je378

CIRCULAR CONVOLUTION,CORRELATION,DIGITAL IIR FILTERS_BUTTERWORTH,DIGITAL IIR FILTERS_CHEBYSHEV, FIR FILTER DESIGN,FIR_TMS

在matlab之中，用编程的方法实现了空间矢量PWM控制。(Space Vecter PWM)

matlab例程MATLAB 6.x版的内建数据类型（Built-in data type）就有5种以上，此外还有许多其他专门设计的类（Class），如符号类、内联函数类、控制工具包中的线性时不变模型类、神经网络类等。就程序设计而言，MATLAB 6.x版采用了面向对象编程技术。数据和编程的改变使用户能更简捷而自然地解决复杂的计算问题（如符号计算问题、多变量控制系统问题、神经网络问题）。本章内容根据MATLAB6.5编写，但绝大部分内容适用于其他MATLAB6.x版本。(Matlab routines MATLAB 6.x version of the built-in data types (Built-in da ta type) have more than five, in addition to many other specialized design category (Class). If symbol, which together function category, tool kits control the linear time-invariant model type, neural network type. On the design process, using MATLAB 6.x version of the object-oriented programming technology. Programming and data changes so that users can more simple and natural solution to the complex calculation (as symbolic computation, multivariable control systems, neural networks). According to the contents of this chapter MATLAB6.5 preparation, But most of what applies to other MATLAB6.x version.)

欢迎下载，MATLAB求函数极小值的程序(Welcome to download, MATLAB function for the minimum procedures)

介绍Auto focus的文章，主要介绍了对焦技术，探测技术；包括频域分析、目标函数、目标函数效能验证、影像评估效能之因素、高斯低通滤波器参数的选取、自动对焦技术；以及相关实验结果与分析。(Introduction Auto focus of the article introduces the focus technology, detection technology including frequency domain analysis, the objective function, the objective function performance verification, image assessment of the effectiveness of the factors, Gaussian low-pass filter parameter selection, auto-focus technology and related experimental results and analysis.)

BP神经网络预测数据，matlab实现。(BP(ANN)relize forecasts data,matlab.)

Matlab implementation of Moore reverberation algorithm, test code

matlab code for analog filter

有关图像图形处理 图像识别 主成分分析法，模板匹配等识别方法的Matlab程序(Principal component analysis (pca) on video image processing image recognition, template matching identification methods, such as Matlab)

说明：  分类使用（一个非常简单的实现）支持向量机算法(Classify using (a very simple implementation of) the support vector machine algorithm)