mri

对实时视频数据做二值化处理，实现目标分离跟踪检测，实现计数。通过对目标特征点连续多帧跟踪，利用最小二乘法实现测速。(traffic 凑难听)

利用k-means方法对图像进行分类（matlab程序和c++程序），如对遥感图像分辨出河流、树木等，需要自己定义所处理图片位置，还有将分类的图片进行彩色区分(The use of k-means method for image classification (matlab program and c++ program), such as remote sensing images to distinguish rivers, trees, etc., need to define the position of the processed images, as well as the classification of images in color to distinguis)

matlab for for f5 seganography

分段异常信号实验，几个不同频率的信号叠加用HHT方法进行分解，是我做实验用的信号，验证无误，(Abnormal signal sub-experiment, several different frequency signal superimposed with the HHT method of decomposition, I did experiment with the signal, verify the correct)

Ofdm based cognitive radio networks

差分空时编码，解码译码都有，无信道，含新版本matlab缺少的旧版函数dmodce(Differential space-time encoding, decoding decoding has no channel)

产生一均匀分布的白噪声信产生均匀分布的白噪信号，使均值为0，功率为p号u(n),画出其波形，并检验其分布情况，产生零均值功率0.1且服从高斯分布的白噪声，sinc信号，chirp信号，线性卷积(Generate uniformly distributed one letter of the white noise generated uniformly distributed white noise signal, so that the mean is 0, the power for the p number u (n), draw their waveforms, and test its distribution, resulting in zero average power of 0.1 and subject to Gaussian distribution of white noise, sinc signals, chirp signals, the linear convolution)

PIECE-WISE LINEAR APPROXIMATIONS

生成一个规则LDPC码的教研矩阵H，其行数(越大越好)为列数的一半，行重为6，列重为3，任意两行没有围长为4的圈 使用方法：H=HGrandom2(m,n)。m表示行数，n表示列数(rules of a generation of research LDPC matrix H, its (larger the better) half of the series, re-6, series of three, two arbitrary line is not girth of the ring used four methods : H = HGrandom2 (m, n). Said a few m, n Columns)

Anfis-Fuzzy Logis-Adaptive Neuro-Fuzzy Inference System