rocket4

A 16F84A based timer for applications that need a timer.

trainig neural networks

this mfile is a code for simulation rice fading channels versus snr.

用MATLAB实现的各种图像压缩方法，有BTCODE，PYRAMID，DCTCOMPR，IMCOMPR等。(MATLAB various image compression method, BTCODE, PYRAMID. DCTCOMPR, IMCOMPR so.)

人脸图像的2级小波分解，用MATLAB实现。可得到人脸图像的二级小波分解图。使用时只需把图片名称改成自己所具有的即可(Face feature extraction)

This set of MATLAB tools consists of some functions that I have found useful for basic image processing and blob analysis. The functions have been tested for MATLAB Version 5.3.0.10183 (R11) on PCWIN. Many of the files must be run as MEX files (MEX files are sometimes much faster than M-files). These must be compiled before use by typing "mex filename.c" at the MATLAB command prompt where filename.c is the relevant filename. Ensure that you are in the correct directory (e.g. cd c:..KFtools) and that the KFtools directory is included in the MATLAB path. The last three letters of all of the functions that are implemented as MEX files are m-e-x e.g. getboundarymex.(MATLAB This set of tools consists of some fu nctions that I have found useful for basic image processing and blob analysis. The functions ha 've been tested for MATLAB version 5.3.0.10183 ( R11) on PCWIN. Many of the files must be run as MEX files (MEX files are sometimes much faster than M-files). These must be compiled before use by t yping "Files filename.c" at the MATLAB command pr filename.c ompt where is the relevant filename . Ensure that you are in the correct directory (e . g. cd c : .. KFtools) and that the directory is KFtools included in the MATLAB path. The last three lett ers of all of the functions that are implemented MEX files are as m-e-x e.g. getboundarymex.)

matlab motion estimation

gm(1,1)灰色预测模型，可以进行各种预测。短期的电力负荷预测尤其的好。也可以进行中长期的预测，但是效果没有短期的好。(gm (1,1) Grey forecasting model can predict all kinds. Short-term load forecasting particularly well. Can also make long-term forecast, but they were not short of good.)

To support wireless communication : MIMO

计算隐马尔可夫模型序列的最可能的状态路径(Hidden Markov model to calculate the most likely state sequence path)