CPPPPrimer

golden search!golden search!golden search!

说明：  太阳能发电系统仿真模型，供大家参考学习和使用。(soalr energy system simulation)

求的积分图后，haar特征（3,1）（1 2）模板的特征值计算，可由此推得其他模板的代码(Seek the integral image, the haar characteristics (3,1)（1 2） template eigenvalue calculation, which push the other template code )

基于C++和Matlab的图像分割和清晰度评价函数。采用图像信息熵来作为清晰度评价函数。(C++ and Matlab-based image segmentation and definition evaluation function. Using image information entropy as the sharpness function.)

基于Matlab 换热器的最优化设计的matlab源程序。。(Matlab-based heat exchanger optimization design)

Asignacion polos con menu y con codigos fuentes

Viola-Jones in Matlab 2010b for face detection

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

另一类信道自适应线性均衡源码，调试通过，感兴趣的来。(another channel adaptive equalization source code, debugging through, interested to.)

this code in matlab for applying active shape models and active appearance models to detect the features of hand