关于PSO的PPT讲解,对学习和了解PSO优化算法很有帮助

自适应信号处理中的FTF的仿真，Matlab程序(Adaptive signal processing of the simulation FTF, Matlab)

Principal component analysis,for study about classification data,develop for svm , lvq etc

说明：  gps c/a码的产生，是一个小的MATLAB代码，希望对你有用(c/a code generation)

Non-Extensive entropy with Gaussian Information Gain for identifying and classifying regular textures which contain repetitive patterns correlated over space that translates to high probabilities in the gray level co-occurrence matrix

Cyclostationary feature analysis

飞行器附面层转捩稳定性问题求解 Orr-Sommerfeld方程 (Orr-Sommerfeld equation)

说明：  基于窗含数设计法和频率采样法的FIR数字滤波器设计(Design of FIR digital filter based on the method of window inclusion design and frequency sampling)

线性调频脉冲压缩的Matlab程序,基于分段非线性权重值的Pso算法，研究生时的现代信号处理的作业，毕业设计有用，供做算法研究人员参考，在matlab环境中自动识别连通区域的大小。

Matlab codes for Robust PCA multivariate control chart(Robust PCA multivariate control chart mainly consists two steps: Step1 Calculates the robust mean and the robust covariance of original dataset using the minimum covariance determinant (MCD). In MCD technique, finding a subset containing half of the data such that its covariance matrix has the lowest determinant, then using this subset to calculate the robust mean and the robust covariance matrix (Hubert, Rousseeuw, & Branden, 2005) Step2 Standardize data using robust mean and robust standard deviation from Step1. Apply PCA analysis, calculate the principalcomponent score matrix Y=ZA, where Z is the robust standardized data matrix, and A is p*p matrix of eigenvectors (also called principalcomponents))

Cumulant-Based Inverse Filter