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LMS

于 2010-05-26 发布文件大小:1KB

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下载积分: 1 下载次数: 5

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LMS的源代码，希望对学习者有用！！！！(LMS source code, hope useful for learners! ! ! !)

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Newton
源码给出了非线性线性规划的牛顿法，代码包含函数文件，以及调用文件，下载即可运行！(Source given nonlinear Newton method for linear programming, the code contains the function file, and call the file, download to run!)

2010-10-25 13:51:29下载

积分：1
chaotic_1d
CHAOTIC MAP 1D AND 2D FOR MATLAB

2014-11-07 23:21:05下载

积分：1
bpsk
用matlab产生仿真BPSK信号，并对BPSK信号采用FFT进行频谱分析。(Simulation of BPSK signals generated by matlab, and BPSK signals using FFT spectral analysis.)

2011-04-25 17:29:47下载

积分：1
timing2
数字信号定时子程序，用于定时信号的最佳采样点。(Digital signal timing subroutine for the optimal sampling point timing signal.)

2013-12-09 16:41:46下载

积分：1
SolvePressureBearing
滑动轴承的雷诺方程求解与偏心率和承载能力的关系(solve the pressure of bearing)

2009-03-20 08:40:28下载

积分：1
mddm
多事例维度约简的matlab程序及其数据。(Many examples of dimension reduction matlab program and its data.)

2010-07-01 22:00:01下载

积分：1
rocplot
ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier

2009-12-14 20:49:44下载

积分：1
entropy-toolbox
entropy toolbox for matlab

2011-08-11 05:48:05下载

积分：1
Coordinate-conversion
坐标转换（四参数） [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end (Coordinate conversion： [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end )

2014-12-12 19:02:28下载

积分：1
Wound.Rotor.Induction.Generators
Wound Rotor Induction Generators (WRIGs):Design and Testing

2010-12-24 04:48:43下载

积分：1

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