MATLAB_jiaocheng

This code takes data received from a bearing and converts it from the time domain to the frequency domain in order to determine bearing defect size.

Attempt to invert plp cepstra back to a full spectrum and even a waveform.

说明：   基于matlab 的叠加高斯白噪声的正弦信号频谱分析，给定正弦函数x=sin(2πf0n/N+π/3)+sin(2πf1n/N+π/4)，设定f0.f1的值，加了噪声之后做快速傅里叶变换，在matlab中分析其频谱，验证是否与f0,f1的值符合。再变换N值，看随着N值的变化对应点是否符合及有何变化。(Matlab based on the superposition of Gaussian white noise sinusoidal signal spectrum analysis, given the sine function x = sin (2蟺f0n/N+蟺/3)+sin (2蟺f1n/N+蟺/4) set value of f0.f1, do a quick noise Fourier transform to analyze the spectrum in matlab, verify that with f0, in line with the value of F1. Transform the value of N, see change as the value of N corresponding points of compliance and what changes.)

数学建模竞赛练习题-最优捕鱼模型的matlab代码(Mathematical modeling optimal fishing model matlab code. . . . . . . . . . . . . .)

半光滑牛顿法semi-smooth Newton method(semi-smooth Newton method)

Image processing question that may come in any image processing seesion. Will help to undrstand what actually nedd to know wheile doing image processing as well as clustering.

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

sphere collision in a square domain

Face Detection, neural network

使用WIN-TC编写一个程序，实现数值积分。用复化梯形方法、复化Simpson方法、变步长梯形方法、变步长Simpson方法编程求解积分值。(Using WIN-TC to write a program to achieve numerical integration. Compound trapezoid method used, the complex method of Simpson, variable step trapezoidal method, Simpson variable step method for solving integral value programming.)