate one or more approximation coefficients as necessary at the lowest resolution level. The predicted sample stream is produced by using the predicted approximation coefficients and by exploiting certain sample value patterns in the detail coefficients. In order to test the effectiveness of the proposed scheme, a wireless channel based on a three-state Markov model is developed and simulated. Simulation results for transmission of image and speech packet streams over a wireless channel are reported for both the wavelet-based prediction and direct linear prediction. In all the simulations run in this work, the wavelet-based method outperformed the direct linear prediction method. / Hellenic Navy author.
Identifer | oai:union.ndltd.org:nps.edu/oai:calhoun.nps.edu:10945/2927 |
Date | 06 1900 |
Creators | Garantziotis, Anastasios |
Contributors | Tummala, Murali |
Publisher | Monterey California. Naval Postgraduate School |
Source Sets | Naval Postgraduate School |
Detected Language | English |
Type | Thesis |
Format | xvi, 91 p. : ill. ;, application/pdf |
Rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted. |
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