SVM-classifier

This book is intended for anyone trying to learn the fundamentals of computer programming. The chapters lead the reader through the various steps required for writing a program, introducing the MATLABr constructs in the process. MATLABr is used to teach programming because it has a simple programming environment. It has a low initial overhead which allows the novice programmer to begin programming immediately and allows the users to easily debug their programs. This is especially useful for people who have a “mental block” about computers. Although MATLABr is a high-level language and interactive environment that enables the user to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran, the author shows that it can also be used as a programming learning tool for novices. There are a number of exercises at the end of each chapter which should help the users become comfortable with the language.

PSTD算法的matlab代码 计算二维空间 大尺寸下优于FDTD算法，速度优势随维数平方增长(PSTD algorithm matlab code FDTD algorithm is superior to the large size of the two-dimensional space, the speed advantage of growth with the square of the number of dimensions)

毕业论文 基于LSB图像水印系统设计matlab实现(Graduation thesis matlab based on LSB image watermarking system design)

STBC_3x4 simulation for an example(STBC_3x4 simulation)

说明：  肌电信号的处理及MATLAB图形可视化。主要是在MATLAB平台实现的。(EMG signal processing and MATLAB graphics visualization, Mainly in the MATLAB platform to achieve.)

Convert geodetic coordinates to Earth-centered Earth-fixed (ECEF) coordinates(Convert [x y z] ECEF [m] vector to [lat lon alt] vector in [rad] and [m])

系统辨识理论及Matlab仿真刘金琨,沈晓蓉,赵龙程序源代码(System Identification Theory and Matlab simulation, Hangzhou, Shen Xiaorong, ZHAO source code)

Wavlet image transformation

MATLAB GUI教学视频6：下拉菜单Pop-Up Menu的基本用法(MATLAB GUI instruction video 6: drop-down menu Pop-Up Menu of the basic usage)

这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。 此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训 练符号的信道估计等通信模块 (This is a space-time block coding based on MIMO_OFDM Communication System Simulation. This system consists of QPSK modulation and demodulation, IFFT modulation, space-time coding and decoding, symbol-based training channel estimation training and other communication module)