Simulink

这是我自己编写的主元分析的MATLAB程序，主要包含经典多变量统计方法，运行结果不错，欢迎下载~(This is my own writing of the principal component analysis of the MATLAB program, mainly include classical multivariate statistical method, operation result is good, welcome to download ~)

设计了一种具有异周期毗邻结构的新型循环前缀,提出了相应的OFDM 频偏估计算法。该异周期毗邻结 构循环前缀由CP1 和CP2 两部分构成,使OFDM 符号具有双周期特征。通过引入较短的CP1 ,牺牲极少的资源, 可以有效克服现有频偏估计方法中的固定频偏估计范围的缺陷,同时具有频偏估计范围大,精度高的特点。(This paper proposes a heter2cycle abutted CP st ructure and a two2step OFDM carrier f requency calibration algorithm. The cyclic prefix of the new cyclic prefix is made up of CP1 and CP2 , which provide the character of double2cycle for OFDM symbol. By int roducing a short CP1 , the proposed algorithm can overcome the defect of fixed f requency off set estimation range in current f requency estimation method , and achieves larger f requency esti2 mation range while obtaining fine f requency calibration.)

there is some code in matlab that will provide help in the field if digital image processing.it includes the code of extracting region of interst, median filter, nearest neighbour point sampling technique, negative of an image etc. and it is done by myself because i am doing becholar of computer science.it does not include any copyrighted content.i hope it will help thoes people that required help in the field of digital image processing.

power factor improvement

Processing of Image Files by: using Photoshop to crop images. Then, use MATLAB to: Convert images into a transformed domain and Design 2D filters for further analysis.

lm算法，非线性最小二乘算法，进行参数估计及非线性方程计算(The LM algorithm, the nonlinear least squares algorithm, used for parameter estimation, and nonlinear equations)

一篇关于MATLAB的基础知识，供大家使用，希望对大家有用，(A basic knowledge of MATLAB for everyone to use, we want to be useful,)

matlab code for show image and read the image

滤波器高斯噪声信道模型和jake s信道模型下的加入卷积码的二进制相位调制(bpsk and convolution on the filtered gaussion noise channel model and jake s model)

本文是编程实现图像的直方图均衡化，来达到图像增强。(This is the image histogram programming to help inform the histogram revised)