Description: Use the ksvdbox12 to construct sparse over-complete basis reflecting the characteristics of the training signals. Training signals used in the example are speech signals of two speakers.
To Search:
- [KalmanFilterProgram] - target tracking application context rada
- [weimin] - Read the speech signal (the wavread inst
- [HMM] - Speech recognition HMM will model tool,
- [1] - The same tune speech synthesis speed tra
- [dct_cs] - an example of using BP algorithm for sig
- [KSVD_Matlab_ToolBox] - KSVD original algorithm: Signal Sparse R
- [mean-K-KPCA] - Through the nuclear K-means clustering m
File list (Check if you may need any files):
ksvd_train_for_mix.m
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