FDTD-UPML

Describe Describe Describe Describe Describe Describe Describe Describe Describe Describe

BER performance of RCPC codes over Reilaygh fading

join contourlet RGB..

用matlab编程进行计算lyapunov指数的程序源码 (using Matlab programming lyapunov index calculation procedures FOSS)

正交信号校正法主要用于近红外光谱矩阵的预处理。其原理是将光谱阵与全氮含量阵正交,滤除光谱与因变量Y阵无关的信号,再建立定量校正模型,达到简化模型及提高模型预测能力的目的。(Orthogonal Signal Correction(OSC) removes variance in the X-block which is orthogonal to the Y-block. Such variance is identified as some number of factors (described as components) of the X-block which have been made orthogonal to the Y-block. When applying this preprocessing to new data, the same directions are removed from the new data prior to applying the model.)

该Matlab程序给出了Schmidt-Kalman filter和标准Kalman filter之间的性能对比，不是函数的形式，是直接的可执行程序，如有需要，直接更改文件中的参数就可以了(The Matlab program gives the Schmidt-Kalman filter and standards of performance comparison between the Kalman filter is not a function of the form is directly executable program, if necessary, change the file directly to the parameters can be a)

在matlab6.5下完成的直流电机闭环调速(Matlab6.5 completed in under the closed-loop DC motor speed control)

说明：  第6章 无约束一维极值问题 所在章节 函数名 功 能 6.1 minJT 用进退法求解一维函数的极值区间 6.2 minHJ 用黄金分割法求解一维函数的极值 6.3 minFBNQ 用斐波那契法求解一维函数的极值 6.4 minNewton 用牛顿法求解一维函数的极值 6.5 minGX 用割线法求解一维函数的极值 6.6 minPWX 用抛物线法求解一维函数的极值 6.7 minTri 用三次插值法求解一维函数的极值 6.8.1 minGS 用Goldstein法求解一维函数的极值 6.8.2 minWP 用Wolfe-Powell法求解一维函数的极值 (Chapter 6 unconstrained extremum problem one-dimensional sections of the functional 6.1 minJT function method for solving one-dimensional with the advance and retreat of the extreme range of 6.2 minHJ function of the golden section method using one-dimensional function of the extreme 6.3 minFBNQ use Fibonacci method one-dimensional function of the extreme 6.4 minNewton Newton method with one-dimensional function with extreme 6.5 minGX one-dimensional secant method to solve the extreme 6.6 minPWX function method for solving one-dimensional parabolic function of the extreme 6.7 minTri method with cubic interpolation one-dimensional function of the extreme 6.8.1 minGS Goldstein method with one-dimensional function of the extreme 6.8.2 minWP Wolfe-Powell method with a one-dimensional extreme value function)

KSVD原始算法：信号稀疏表示中的过完备字典的学习算法(KSVD original algorithm: Signal Sparse Representation of the learning algorithm over-complete dictionary)

RANSAC Use RANdom SAmple Consensus to fit a line