hunlan_v15

vc++和matlab混合编程m文件的读取(VC++ and matlab)

The local binary pattern (LBP) is a simple yet very efficient operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, for example, by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP is also very flexible: it can be easily adapted to different types of problems and used together with other image descriptors

利用matlab处理图像，分别用高斯滤波，均值滤波和中值滤波，对同一个噪声图像处理及得到结果(Using matlab image processing, respectively, with a Gaussian filter, mean filter and median filter, image processing on the same noise and get results)

Automatically downloads financial data for given indices, represents the combined portfolio and optimizes the allocation.

现代信号处理书里面的仿真程序，初学者可以看看(Book of modern signal processing inside the simulation program, beginners can take a look)

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)

Shannon: A Mathematical Theory of Communication

This is a model of a QPSK modulation system for transmission over a bandpass channel with fc = 100 Hz and B = 30 Hz and AWGN at the receiver. SRRC fi lters with excess bandwidth α = 0.18 are employed. The receiver includes an NDA timing recovery loop followed by a DD phase recovery loop. (This is a model of a QPSK modulation system f or transmission over a bandpass channel with fc = 100 Hz and B = 30 Hz and AWGN at the receiver. SRRC)

在matlab上实现的卡尔曼滤波器仿真实验，代码全部注释过了，有利于学习卡尔曼滤波器的参考学习(Implemented in the Kalman filter matlab simulation code all over the comment, the Kalman filter is conducive to learning refer to learning)

16-QAM + fading + AWGN Rayleigh Fading Ampalitude without Phase Fading