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To show Gibbs phenomenon, using FFTs to sum Fourier Give the curve plot at the end of the simulation

多种模式识别算法的编程实现，非常详细，包括PCA，MPCA，LLE等(Several pattern recognition algorithm is introduced, including PCA, MPCA, LLE etc.)

经典的利用小波模极大值的方法实现信号去噪的程序 保存格式为TXT.开发环境是MATLAB(classic wavelet modulus maxima of the signal denoising procedures for the preservation TXT format. Development Environment MATLAB is)

LTE SAE网络eNodeB脆弱性分析.pdf(ENodeB LTE SAE network vulnerability analysis)

Matlab files of chapter 4 kalman filtering 3 edition of grewal

vc++ 调用 matlab vc++ 调用 matlab vc++ 调用 matlab vc++ 调用 matlab(vc++ matlab)

说明：  无限冲击响应滤波器 (IIR) 实现，涉及一个Butterworth低通滤波器，设计指标为：在通带内频率低于0.2π时，最大衰减小于1dB；在阻带内[0.3π, π]频率区间上，最小衰减要大于15dB (An infinite impulse response filter (IIR) implementation, involves a Butterworth low-pass filter design specifications as follows: in the passband frequencies below 0.2π, the maximum attenuation is less than 1dB in the stopband [0.3π, π] frequency interval , the minimum attenuation greater than 15dB )

MATLAB7.0入门教程 大学教程，入门参考(MATLAB7.0 Tutorial university tutorials, reference entry)

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)

关于拉曼光纤激光器超连续谱的仿真程序，欢迎大家下载楼！(this is about supercontinue spectrum.)