我课设编写的预报误差法参数辨识-松弛的思想

修改了冈萨雷斯《数字图像处理》中的区域生长法。本函数中含有三种选择种子点的方法：分别依据灰度值，种子点位置，交互式选择单个种子点。(Modified the region growing method described in "Digital Image Processing" . This function contains three options for the method of seed points: based on gray value, the location of the seed points, interactive selection of a single seed point. )

Included in this distribution is matlab code to generate posterior samples for linear Gaussian and binary matrix factorization (noisy-or) Indian Buffet Process models. Three different posterior sampling algorithms are provided: Gibbs, reversible jump Markov chain Monte Carlo (RJMCMC), and sequential importance sampling (SIS). Only the Gibbs and SIS samplers are provided for the linear Gaussian IBP models.

google排名算法，即pagerank算法，google排名算法，即pagerank算法(Google ranking algorithm, namely PageRank algorithm, google ranking algorithm, namely PageRank algorithm)

关于调频信号的仿真的演示,利用matlab实现卫星调频信号的仿真和演示(Demo on the FM signal simulation using matlab satellite FM signal simulation and demonstration)

RLS/LMS/LLMS算法中预测系数的估计和学习曲线对比(RLS/LMS/LLMS algorithm prediction coefficient estimates and the learning curve comparison)

产生 正态白噪声序列 (1) 打印出前50个数 (2) 分布检验 (3) 均值检验 (4) 方差检验 (5) 计算相关函数 Bx(i),i=0,±1,±2,…, ±10。 B(m)=1/1000 (Have a normal white noise sequence (1) print out the top 50 the number of (2) the distribution of test (3) the mean test (4) of variance test (5) calculating the correlation function Bx (i), i = 0, ± 1, ± 2 , ..., ± 10. B (m) = 1/1000)

无损预测编码的主函数和子函数，以及指数哥伦布编码的源代码(Lossless predictive coding main function and subfunction, and Exponential-Golomb coding of source code)

基于DCT的图像信息隐藏于提取，隐藏位置为随机数列确定(DCT-based image information hiding in the extraction, hidden location to determine a random series)

1、分别生成两种信号（正弦波、方波、三角波、锯齿波、Sinc波形等）+噪声（高斯随机噪声、均匀噪声） 要求：频率：学号*100； 幅度：学号/10 相位：学号*pi/180 点数：学号*64 2、同时在一个图形中进行显示： 要求：标注X轴、Y轴、题目、颜色、样式、线型标注等。 3、进行信号分析及结果显示（对结果也要图形标注，同2） 要求：相关分析 卷积运算 求和运算 频谱分析（最大值、测频） 4、对上述原信号及信号分析结果分别存成EXCEL文件、文本文件和二进制文件，命名为名字+班级+学号+后缀(1, respectively, to generate two signals (sine wave, square wave, triangle wave, sawtooth wave, Sinc waveform, etc.)+ noise (Gaussian random noise, uniform noise) requirements: Frequency: No.* 100 margin: Student ID/10 phase: learning* pi/180 Points: No.* 642, in a graphical display: Requirements: X-axis label, Y axis, the title, color, style, linear marked. 3, signal analysis and results display (graphical results also marked with 2) requirements: analysis convolution summation spectrum analysis (maximum frequency measurement) 4, the original signal and the signal analysis results were kept into EXCEL files, text files and binary files, named for Name the+ class++ suffix number)

故障诊断方面的一篇文章，发表在Automatica上，具有很大的参考意义。(Fault diagnosis of an article published in Automatica, and has great reference value.)