国外分享的matlab调用c/c++应用程序

A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only the signature waveform and the timing of the desired user.(A new blind adaptive multiuser detection s cheme based on a hybrid of the Kalman filter and subs pace estimation is proposed. It is shown that th e detector can be expressed as an anchored signa l in the signal subspace and the coefficients ca n be estimated by the Kalman filter using only th e signature waveform and the timing of the desir ed user.)

绘制函数的等值线，数值优化书关于约束最优化中实例(Drawing the contours of the function, numerical optimization in the book examples of constrained optimization)

数字图像处理，dct频谱，低通滤波，高通滤波之后的图像。(Digital image processing, DCT spectrum, low pass filtering, high-pass filtering after the image.)

基于matlab的最优化算法，此文为最经典的powell算法，很好的程序，简洁，易懂(optimization algorithm, the article for the most classic powell algorithm, very good procedures, concise, understandable)

此文件包含跳频信号的生成和脉冲干扰信号的生成，可以结合二者产生跳频脉冲信号(This file contains the frequency hopping signal generation and pulse interference signal generation, you can combine the two to produce a frequency-hopping pulse signal)

matlab粗糙集程序 以上程序都在matlab2011a中调试通过(matlab rough set procedures above procedures are debugging through in matlab2011a)

此程序为模型预测控制算法中的动态矩阵控制算法，依据算法的控制思想，实现基本的控制。(This procedure is belong to the model predictive control. It is the DMC algorithm with real-time update module calculation, to complete the cycle simulation.)

基于多相结构的信道化接收机，sar图像去噪的几种新的方法，小波包分析提取振动信号中的特征频率。( Channelized receiver based on multi-phase structure, Several new methods sar image denoising, Wavelet packet analysis to extract vibration signal characteristic frequency.)

FBMC-OQAM频域实现的简单例程，使用PHYDYAS原型滤波器，供大家参考(ultraeasy implementation of FBMC-OQAM)

说明：  SVR的一些例子,对初学者来说,非常有用,可以照着例子学,这样上手比较快(Some examples of SVR for beginners, very useful, you can follow example of science, this relatively fast start)