4FFTproject

pb的ole编程技术，OLE，全称Object Linking and Embedding，即对象链接和嵌入技术，是Windows系统中允许应用程序共享数据和程序功能的一种标准的便利方法。(Object Linking and Embedding)

matlab 编写的分形程序. 希望有用(fractal)

VC_Matlab air conditon主要讲述了基于VC 和Matlab环境下的空调设计方案(VC_Matlab air conditon mainly about VC and Matlab environment based on air-conditioning design)

MATLAB实现的人脸检测程序 （PCA）方法，内附有详细注释(MATLAB implementation of face detection (PCA) method, enclosed is the detailed comments)

说明：  冈萨雷斯（matlab）书中源代码全载。(Gonzalez (matlab) the book contains all the source code.)

说明：  无线传感器网络定位算法MDS-MAP仿真的matlab代码(Wireless sensor network localization algorithm MDS-MAP simulation matlab code)

说明：  ti-nspire mod for ndless

说明：  该算法是结合减法聚类与FCM聚类算法融合的远代码。算法通过融合这两种算法，从而可以直接在线确定聚类数目。(The algorithm is combined with Subtractive Clustering with FCM Clustering Algorithm far integration code. Algorithm through the integration of these two algorithms, which can be directly online to determine the number of clustering.)

自适应滤波器算法与实现 英文第三版 Paulo S.R. Diniz编著(Adaptive Filtering- Algorithms and Practical Implementation Third Edtion)

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱(Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance improvement: Automatically vectorize fitness functions supplied by user, if not already vectorized. * Performance improvement: Detect and eliminate dependent (i.e. redundant) linear constraints. * Performance improvement: Automatically choose "penalize" versus "soft" constraint handling method based on type of constraints in problem. If any equality constraints exist, using "penalize", otherwise default to "soft". If "soft", automatically switch to "penalize" if more than a given percentage of particles (initial or interim) are infeasible. * Feature: An output function defined by options.OutputFcns that can save current swarm state in a file which can be reloaded later as a problem structure, in case of a system crash. * Feature: Implement multiobjective optimization option)