store2hdf5_trainingdata

a mannually placed landmarks based registration

AI to power system

matlab模拟的树形分形图，可方便快捷的理解分形理论，学习数学迭代关系(matlab)

压缩文件中给出了已知系统传递函数及输入信号的情况下，求解系统输出响应的四种方法，即差分方程法，卷积法，DFT法以及滤波器设计方法；此外还包含创建窗及其频率响应的matlab设计。(Known compressed file system transfer function is given and the case of the input signal, the output response of the system to solve the four methods, namely the differential equation method, convolution, DFT method and the filter design methods Also included creating windows and its frequency response matlab design.)

This code is related to the course Digital Communications. It simulates a communication system which uses AWGN and 16QAM

正弦函数用fft实现的单边振幅谱图形(未加噪声）(Unilateral amplitude of the sine function with fft spectrum graphics)

matlab svm 分类程序，适合7.0以上的版本(matlab svm classification procedures suitable version 7.0 or above)

自己编写的比较全面的故障诊断matlab函数程序，包括统计法、时域法、时间序列法、频谱及功率普密度函数、小波分析法程序中有详细的说明。(their preparation of a more comprehensive fault diagnosis Matlab function procedures, including statistics, time domain, time series, and power spectral density function Pronk, wavelet analysis procedures are described in detail.)

这是一个用NATLAB编写的用于WSN中计算UKF的源程序(this resource is used to calculate the location of the UKF )

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)