GPS2

边缘检测的好程序，Matlab code(edge detection and image segmentation)

solve the Beatttie-Bridgman Eos equation

雷达电离层污染校正分段多项式新算法，用于校正污染(radar psp-new)

本代码为matlab编写，编程实现信号经过QPSK调制后，再经过AWGN信道下，得到的误码率性能曲线，并且与理论上的误码率进行对比。(The matlab code is written in programming through the QPSK modulation signal, and then through the AWGN channel, the resulting bit error rate performance curve, and with the theoretical bit error rates were compared)

基于物体三维形貌测量的傅里叶变换测量轮廓术及相关精度的计算。(Based on object three-dimensional topography measurement of Fourier transform profilometry measurement and the calculation of the relative accuracy.)

盲信号分离算法的实现和应用 大家来看看，应该对大家有点用，不是很长，如果有需要还有别的来发(Blind Signal Separation Algorithm Implementation and Application of everyone to see, we should use a little, not very long. If there is a need to have something else to fat)

这是一个基于灰度相关进行影像匹配的小程序，基于matlab编写(This is a gray correlation based on the image matching small procedures, based on the preparation of Matlab)

课程设计，关于数字信号处理的课程设计，中南大学的(Curriculum design, course on the design of digital signal processing, Central South University)

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.)

someinduction machine progs progs to get used to it