NSGA2 eva

说明：  采用CNN神经网络道路特征提取和故障诊断(Road feature extraction and Fault diagnosis based on CNN Neural Network)

说明：  对于一个存储了五门课成绩的txt文本，进行数据读取、数据分离、画出变化曲线。(For a TXT text that stores the scores of five courses, data reading, data separation and drawing change curve are carried out)

QPSK modulation system with recover loops(This is a model of a QPSK modulation system for transmission over a bandpass channel with fc = 100 Hz and B = 30 Hz and AWGN at the receiver. SRRC fi lters with excess bandwidth α = 0.18 are employed. The receiver includes an NDA timing recovery loop followed by a DD phase recovery loop. The transmitter?s symbol period is T and set to a value of 100 ms. The symbol period at the receiver is Tr. The model will produce six windows: Two constellation plots and two eye diagrams (for the real part only), at the output of the matched fi lters and after the recovery loops a plot of the phase error (output of the NCO) and a plot of the fractional timing error (used in the interpolator). The frequency off set at the receiver is denoted by deltaf. The model simulates the transmission of 8000 QPSK symbols.)

Matlab mallat分解重构 小波谱分析mallat算法经典程序(Algorithm for spectral analysis mallat small classic program)

DICOM to NIfTI converter by Xiangrui Li

UWB，超宽带信号分析必用的子函数，第6部分！(UWB, ultra-wideband signal analysis will be used for Functions, Part 6!)

机器人仿真程序，有界面和运行系统，供初学者学习(robot simulator，just for preliminary learner to study。Thank you very much。haha )

matlab music算法matlab music算法(matlab music algorithm matlab music algorithm)

利用matlab对图像所感兴趣的区域进行面积计算并且求解(Use matlab image of the region of interest and area calculations carried out to solve)

eof分解用的函数，说明如下：function [EOF,PC,F,diff]=EOFcgx(X) EOF分解。Xm*n 空间数据维数m，n为时间采样点 返回值EOF为空间模态,PC为时间模态。第一空间模态EOF(:,1),第一时间模态PC(1,:) 返回值F为特征值，diff为误差 (eof decomposition function as follows: function [EOF, PC, F, diff] = EOFcgx (X) EOF decomposition. Xm* n spatial dimension m, n is the time of sampling points Returns the value EOF spatial modes, PC is the time modes. The first space modal EOF (:, 1), the first time the modal PC (1, :) Return value F for eigenvalues, diff for error )