engine-waveform-analysis

In point set analysis, it is useful to compare 2 sets of points by computing the distance between each possible point pair. For example, this is a required step in the ICP point set registration algorithm. MATLAB s built in function for computing the distance matrix is pdist2. This function does the same thing, but also returns an angle matrix, which is the angle defined by each possible point pair. The limitations of this function are that it only computes the Euclidean distance and it only works in 2D. This function is useful for excluding hypotheses that don t match distance and orientation constraints for object detection in computer vision.

本压缩包包括吸气式高超声速飞行器的纵向刚体仿真模型和弹性体仿真模型。利用s函数编写的simulink模块，然后用MATLAB画出二者的图像进行对比(Nonlinear Longitudinal Dynamical Model of an Air-Breathing)

说明：  描述非线性电路的分叉图，基于MATLAB的源程序(fencha)

闭环伺服系统传递函数和数学模型的研究，做电机伺服的可以看看 (closed-loop servo system transfer function and the mathematical model studies, servo motor can see)

本程序将时域数据转换为频域（功率谱密度），方便数据的处理和分析。(The program time-domain data is converted to the frequency domain (power spectral density), to facilitate the processing and analysis of data.)

自适应噪声控制程序Matlab编写，LMS算法(Aplication Program to Test Adaptive Noise (Interference) Canceller)

快速傅里叶变换 (FFT) 实现，给定信号x(t)=sin(2πf0t)，f0=50Hz，对x(t)以fs=200Hz进行抽样，抽样点数为N=16。编写程序实现对x(n)的快速傅里叶变换，求得相应的X(K)。(Fast Fourier Transform (FFT) to achieve a given signal x (t) = sin (2πf0t), f0 = 50Hz, for x (t) with fs = 200Hz sampling, the sampling points is N = 16. Procedures for the preparation of x (n) of the fast Fourier transform, obtained by the corresponding X (K).)

说明：  设置电容型脉冲电源的电容、电感、回路和负载的电感电阻等参数，可以计算出脉冲电源的输出电流。(The output current of the pulse power supply can be calculated by setting parameters such as capacitance, inductance, loop and load inductance resistance of the pulse power supply.)

本资料介绍了图论的概念，以及图论的用法，也包含了算法的matlab实现(Graph Theory matlab)

拉普拉斯残差金字塔在图像融合有着非常重要的作用，该程序是拉普拉斯金字塔在matlab中的应用(Laplace residual pyramid image fusion has a very important role in the program is the Laplace pyramid application in matlab)