搜索资源列表
LBG
- Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. The LBG algorithm is of iterative type and in each iteration a large set of v
CH3
- L3_1.m: 純量量化器的設計(程式) L3_2.m: 量化造成的假輪廓(程式) L3_3.m: 向量量化器之碼簿的產生(程式) L3_4.m: 利用LBG訓練三個不同大小與維度的碼簿並分別進行VQ(程式) gau.m: ML量化器設計中分母的計算式(函式) gau1.m: ML量化器設計中分子的計算式(函式) LBG.m: LBG訓練法(函式) quantize.m:高斯機率密度函數的非均勻量化(函式) VQ.m: 向量量化(函式) L3
VQ_LBG_newdistortion
- 语音编码中对LSF系数进行VQ处理，LBG方法生成VQ码书，且采用了新的失真测度-Speech Coding for VQ processing LSF coefficients, LBG method of VQ codebook generation, and adopted a new measure of distortion
VQ
- 用matlab实现基于LBG算法的向量量化编码-Matlab by LBG algorithm based on vector quantization coding
LBG
- it is for LBG IN SPEECH
59159000-Speaker-Recognition-Using-MATLAB
- speaker recognition.In 1980, Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. A VQ that is designed using this algorithm are r
LBG_VQ-master
- LBG-VQ c++ 和 matlab 程序代码(LBG-VQ, c++, and matlab program code)