gingbun_v55

指纹识别MATLAB程序 绝对原创 指纹识别MATLAB程序 绝对原创(MATLAB procedures fingerprint fingerprint absolutely original absolute original MATLAB program)

对人脸变形的纠正程序,程序是用matlab编的,希望能给大家带来点帮助.(Correction of facial deformation process, the program is compiled with matlab, and I hope we can bring some help.)

说明：  《MATLAB实用教程》用到的部分程序，比较全的。(&quot MATLAB Practical Guide&quot Part of the procedure used to compare the sound.)

Gridding is a method of interpolating data from an arbitrary 2D sampling pattern to a uniform grid. In MRI, this allows rapid image reconstruction. There are numerous publications on MR gridding reconstruction. The tar file includes numerous .m scripts, and C code that can be compiled to a .mex function. You will need to compile the MEX functions - in Matlab try "mex gridlut_mex.c" and "mex calcdcflut_mex.c" These should result in files gridlut_mex.mex??? and calcdcflut_mex.mex??? where ??? depends on your operating system. Run the function spiralexample.m in Matlab. (Gridding is a method of interpolating data from an arbitrary 2D sampling pattern to a uniform grid. In MRI, this allows rapid image reconstruction. There are numerous publications on MR gridding reconstruction. The tar file includes numerous .m scripts, and C code that can be compiled to a .mex function. You will need to compile the MEX functions- in Matlab try "mex gridlut_mex.c" and "mex calcdcflut_mex.c" These should result in files gridlut_mex.mex??? and calcdcflut_mex.mex??? where ??? depends on your operating system. Run the function spiralexample.m in Matlab. )

Pattern recognition tool in matlab.

TS算法求解TSP问题,里面包含样本数据，算法收敛较好，优化结果比较理想！(tabu search for TSP)

采用fastica算法的盲源分离，对于线性混合的信号，分离效果很好(By fastica blind source separation algorithm)

Image Demosaicing by nearest-neighbor interpolation method

此程序是在假设已知波达角的情况下进行仿真验证的实验，零陷music波速成形。(This procedure is known in the hypothetical case of DOA conducted simulation experiments, velocity forming nulls music.)

此程序用于返回图象变换前后的信噪比,只需简单输入图象名,即可返回结果(This procedure for the return of the signal to noise ratio images before and after transformation, you simply enter the image name, to return to the results of)