BER_simulation_with_matlab

一个带GUI的SVM MATLAB源码，程序内有英文说明，测试通过(SVM MATLAB source code with GUI, tested)

) Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree. () Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree. )

多输入BP神经网络的几个例子，主要包含函数拟合以及最小二乘法(matlab bp)

link matlab to visual studio

采用波束形成法，判断来波的方向，识别声源的位置(Using the beamforming method, to determine the direction of the wave, the position of the sound source identification)

H.S.Park, D-S.Kim, and W.H.Kwon "A Scheduling Method for Network-based Control Systems", IEEE Transaction on Control System Technology, Vol.10, No.3, pp. 318-330, May, 2002 (Simulation Example 1- Matlab Code) (HSPark, DS.Kim, and WHKwon A Scheduling Method for Network-based Control Systems , IEEE Transaction on Control System Technology, Vol.10, No.3, pp. 318-330, May, 2002 (Simulation Example 1- Matlab Code))

基于基追踪（basis pursuit）对信号进行稀疏表示的算法(signal decomposition by basis pursuit...)

PSO聚类算法使用的数据是我们归一化后的数据，利用该数据求总的粒子数m,设置聚类数c（c=4,这个可以确定的），随机选择聚类中心并赋值给各个粒子，随机产生粒子的速度；(PSO clustering algorithm using data owned by a data after the data requirements to the total number of particles in m, set the number of clusters c (c = 4, this can be determined), the random selection of cluster centers and assigned to the each particle velocity of the particles, randomly generated )

读网表程序，用于Matlab 控制Pspice(Read netlist procedures)

这是一个快速用于计算ARMA时间序列的模型识别和求出模型残差的函数的范例(This is a fast time series for calculating ARMA model identification and model residuals calculated example of a function)