wavelet

整形规划-数值计算 Matlab 工具，可以用于科学计算，效果堪比 CPLEX(Plastic Planning- Matlab numerical tools can be used for scientific computing, the effect of rivals CPLEX)

Code source Of Automated Fingerprint Identification System

bi-unipolar.m 1. Data 2. mod 3. AWGN 4. demod 5. Detect

一本介绍如何进行差错控制编码实际仿真的书籍（包括所有配套的matlab仿真代码）(A book describes how to do an actual simulation for error control coding (including all supporting matlab simulation code))

Daubechies wavelet coefficients 4 to 8

说明：  GA的源程序,运行过,绝对可以,对于学习GA的人可以参考试用(GA source, run-off, can definitely learning GA can refer to the trial)

主要进行OFDM调制和解调，里面有IFFT和FFT部分，自己手动写的比较实用(Mainly for OFDM modulation and demodulation with IFFT and FFT, their practical manual)

用不同的函数求得阈值进行消噪，希望对大家有用(The threshold denoising obtained with the different functions the hope that useful)

The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217(The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217)

gaussian mixture model