DFT-SEQUENCES

该内容是关于fdtd的源码,我用过,ok!不错!()

基于MATLAB平台上，计算HU矩的算法编程。可以不用花时间去考虑怎么计算那些不变矩了。(MATLAB-based platform, the algorithm for calculating the moment HU programming. Can not take the time to consider how those calculated by moment invariants.)

ocr optical character recognition

matlab/simulink建的混合动力汽车起动机启动控制数学模型，可以控制启动机的开启与断开。(Matlab/Simulink to build hybrid car starter to start to control the mathematical model, start the machine can be controlled to open and disconnect.)

线性离散系统的分析与校正，程序注释清晰易懂，内容涵盖线性离散系统的全部内容(Linear discrete system analysis and correction program comments are clear and easy to understand, and covers the entire contents of the linear discrete system)

说明：  Brownian Motion, Option.

single RHS Gauss-Jordan routine for Linear Equation

在采样点之间的频率响应是由各采样点的加权内插函数叠加而形成的，因而有一定的逼近误差。该误差大小取决于理想频率响应的形状，理想频响特性变化越平缓，内插值越接近理想值，逼近误差越小；反之，如果采样点之间的理想频响特性变化越陡，则内插值与理想值之间的误差越大，因而在理想滤波器不连续点的两边，就会产生尖峰，而在通带和阻带就会产生波纹。用频率采样法设计的实际滤波器频率响应如图1所示。由图1可知，实际滤波器的阻带衰减取决于内插函数第一旁瓣幅度值的大小，其大小决定了所设计的滤波器的阻带性能。(Interpolation function superimposed between sampling points of the frequency response is weighted within each sampling point and the formation of, and thus have a certain degree of approximation error. The size of this error depends on the shape of the ideal frequency response and the ideal frequency response characteristic change is more gentle, interpolated and more close to the ideal value, the smaller the approximation errors Conversely, if the sampling point between the ideal frequency response characteristics of the steeper the change, and then the interpolated the larger the error between the ideal value, and thus in the ideal filter both sides of the discontinuity point, will produce spikes occurs ripple in the passband and stopband. Actual design frequency sampling filter frequency response is shown in Figure 1. Figure 1 shows, the actual filter stopband attenuation depending on the interpolation value of the size of the first side-lobe amplitude of the function that determin)

c est un ensemble de code du Matlab pour une segmentation de tous types d images avec différents outils

基于马氏距离时间序列分类Time-series-classification-master(Time-series-classification-master)