MixtureOFGaussians

计算Mel倒谱系数的matlab程序： MELCEPST Calculate the mel cepstrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH) 使用: c=melcepst(s,fs) ％ calculate mel cepstrum with 12 coefs, 256 sample frames(Mel cepstrum coefficients calculated the matlab procedure: MELCEPST Calculate the mel cepstrum of a signal C = (S, FS, W, NC, P, N, INC, FL, FH) using: c = melcepst (s, fs) calculate mel cepstrum with 12 coefs, 256 sample frames)

压缩传感技术是近年来研究的热点，里面含有迄今为止的各种有关压缩传感的算法，都为MATLAB编写(COMPRESSIVE SENSING)

用卡尔曼滤波对含有噪声的直流信号进行滤波，程序用matlab编写(Kalman filter with a DC signal with noise filtering, the program written by matlab)

matlab图像处理源代码 大家多多分享(matlab Image processing source code )

说明：  此程序用于仿真无线通信中的多径信道，信号经过此信道后产生延时和衰减，得到一个多径信号(The programme is to simulate multipath channel in the wireless communication)

说明：  实现磁盘级文件读写，穿透还原。实现磁盘级文件读写，穿透还原。(Achieve disk-level file reading and writing, through reduction. Achieve disk-level file reading and writing, through reduction.)

卡尔曼滤波算法 包括数据、程序 已经打包(Kakman filter)

this file is about risk managment in marketing....

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)

数学建模清华数模讲义\model6b (Mathematical modeling Qinghua digital-analog handouts model6b)