MSCI703_project

Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator. a Compute the autocorrelation of for . b Compute the periodogram estimate and plot it. c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for . d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d). (Generate 100 samples of a zero-mean white noise sequence with variance, by using a uniform random number generator.a Compute the autocorrelation of for. B Compute the periodogram estimate and plot it. C Generate 10 different realizations of, and compute the corresponding sample autocorrelation sequences, and. Compute the average autocorrelation sequence as and the corresponding periodogram for. d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d).)

Matlab下实现图像自适应性阈值分割，算法使用大律法，可直接运行(Matlab to achieve adaptive image thresholding, algorithm uses a large law can be directly run)

分享给需要matlab的同学们～Share the need matlab classmates ~(Share the need matlab classmates ~)

粒子群算法的matlab程序，简单实用。直接出图形和结果(PSO algorithm matlab procedures, simple and practical. Direct result of graphics and)

matlab经验模态分解 emd 工具包 包含emd常用函数，可用于机械设备故障诊断(Matlab empirical mode decomposition toolkit can be directly used in mechanical equipment fault diagnosis)

sample for signal modulation.

MATLAB 主要函数指令表按功能分类 常用指令 通用信息查询 工作空间管理 管理指令和函数 指令窗控制 操作系统指令 运算符和特殊算符 (The main function of MATLAB commands by functional classification table used commands general information about job management command and function space management control of the operating system command window commands Operators and Special Operators)

自适应型广义形态滤波滤波器的源代码（内含腐蚀、膨胀、开闭运算、snr等代码），仅供参考(The source code of the adaptive generalized morphological filter filter (containing corrosion, expansion, opening and closing op, snr, and other code), for reference only )

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

此文档介绍了Matlab软件中的另外一种算法--稳态模型的建立。(This document describes the Matlab software in another algorithm- the establishment of the steady-state model.)