elman_app

Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p  N). We called the new subspace defined by basis vectors “face space”. First, all training faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.

说明：  matlab与vc的混合编程，有代码，有数据，有信息，很好的，欢迎大家下载(matlab and vc mixed programming, there is code, there are data, information, good, welcome to download)

Toolbox to read netcdf files on Matlab Install: javaaddpath([pwd /netcdfAll-4.2.jar ]) unzip( mexcdf.r4000.zip ) addpath ([pwd /mexcdf/mexnc ]) addpath ([pwd /mexcdf/snctools ])

An algorithm to find a sub array maximum.

基于gauss-legendre积分的MATLAB编码，精度非常高，计算速度非常快。高斯一勒让德求积公式(Gauss-Legendre qua-drature)一种高斯型求积公式.指积分区间[a,b一仁一1,1}，权函数二(x)三1时的高斯型求积公式，其节点是勒让德多项式(Based on gauss-legendre integration of MATLAB coding, the accuracy is very high, very fast)

迭代学习控制的matlab程序，m文件结合simulink实现。(Iterative Learning Control matlab program, m file with simulink realization.)

第一步是计算输人信号单边功率谱密度（ESD）。使用快 ％速傅里叶（FFr）算法将信号从时域转换到频域。因为FFr算法的输出是离散谱，而这 ％里我们需要的是连续谱，因此需要引人不同的比例因子来实现从离散谱到连续谱的转换。 ％在第二步中，我们利用迭代算法计算出相对于特定阂值的ESD的最高和最低频率，从而 ％估算出被检测信号所占用的带宽。这种算法同时适用于基带信号和已调制信号。最后， ％在第三步中，我们给出了输出图形的原代码。(The first step is calculating the input signal unilateral power spectral density (ESD). The use of fast Fourier speed (FFr) algorithm for the signal conversion from time domain to frequency domain. FFR algorithm because the output is a discrete spectrum, which we need is a continuous spectrum, so the need for food of different scale factor to achieve from the discrete spectrum to continuous spectrum conversion. In the second step, we use iterative algorithm to calculate a specific threshold in relation to the ESD of the highest and lowest frequency, thus estimated to be occupied by the signal detection bandwidth. This algorithm applies to both baseband signal and modulation signals. Finally, in the third step, we give the graphical output of the original code.)

基于增广矩阵束的L型阵列的二维波达角估计(Beam based on the augmented matrix of two-dimensional array of L-type directe of arrival estimation)

清华大学信号处理原理课程第一次实验，内容为产生固定波形以及声波的叠加(Signal processing theory, Tsinghua course first experiment, the content and the acoustic waveform to generate a fixed superposition)

Matlab进行再入式飞行器轨道建模与仿真，建立各种模型，最后获得飞行器的动力学模型，并调用龙格库塔函数求解该微分方程初值问题。(Matlab for reentry spacecraft orbit modeling and simulation, the establishment of various models, and finally obtain the dynamic model of the aircraft, and call the Runge-Kutta function of the initial value problem solving differential equations.)