CLPSO

the effect of position on the pzt4 transducer

Ising Model is described here in primary manner. The other versions are upcomming..

face_detected matlab 进行人脸检测 利用最大连通域(face_detected matlab )

计算Local outlier factor的matlab实现，附带有例子。(Local outlier factor calculation matlab realize, comes with examples.)

说明：  matlab与dsp之间进行udp通信的matlab程序，包含了自己的理解注释，可以实现简单的报文接收，并可以根据自己的需要进行实时的matlab报文数据处理解析。欢迎交流。(Matlab program for UDP communication between MATLAB and DSP contains its own understanding notes, which can realize simple message receiving and real-time matlab message data processing and analysis according to their own needs.)

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.)

Orthogonal Frequency Division Multiplexing bit error rate Measurement.

用于进行图像类别识别的程序。根据初步的的区域分割结果，对图像之间的区域进行匹配。 (For image category recognition program. According to the initial region segmentation results, the region between the two images match.)

Probability distribution function of standard distribution codes for communication engineering students to understand the concept of statistical analysis.

Dsp Course lec 9 DSP course