-
Video-signal-compression
说明: 视频信号的压缩处理,包括帧分类,冗余的去除等(Video signal compression, including frame classification, redundancy removal, etc.)
- 2011-03-16 06:50:58下载
- 积分:1
-
invMarguarotWem
线性反演方法中的马夸特反演算法 matlab程序(Linear inversion method of Marquardt inversion algorithm matlab program)
- 2012-05-25 09:22:48下载
- 积分:1
-
LMFnlsq
Levenberg–Marquardt algorithm
- 2012-09-13 22:24:59下载
- 积分:1
-
mean
Jerk混沌系统产生的模拟信号的均值化处理 方法简单效果明显(Mean treatment method Jerk chaotic system to produce an analog signal simple obvious effect)
- 2015-04-01 15:56:45下载
- 积分:1
-
lorenzgui
动态演示不同参数下的lorenz混沌吸引子(Dynamic playing the different parameter of the lorenz chaos attractor)
- 2012-06-26 20:47:32下载
- 积分:1
-
TVP_FAVAR
本软件是伯南克提出时变的因子扩展VAR模型,能够考察变量间的冲击效应,及其结构变化特征,克服通常VAR的变量少等缺陷。(This software is the factor Bernanke proposed changing the extended VAR model, to study impact effect among the variables, and structural changes, less often overcome VAR variable defects.)
- 2014-09-04 09:54:32下载
- 积分:1
-
matlab
matlab高阶谱分析工具箱,分析振动波形的高阶谱。(high-order spectral analysis toolbox matlab to analyze the vibration waveform of high-end spectrum.)
- 2007-08-29 12:40:44下载
- 积分:1
-
erplab_4.0.3.1
codes for erp lab. a lot of functionalities foe eeg
- 2015-01-15 15:18:35下载
- 积分:1
-
edtjpncz
GPS和INS组合导航程序,WMYGDQX参数在matlab环境中自动识别连通区域的大小,matlab程序运行时导入数据文件作为输入参数,本科毕设要求参见标准测试模型,LgetVrD条件滤波求和方式实现宽带波束形成,基于人工神经网络的常用数字信号调制。( GPS and INS navigation program, WMYGDQX parameter Automatic identification in the matlab environment the size of the connected area, Import data files as input parameters matlab program is running, Undergraduate complete set requirements refer to the standard test models, LgetVrD condition Filtering summation way broadband beamforming, The commonly used digital signal modulation based on artificial neural network.)
- 2016-02-22 20:32:36下载
- 积分:1
-
Mahalanobis
马氏距离是一种有效地计算两个样本集之间相似度的算法(数据之间协方差距离),与欧式距离相比,它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据,设计一个最小马氏距离分类器并对测试点进行分类,然后将其与最小欧式距离分类器进行比较,实验得出当协方差矩阵为单位阵时,最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类,并与最小马氏距离分类器进行比较,比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)
- 2021-02-07 08:59:55下载
- 积分:1