DisplayFFTResult

很好的东西，关于用卡尔曼算法做对消算法的...(Good things Kalman algorithm cancellation algorithm ...)

说明：  线性代数及其应用 第4版 1-Linear Algebra and Its Applications 4ed.MIT Gilbert Strang(1-Linear Algebra and Its Applications 4ed.MIT Gilbert Strang)

利用扩展卡尔曼算法( EKF)对高动态直接扩频信号的载波相位和频率进行了估计,并利用载波辅助技术测量载波相位的变化值来 校正伪码延时环,减小多普勒频移对伪码延时的影响,得到了精确的延时估计值,提 高了伪码延时锁定环的动态跟踪性能.(The PN delay loop is adjusted through measuring the varied value of carrier phase with carrier aiding technology. The effect of Doppler shift on PN code delay is reduced through carrier aid- ing technology. The precise delay estimation is obtained. The dynamic tracking performance of the PN delay loop is improved.)

自己编写的求可达矩阵，层次划分 代码.使用时，替换已有矩阵，即可运算！ (I have written for reachability matrix, the level of classified code. Use, replace the existing matrix, computing can be!)

说明：  二维光子晶体弯曲波导的fdtd程序,matlab语言 ,TE波, PML边界条件,平面波光源(Two-dimensional photonic crystal waveguide bend the FDTD program, matlab language, TE wave, PML boundary conditions, plane wave light source)

利用abaqus二次开发平台，利用for语言编写的混凝土弹性本构(Use abaqus secondary development platform, the use of language for concrete elastic constitutive)

用于测试hadoop的mapreduce功能，功能与自带的wordcount程序大相径庭。(Use to test the mapreduce function of hadoop,this program was seem to the origin program.)

说明：  三维FDTD,matlal编程,mur边界条件,平面波光源(Three-dimensional FDTD, matlal programming, mur boundary conditions, plane wave light source)

％ SSOR预处理的共轭梯度法求解方程Ax=b ％ 输入参数说明 ％ A 正定矩阵[n*n] ％ b 右边向量 ％ omega SSOR预处理参数(0--2) ％ Times 迭代次数 ％ errtol 给定误差终止条件 ％ ％输出参数 ％ NewX 方程Ax=b的x近似解 ％ avgerr 求解的当前平均绝对误差( SSOR preconditioning conjugate gradient method for solving equations Ax = b the input parameter descriptions A positive definite matrix [n* n] b right side vector omega SSOR preconditioning parameters (0- 2) Times iterations errtol termination of a given error condition NewX output parameter equation Ax = b of x approximate solution to solve the current avgerr average absolute error)

采用动量梯度下降算法训练BP网络，采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络(Gradient descent algorithm using momentum BP network training, using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to facilitate the training of BP network)