SAR-polarization-filtering-methods-

用Maple和MATLAB解决科学计算问题，对于这两大数学工程软件的联合使用与学习有很大帮助(Scientific Computing with Maple and MATLAB to solve problems of great help for the joint use of these two mathematical engineering software and learning)

matlab的作图 很适合初学者 各种作图都有(matlab mapping is very suitable for beginners of various mapping has)

CACAL Calibration routine for computing the camera parameters using weighted least squares. The initial values are solved by using the DLT method and the final parameter values are obtained iteratively

matlab注水算法的代码，详细描述了注水算法的过程。(matlab water algorithm code, a detailed description of the process water algorithm.)

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)

说明：  《MATLAB时频分析技术》例题matlab编程实现第十四章其他例子(err)

一本详细介绍matlab/simulink的用法，通过详细的介绍，可以简单易懂的学会simulink(A detailed matlab/simulink usage, through detailed description, you can learn to understand simple simulink)

Space-phasor model of induction motor

用线性预测编码进行语音压缩 - Speech compression using Linear Predictive Coding(LPC is the oldest and the most basic of modern speech coders. Its a lossy scheme. Playback quality isn t preserved in the process but it can be used in low bit-rate systems.)

说明：  使用matlab环境的GUI工具仿真八段均衡器，可视化界面，频域响应分析。(A case study of 8-band Equlizer in matlab by GUI tool)