matlab-3

Specch Recognition system using MATLAB. It includes Viterbi Forwarding and backtracking Algorithm . First it includes Feature Extraction and then Feature Matching

ｍａｔｌａｂ内插还原算法的小例子，我给个例子,根据具体要求改一下就行了(matlab interpolation algorithm to restore a small example, let me give an example, according to the specific requirements to look on the list)

BCH(15,11,1)+交织编解码matlab代码(BCH (15,11,1) with interleaver matlab code )

book number one in control system (automatique)

结合30个案例详细介绍了matlab神经网络的原理及应用(Principle and application details matlab neural network combined with 30 cases)

使用matlab实现OFDM系统功能并仿真验证其功能 (Use matlab to realize the OFDM system simulation)

对确定的一个负反馈系统，进行稳定性判断、最小相位系统判断；求取零点、极点、放大系数；绘制阶跃响应图。(To determine a negative feedback system, judge, judge the stability of minimum phase system calculating the zeros, poles, amplifying coefficient drawing step response diagram.)

hierarchical Mesh Segmentation based on Fitting Primitives 配套源码(code for hierarchical Mesh Segmentation based on Fitting Primitives)

= lorentzfit （× ） lorentzfit 符合输入（× ）与罗伦兹功能的形式 “ （× ）= 1 / （（- 2）^ 2 + 3号） 输入 ：因变量值[ 是] （× ） × ：独立变量的值 输出功率 一：名单[ 1 2 3 ] 罗伦兹参数 示例 × = - 16:0.1:35 = 19.4 / （（- 7）^ 2 + 15.8）+ randn （大小（× ）/ 10 ） = lorentzfit （× ） 杰瑞德·威尔斯 11 / 15 / 11 杰瑞德威尔斯[ 点] [在] [ 点] 教育公爵(a = lorentzfit(y,x) LORENTZFIT fits the input Y(X) with a Lorentzian function of the form Y (X) = A1./((X- A2).^2+ A3) INPUTS Y : Dependent variable values [Y(X)] X : Independent variable values OUTPUT A : List of Lorentzian parameters [A1 A2 A3] EXAMPLE x =-16:0.1:35 y = 19.4./((x- 7).^2+ 15.8)+ randn(size(x))./10 a = lorentzfit(y,x) Jered R Wells 11/15/11 jered [dot] wells [at] duke [dot] edu)

CMA 盲均衡算法代码 采用QAM调制信号(CMA，blind equalizer with QAM)