for-independent-final-report

线性插值工具，能够很好的解决插值问题的matlab源程序 (Linear interpolation tool that can solve the problem of interpolation matlab source)

差分演化模板程序,matlab函数优化。(Differential evolution template program, matlab function optimization.)

此代码的主要功能是计算纹理图像的表面粗糙度(The main function of this code is to calculate the surface roughness of texture images)

实现了彩色图像上的DCT变换和DCT反变换(Color image on the realization of the DCT transform and inverse transform DCT)

Matlab有关于天线结构设计的源代码分析，适用于RF的天线设计工程师(Matlab about the antenna structure design source code analysis for RF antenna design engineer)

红外目标识别代码，可用于红外目标识别。在军事等领域具有广泛应用(Infrared target identification code can be used to target recognition. In the military wide range of applications)

Normalized Least mean square algorithm in matlab

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)

数字图像处理与机器视觉-visual C++与matlab实现,第9章配套源程序(Digital image processing and machine vision of-visual C++ and MATLAB, the 9th chapter matching source)

PV MODEL USEFUL FOR MATLAB SIMULATION