contemporary-communication-system-

Face Recognition source code by matlab

一个非常优秀的维纳滤波去噪的改进算法的matlab实现。 代码内有详细注释。适合初学者。(An algorithm for wiener scalart. write by matlab.)

通过应用于小波变换到lena.jpg图像，简单实现图像压缩，实现一级压缩和二级压缩(Through applied wavelet transform to lena.jpg image, a simple image compression, compression and two compression to achieve a)

CODE FOR COMPUTATIONAL FRACTAL. YOU CAN USE IN MATLAB SOFTWARE.

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)

该模型描述的是zeta变换器。控制方式为电感电流控制。分析在一组参数下的非线性现象，画出相图，时域图，观察从周期一到周期二最后进入混沌状态(The model describes the zeta converter. Control mode for inductance current control. Analysis in a group of parameters of the nonlinear phenomenon, draw the phase diagram, time domain chart, observation from cycle to cycle a second finally into chaotic state )

Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement Usage ------- [logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])

我编写的两相机定标算法，利用matlab toolbox得到初始数据进行一步的标定和优化，其中调用了matlab toolbox里的显示函数和(I prepared two camera calibration algorithm, using matlab toolbox to obtain the initial data calibration and optimization step, which is called the matlab toolbox in the display functions and)

卷积神经网络的GPU实现。使用GPU计算来加速神经网络训练。(GPU convolution neural network implementation. Accelerate the training time)

关于天线设计和电磁波分析程序，实现多项电磁波分析功能 (program about antenna and electromagnetic waves，analysis many electromagnetic )