ARMA42

vt8500 update software tool user guide

It is important to detect the edges of the image.It is not better than canny.

互信息程序编码，是基于MATLAB环境下(Mutual information procedure codes, is based on the MATLAB environment)

基于MATLAB的语音信号滤波设计与实现(MATLAB-based Design and Implementation of Speech Signal Filtering)

该文研究了河南省不同年龄组的历史发展趋势和65岁以上人口未来发展趋势以及影响老龄化相关因素的问题。通过对不同时期的人口数据的分析和预测，从一个经典的模型入手，建立了三个不同的模型，分别 模型、 模型和关联分析模型，然后采用统计分析的方法来解决这些问题，预测出了河南省未来老龄化人口的发展。(This paper studies the different age groups in Henan Province of historical development trends and population over the age of 65, as well as the impact of future development trend of aging-related factors. Different stages of the analysis of population data and projections from a model of the classic, the establishment of three different models, namely, model, models and associated analysis model, and then using statistical analysis methods to solve these problems, predict the Henan Province, the future development of an aging population.)

基于MATLAB的线性调频信号产生和频谱分析，某雷达参数数下的模糊函数及自相关函数仿真分析。，已通过测试。 (MATLAB linear FM signal generator and spectrum analysis, the number of parameters of a radar ambiguity function and autocorrelation function of simulation analysis. , Has been tested.)

轴承故障信号vmd分解及输出频谱图和幅值图，内含main、vmd及输出频谱图和幅值图三个程序，直接用main就行(VMD decomposition of bearing fault signal and output spectrum and amplitude diagram)

手写傅里叶反变换，通过矩阵变换实现的傅里叶逆变换，修改读入图像名就可以实现对应图像的傅里叶反变换，并与MATLAB内置函数进行比较(Inverse Fast Fourier Transform)

this code is skin color detection algorithm

数据资料是数学模型与实际问题接轨的重要途径和手段，有时还可以直接从数据资料中发现规 律组建模型。数据分析和处理是统计学研究的主要内容，也是计算数学的工作领域，近年来随 着计算机科学的发展，对“海量”数据的分析形成了一门新的交叉学科“数据挖掘”。这一章仅 介绍用统计学的最小二乘法构造拟合数据模型，以及用计算数学的函数插值方法处理数据解决 实际问题。(Is a mathematical model of data integration an important practical problem with the ways and means, and sometimes directly from the data can also be found in the law of the formation model. Statistical data analysis and processing is the main research, but also work areas of computational mathematics, computer science in recent years, along with the development of the " mass" analysis of the data formed a new cross-disciplinary " data mining." This chapter describes only the structure with a statistical method of least squares fit data models, and computational mathematics and data processing function interpolation methods to solve practical problems.)