test

读入一幅256*256图像，将它分成8*8pixel的若干块，对每块做DCT变换，保留Z型顺序的若干变换系数，进行IDCT重构图像，计算重构图像的信噪比(Reading a 256* 256 image, it will be divided into several blocks of 8*8 pixel, keep each optimal Z transformation of sequence number, IDCT transform coefficient calculation reconstruction image reconstruction images,and the signal-to-noise ratio)

利用Simulink对变电站电压无功综合模糊控制的仿真,(Using Simulink integrated substation voltage and reactive power fuzzy control simulation,)

粒子群改进算法，有助于学生学习,可以在此基础上改进(Improved particle swarm algorithm to help students to learn, you can improve on this basis)

語音信號是基於時間軸上的一維數位信號，在這裏主要是對語音信號進行頻域上的分析。在信號分析中，頻域往往包含了更多的資訊。對於頻域來說，大概有8種波形可以讓我們分析：矩形方波，鋸齒波，梯形波，臨界阻尼指數脈衝波形，三角波，餘旋波，余旋平方波，高斯波。對於各種波形，我們都可以用一種方法來分析，就是傅立葉變換：將時域的波形轉化到頻域來分析。(Voice signal is based on the timeline of one-dimensional digital signal, where mainly the speech signal in frequency domain analysis. In signal analysis, frequency domain often contains more information. For the frequency domain for about 8 allows us to analyze waveforms: rectangular square wave, sawtooth, trapezoidal wave, the critical damping index pulse, triangle wave, I spin wave, I spin square wave, Gaussian. For all waveforms, we can analyze in a way that is Fourier transform: the transformation of time domain waveform into the frequency domain to analyze)

说明：  针对煤矿井下巷道狭长，信号多径效应明显，接收信号强度（RSSI）测距算法受井下环境影响大，定位精度低的情况，提出了一种信标节点链式部署结构下的动态RSSI测距算法，该算法以信标节点间的距离和它们间测量到的RSSI值为参考，计算巷道内实际环境下的路径衰落指数，以提高RSSI测距算法对环境的适应性。(A dynamic RSSI location algorithm is proposed based on the beacon nodes chain deployment of tunnel Wireless Sensor Networks and the algorithm takes the distance and the corresponding RSSI between the adjacent beacon nodes into account to calculate the actual path loss parameter in the tunnel, thus improving the environmental adaptation of the location algorithm. )

SPAMS稀疏优化工具箱,采用VC++编写，面向MATLAB版本的。(This is the source code of the software SPAMS, which needs to be compiled before begin used.)

matlab的经典算法，包含了各种有用的算法程序，有益于初学者。(matlab classic algorithms, the algorithm contains a variety of useful procedures are conducive to beginners.)

《MATLAB程序设计》选修课大作业 运算 图形(MATLAB design)

This is a very helpful matlab complement for the implementation of neural networks, fuzzy systems, neuro fuzzy systems for control and classification form scratch, I found it very helpful as a strudent and a a researcher

show the results of using AF in cooperative communications