GM_1_1

B样条曲线曲面的生成与显示，用matlab实现(B-spline curve and surface generation and display, using matlab implementation)

模拟2个独立窄带信号分别以20°，60°的方向入射到均匀线阵上，信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵元间距为入射信号波长的1／2，快拍数为200，信噪比为20dB，阵元数分别为10，50，100。 (Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA, among signal unrelated, independent noise, the noise is ideal Gaussian white noise, the array element spacing of the incident signal wavelength of 1/2, the number of snapshots 200, SNR is 20dB, the array element number 50, 100, respectively.)

实时处理声音降调 matlab源代码 短时傅里叶变换(Real-Time Speech Pitch Shifting)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.

AUTOMATIC BAUD RATE DETECTION FOR STANDARD BAUD RATES

matlab编写的m序列产生器以及通过simulink7.01仿真实现的两个模型，最后给出了相关系数的计算代码(m prepared matlab serial generator as well as through two simulink7.01 simulation model, the correlation coefficient is given for calculating the code)

说明：  语音系统的MATLAB仿真，实现断点见的K系数，语音能量与过零率的对比。(MATLAB simulation of voice systems, the realization of a breakpoint, see the K coefficient, voice, energy and zero-crossing rate of the contrast.)

蚁群算法，包括基本蚁群算法，排序蚁群算法，最大最小蚁群算法(Ant colony algorithm, including the basic ant colony algorithm, sorting ant algorithm, ant colony algorithm for the maximum and minimum)

matlab 云模型的源代码实现,是非常好的资料(It is based on the cloud caluate wih matlab computing)

一个很小手势识别工具. 这是我读Master的时候一个小作业. 我是用block FFT 来写的.70 -80 识别率.(A gesture recognition tool.It was a modle assigment, when I was doing my Master degree. I used block FFT. The recognition rate is round 70-80 )