matlab_tool_box_spider

用matlab仿真随机信号的调制解调，并绘制调制信号、已调信号、解调信号、输出信号的频谱、功率谱密度，自相关函数(Matlab simulation of random signals with modulation and demodulation, and draw the modulation signal, modulated signal, the demodulated signal, the output signal spectrum, power spectral density, autocorrelation function)

用MATLAB语言实现有关基音检测算法，同时给出检测结果(MATLAB language of the pitch detection algorithm, and gives results)

Two dimensional FDTD with UPML + TFSF

此为matlab详尽学习资料第十章“高级数值计算”(This is a detailed matlab learning materials Chapter 10, " Advanced numerical computing" )

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现svm压缩图像，matlab语言(Using GUI of MATLAB to design interface graphics with input and output functions, realizing the visibility of isometric line is very strong, the data and graphics written independently by oneself are very worthwhile to learn, realizing SVM compressed image, MATLAB language)

大名鼎鼎赫蒙.西金的经典著作《自适应信号处理》（第4版）对应的仿真实验程序和课后习题详细解答。适合研究生学习或工程技术人员参考！(Famous Hmong. Xijir classic " Adaptive Signal Processing" (4th edition) the corresponding simulation procedures and after-school exercise in detail. Suitable post-graduate study or engineering and technical personnel reference!)

使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶斯模式识别。识别率为95以上，可以作为模式识别的重要案例。(Gaussian model using the University of Wisconsin School of Medicine conducted a long-term breast cancer data Bayesian pattern recognition. Recognition rate is above 95 can be regarded as an important case of pattern recognition.)

当物体表现出最讯息时有最大的乱度。 当Entropy最大，影像有最大的讯息。(objects displayed at the most messages have the greatest degree of chaos. When the maximum entropy, images have the greatest message.)

极大似然估计法用于系统模型辨识，需要构造一个以观测数据和未知参数为自变量的似然函数。(Maximum likelihood estimation method for system model identification, the need to construct a likelihood function as independent variables to the observed data and the unknown parameters.)

说明：  通过对业务流的参数来实现mm1排队论的模拟仿真，最终统计出各种时间。(The parameters of the business flow through to achieve mm1 queuing theory simulation, the final statistics of all time.)