Sliding

A very popular book on MATLAB

We monitor, analyze and manage the Parameter that qffr the QoS br voice trqffic in 802.11 Network. The manaA monitorys the Parameters, which determine the quality service, which also implement policies to maintain i service quality. There are many, tools providing the netwa monitoring and management. But they are meant individual Purposes like monitoring or management.

《MATLAB在时间序列分析中的应用》一书结合MATLAB仿真，讲述了时间序列分析的应用。(《MATLAB application in time series analysis》is a book with MATLAB simulation, about the application of time series analysis.)

计算加权加速度,单径或多径瑞利衰落信道仿真，Relief计算分类权重，详细画出了时域和频域的相关图，isodata 迭代自组织的数据分析，用MATLAB实现的压缩传感，包括最小二乘法、SVM、神经网络、1_k近邻法,仿真效果非常好。( Weighted acceleration, Single path or multipath Rayleigh fading channel simulation, Relief computing classification weight, Correlation diagram shown in detail the time domain and frequency domain, Isodata iterative self-organizing data analysis, Using MATLAB compressed sensing, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Simulation of the effect is very good.)

Gabor小波变换与PCA的人脸识别代码，基于K均值的PSO聚类算法,使用大量的有限元法求解偏微分方程。( Gabor wavelet transform and PCA face recognition code, K-means clustering algorithm based on the PSO, Using a large number of finite element method to solve partial differential equations.)

dspmatlab例子，供学习matlab者或需要程序者享用(dspmatlab examples for learning matlab procedure or the need to enjoy)

自编的图片旋转的函数，不是matlab原有的函数，而是根据原理自己写的(self picture rotation function, Matlab is not the original function, but on the basis of principles to write)

计算谐波信号的离散分数阶傅立叶变换，并求出使信号频谱聚集的最优阶数！(Calculated harmonic signal Discrete Fractional Fourier Transform, and the signal spectrum obtained optimal order together!)

二维多密度网格聚类算法，主要是完成二维数据的网格聚类，采用的是多密度临近的算法。(Two-dimensional density grid clustering algorithm)

这是一个PCA的练习题，即主成分分析，用于数据将维，将高维大数据降为低维数据。是一种高效率的数据处理方法。(This is a PCA exercises, namely principal component analysis for data-dimensional, high-dimensional data is reduced to a large low-dimensional data. Is a highly efficient method of data processing.)