tongzhou

Matlab book for beginner

电子实训报告，做一个电子狗，实训总结和体会，对没有写过实报告的人提供了范例！(Electronic dog training report)

This letter presents a novel algorithm to compute the instantaneous frequency (IF) of a multicomponent nonstationary signal using a combination of fractional spectrograms (FS). A high resolution time frequency distribution (TFD) is defined by com-bining FS computed using windows of varying lengths and chirp rates. The IF of individual signal components is then computed by applying a peak detection and component extraction procedure

计算雷达成像中的脉冲性能参数，即主瓣宽度、积分旁瓣比和峰值旁瓣比。(Calculation of the pulse radar imaging performance parameters, such as the Lord disc width, integral side-lobe peak than and side-lobe than.)

An Improved Face Recognition Algorithm through Gabor Filter Adaptation

产生M序列，可以作为系统的输入，经过系统辨识后得到输出，进而得到系统的传递函数(M sequences generated can be used as the input, output obtained through system identification, and further to the transfer function)

least means square algorithm using matlab

这个matlab程序实现了Edge Linking and Line Segment Fitting，解压后直接运行demo.m就可以了 ( edgelink.m edge linking function that forms lists of connected edge points from a binary edge image. (Needs findendsjunctions and cleanedgelist below). drawedgelist.m plots out a set of edge lists generated by edgelink or lineseg. edgelist2image.m transfers edgelist data back into a 2D image array. lineseg.m forms straight line segments fitted with a specified tolerance to the lists of connected edge points. maxlinedev.m is also used by lineseg.m to calculate deviations of the edge lists from the fitted segments. findendsjunctions.m finds line junctions and endings in a line/edge image. cleanedgelist.m cleans up a set of edge lists generated by edgelink or lineseg so that isolated edges and spurs that are shorter than a minimum length are removed.)

wav文件读取。包括产生幅度，相位，过零率。内附程序和报告书。(wav file to read. Including the generation of amplitude, phase, zero crossing rate. Enclosing the process and report.)

EKF-SLAM Simulator (version 2.0) ------------------ This simulator demonstrates a simple implementation of standard EKF-SLAM. It permits simple configuration via configfile.m to perform SLAM with various control parameters, noises, etc. Also various switches are available to choose known data-association versus gating, etc. The key file in this simulator is called ekfslam_sim.m . Type help ekfslam_sim for more information of how to use it. In addition to on-line animations, the simulator returns a data-structure of the logged state information for off-line processing. An example use of this data is shown in m-file plot_feature_loci.m , which plots the trajectories of the landmark estimates.