obj_display

addon.m是用matla编写的距离函数和拓扑函数示例(addon.m is prepared with matla topological distance function and the function of the sample)

PSO, Particle swarm Optimization Code

非线性不确定优化程序，约束函数也为非线性(Nonlinear uncertain optimization program, constraint function for the nonlinear)

高斯白噪声信道的误码率性能的matlab的m文件(BER performance over AWGN channel)

For all classifier needs feature classification object .Here the program for height and width feature taken hand image.This program suitable for any single object in the image. input gray_img : input hand image or any measure image like 2d with 0 to 255 intensity output height : pixel count of height width : pixel count of width out_img : segmented image with line for height and width hand_height_width function implements hand height and width of the image using the method outlined in: calculate the hand height and width value for gray image. In Proceedings of the Information Sciences 275 (2014) 45–56. Hand shape identification on multirange images. [ height width out_img ] = hand_height_width ( gray_img ) function is to find the hand height and width value of the image. The input is given to the gray scale image.

小波分解与重构，用VC6.0和MATLAB实现的混合编程，用MFC实现的界面设计。(Wavelet decomposition and reconstruction, with VC6.0 and MATLAB implementation of the hybrid programming, interface design implemented with MFC.)

single channel EMG analysing

本程序，使用定时器0，产生的中断，进而进行计数，并在LCD1602上显示(This procedure, the use of timer 0, arising from interruption, and then to count and display LCD1602)

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

simulink model of dc motor