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The defense date of the thesis is 2006-08-16
The current date is 2019-07-18
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URN etd-0816106-102037 Statistics This thesis had been viewed 2373 times. Download 11 times. Author Yi-Zus Chen Author's Email Address No Public. Department Communication Engineering Year 2005 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 42 Title PARAMETER ADAPTATION ALGORITHMS FOR MPEG-4 AUDIO LOSSLESS CODING Keyword MPEG-4 ALS MPEG-4 ALS Abstract Audio Lossless Coding is a new extension of MPEG-4 audio coding family. In December 27 2005, NTT Corp. has announced that an audio lossless coding technology was approved as an MPEG international standard specification dubbed“MPEG-4 ALS”. Partners in this standardization work included the Technical University of Berlin (Germany), RealNetworks Corp. (USA), and I2R (Singapore). The new emerging standard MPEG-4 ALS (Audio Lossless Coding) introduces an efficient lossless coding that enables the perfect reconstruction of the original signal and the compression of digital audio data without any loss in quality.
In this thesis our ongoing work develops adaptive estimated algorithms for two open designed parameters (block length switching and prediction order adaptation) in MPEG-4 ALS. About the block length switching, we get four best block length models from eight variable block length switching models from the first test, and design a adaptive estimated algorithm which has 95.12% for selecting best block length. About the prediction order adaptation, we propose a adaptive estimated algorithm which has 85.83% for selecting forward 3 best prediction order compared to the algorithm of prediction order full search from the experiment results. Finally, we apply the two adaptive estimated algorithms (block length switching with prediction order adaptation) in MPEG-4 ALS. Our proposed method can reduce 1.42% - 2.35% average compression ratio compared to the method of prediction order 6 + fixed block length 1000 – 4000. However, the computation load is still high, further improvement is expected.
Advisor Committee Ching-Kuen Lee - advisor
none - co-chair
none - co-chair
Files Date of Defense 2006-07-28 Date of Submission 2006-08-16