Application of Prediction-based Lower Triangular Transform in Speech Coding
碩士 === 國立交通大學 === 電機與控制工程系 === 88 === In this thesis, we proposed a transform coding method for speech coding,that is using a new nonunitary transform named Prediction-based Lower triangular Transform(PLT)\cite{PLT} to speech coding. It is like the Kahurene-Loeve Tra...
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2000
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| Online Access: | http://ndltd.ncl.edu.tw/handle/35790423796777641343 |
| Summary: | 碩士 === 國立交通大學 === 電機與控制工程系 === 88 === In this thesis, we proposed a transform coding method for speech
coding,that is using a new nonunitary transform named
Prediction-based Lower triangular Transform(PLT)\cite{PLT} to
speech coding. It is like the Kahurene-Loeve Transform(KLT) that
they has the same decorrelation property. But PLT''s
implementational cost is less than one half of KLT. The PLT can be
factorized into simple building blocks. We implement PLT by using
the minimum noise structure that makes the coding gain of PLT is
the same as KLT''s. The minimum noise structure has the following
properties. (i)Its noise gain is unity. (ii)Structurally PR
implementation. (iii)It can be apply for lossy or lossless
compression. Performance of this transform coding method will be
test by some speech data and compare with other compression ways.
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