00-Automatic-parking-algorithm

MATLAB 智能语言文档 从零开始学软件 (Intelligent document MATLAB language learning software from scratch)

现有一个信号：x(n)=1+cos(π*n/4)+ cos(2*π*n/3)设计及各种数字滤波器以达下列目的： 低通滤波器，滤除cos(2*π*n/3) 的成分，即想保留的成分为1+cos(π*n/4) 高通滤波器，滤除1+cos(π*n/4) 的成分，即想保留的成分为cos(2*π*n/3) 带通滤波器，滤除1+cos(2*π*n/3) 的成分，即想保留的成分为cos(π*n/4) 带阻滤波器，滤除cos(π*n/4) 的成分，即想保留的成分为1+cos(2*π*n/3) 1. 用MATLAB命令butterord求除滤波器的阶数,用命令butter设计各滤波器；画出滤波器幅度和相频相应 取各滤波器的系统函数H(z)。 (an existing signal : x (n) = a cos (* n/4) cos (2** n/3) design and digital filter to achieve the following objectives : low-pass filter, filter cos (2** n/3) the ingredients that want to retain an element of a cos (* n/4) high-pass filter, a filter cos (* n/4) components, namely to retain the element of cos (2** n/3) band-pass filter , a filter cos (2** n/3) components, namely to retain the element of cos (* n/4) band stop filter, the filter cos (* n/4) components, namely to retain the ingredients for a cos ( 2** n/3) 1. MATLAB order butterord except for the band Filter, using the order of the filter design butter; paint Filter magnitude and phase frequency of the corresponding filter system function H (z).)

XLP cabel in industrial system

emd程序，可以用于滤波，得到几个IMF分量，滤掉复杂的波从而分析波的特征(emd program, can be used to filter, get a few IMF component, the complex wave filter to analyze the characteristics of wave)

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

MATLAB 学习指南第六章．编写与调用函数(MATLAB Learning Guide Chapter VI. Prepared with the call function)

Many algorithms for PQRST feature extraction have been reported in the literature, especially algorithms for finding the QRS complex [Pahlm and Sornmo, 1984] [Hamilton and Tompkins, 1986]. In this section, only the feature extraction algorithm used in this work is described.

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

基于Marginalized粒子滤波的卫星姿态估计算法。介绍了一种基于粒子滤波的全新的卫星姿态确定的算法，非常有借鉴意义(Marginalized particle filter based on the satellite attitude estimation algorithm. This paper presents a particle filter based on new satellite attitude determination algorithms, very referential significance)

以Matlab为平台设计一个用于寻求多峰值函数峰值点的软件对一元及二元多峰值函数的优化；(To Matlab as a platform for the design of a multi-peak function to find the peak point of the software on more than one million and two peak function optimization )