facedetection

有关各种光纤光栅的matlab仿真代码，运行正确，可以看到图形(About a variety of fiber grating matlab simulation code, run right, you can see the graphics)

利用PSO优化SVM中的c和g c1:初始为1.5,pso参数局部搜索能力 c2:初始为1.7,pso参数全局搜索能力 maxgen:初始为200,最大进化数量 sizepop:初始为20,种群最大数量(Support Vector Machine Optimized by Particle Swarm Optimization )

研究用于自适应均衡器的LMS算法。研究步长的影响。分别画出W=2.9时，mu= 0.01、0.04和0.08情况下的MSE学习曲线(Research for the adaptive LMS algorithm equalizer. Research on the impact of the step. Draw W = 2.9, respectively, when, mu = MSE learning curve 0.01,0.04 and 0.08 in case of)

传统均衡器无法有效地同时对抗这两种信道衰落，而Turbo均衡技术作为一种联合信道均衡和信道译码的方法，能有效地对抗符号间干扰（ISI），提供迭代增益，提高接收机的整体性能。因此，本文根据下一代无线通信系统的设计要求，分别对单载波和OFDM系统的Turbo均衡算法进行了研究。 (Conventional equalizer can not effectively fight both at the same time fading, while the Turbo equalization as a joint channel equalization and channel decoding method is robust against inter-symbol interference (ISI), provides iteration gain, improved receiver overall performance. Therefore, this next-generation wireless communication system according to the design requirements, namely, the single carrier and OFDM systems Turbo equalization algorithm is studied.)

说明：  使用Matlab编写的计算传热学程序~实现流场的温度测定(Using the Matlab program written in Computational Heat Transfer ~ determination to achieve the temperature of the flow field)

Matlab source code for Bidirectional Associative Memory (BAM) neural network.

基于含噪语音统计特征的小波去噪算法分析与实现的matlab程序(Statistical features of noisy speech based on the wavelet denoising algorithm analysis and implementation of the matlab program)

关于VC++和MATLAB的混合编程之神经网络工具箱 (About VC++ and MATLAB mixed programming of the Neural Network Toolbox)

Welch法：Welch法对Bartlett法进行了两方面的修正：一是选择适当的窗函数w(n)，并在周期图计算前直接加进去，加窗的优点是无论什么样的窗函数均可使谱估计非负。二是在分段时,可使各段之间有重叠，这样会使方差减小。(Welch method: Welch method of Bartlett method amendments in two respects: First, select the appropriate window function w (n), and in the cycle before CALPHAD directly incorporated, plus the advantage of the window, no matter what kind of window function can be so spectral estimation of non-negative. Second, when in subparagraph can overlap between paragraphs, this would reduce the variance.)

methods of convex function optimization