Appendix1B_K_cross_validation

用matlab解决TSP旅行商问题，30个城市的路线优化问题(Matlab solving TSP traveling salesman problem)

[linqua n]matlab编的一个时钟界面 比较小([linqua n] Matlab a series of relatively small clock interface)

这是一本典型的matlab习题,很实用,他包含了matlab的大部分命令(This is a typical matlab exercises, it is practical, he includes most of the command matlab)

基于标准的粒子群算法编写了一个简单通用的matlab程序，求解函数最优值(matlab code of standard particle swarm optimization，best value)

图片中时钟时间识别的matlab GUI程序，程序不通用，个别图片可以。(A gui program of recognizing time is realized by Matlab in a picture.)

TDlte的技术原理 从运营商层面解析LTE(TDlte the technical principles)

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.)

QPSK-BPSK-ASK-FSK and MSK Modulations that will help in modulation issues. It is experimental for a College Project and it may needs some corrections. Thx for understanding.

Matlab ebook introduction with application

matlab在概率论中应用书籍，提供了30个例子，对概率论专业的学生有帮助(matlab，probability theory)