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forecar_1
Recursive stochastic forecaster k steps ahead of AR(1) time series given initial
value & computation of stepwise dynamic multiplier
- 2010-08-09 09:45:57下载
- 积分:1
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MATLAB7jianmingjiaocheng
MATLAB 7简明教程(电子教案、实例源文件)(Concise Guide (electronic lesson plans, examples of the source file))
- 2007-06-10 23:05:38下载
- 积分:1
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ch12
zcr : ampzcr.m -- short time energy and zero crossing rate program
vad.m -- endpoint detection
- 2013-11-28 03:19:47下载
- 积分:1
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fraction_bn
绘制分数阶bode曲线和奈奎斯特曲线的matlab代码(To draw fractional bode curve and Nyquist curve matlab code)
- 2021-04-09 10:19:00下载
- 积分:1
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ZF-MMSEjunheng
ZF-MMSE预均衡,代码真实有效,可使用。。。。。。(ZF-MMSE pre-equalization, code is valid, can be used. . . . . .)
- 2014-01-23 22:39:23下载
- 积分:1
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fiuhui_v31
最小均方误差(MMSE)的算法,一些自适应信号处理的算法,实现串口的数据采集。( Minimum mean square error (MMSE) algorithm, Some adaptive signal processing algorithms, Achieve serial data acquisition.)
- 2016-08-06 15:19:25下载
- 积分:1
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植物虫害检测(GUI,注释,svm算法)
说明: 植物虫害检测(GUI,注释,svm算法)
该课题为基于MATLAB SVM方法的植物病害检测系统,带GUI界面,可以识别多种被虫害侵蚀的植物叶子,输出结果。带论文和详细注释。
train 对黄瓜子文件夹所有图片提取 颜色矩特征和gabor纹理特征,然后svm训练
test 对测试图像灰度化,滤波,提取 颜色矩特征和gabor纹理特征,然后svm模型测试,输出类别
colorMom.m 颜色矩特征提取
Gabor_palm.m gabor纹理特征提取(Plant pest detection (GUI, annotation, SVM algorithm)
The project is a plant disease detection system based on MATLAB SVM method, with GUI interface, which can identify a variety of plant leaves eroded by pests and output results. With paper and detailed notes.
Train extracts color moment features and Gabor texture features from all the pictures in the sub folder of cucumber, and then SVM trains them
Test grayscale and filter the test image, extract color moment features and Gabor texture features, then SVM model test, output category
Colormom. M color moment feature extraction
Gabor u Palm. M Gabor texture feature extraction)
- 2021-04-28 09:48:44下载
- 积分:1
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example2
CDMA 语音编码,在MATLAB环境下可直接运行(CDMA speech coding)
- 2009-05-17 17:19:40下载
- 积分:1
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NNDemo2.0
NNDemo2.0是对神经网络实验演示系统NNDemo1.0的进一步增强与扩充,
可以形象的演示各种网络模型的一些应用或性质,其中仿真例题是《人工
神经网络原理及仿真实例》教材中所有的例题。该系统使用极其简便,即使
你对各种网络模型不是很深刻的了解,也可以很好的使用该系统。使用时,
你可以自己修改网络的各种参数,交互性较好,而且该系统通过大量的图示
及参数设置,可以让你了解每个应用实例实现的过程及详细步骤。如果你想
学习神经网络的Matlab仿真(编程),进一步提高自己的编程能力,下面的
文件说明可以帮助你很快的找到系统的每个源文件。
(NNDemo2.0 is a neural network system NNDemo1.0 experimental demonstration of the further enhanced and expanded)
- 2009-05-26 17:43:36下载
- 积分:1
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LIF
一种基于区域活动轮廓模型,通过引入局部的图像拟合能量来提取图像的局部信息,能够有效的额分割强度不均一的图片。较传统的水平集方法有更少的计算量(By introducing the local image fitting(LIFenergy to extract the local image information,our model is able to segment image with intensity
inhomogeneities.)
- 2013-09-13 16:40:23下载
- 积分:1