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Dreamweaver_CS5
Dreamweaver_CS5官方教程,帮助您快速掌握相关知识,好用(Dreamweaver_CS5 official tutorial to help you quickly master the relevant knowledge, easy to use)
- 2013-12-26 10:02:18下载
- 积分:1
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matlab-primer
Mathlab primer - guide book
- 2010-06-07 20:41:46下载
- 积分:1
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HHT-DPS-WhitePaper
Hilbert-Huang变换-DPS-WhitePaper,(Hilbert-Huang Transform-DPS-WhitePaper,)
- 2009-01-13 10:24:20下载
- 积分:1
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sourcecodeforFaceRecognition
MATLAB平台人脸识别源代码,好几个不错的代码,做人脸识别的可以下载(MATLAB source, face recognition of several good code, do the face recognition can be downloaded)
- 2010-05-14 09:49:00下载
- 积分:1
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luboqi
设计一个8阶以内的带通滤波器,通带截止频率fc1=30070HZ,fc2=32170HZ,通带内允许最大衰减0.2dB。设计满足要求的Butterworth滤波器和chebyshev滤波器。以RC运放为基本单元以最易实现的原则完成电路设计及参数选择,并根据设计参数进行幅频特性和相频特性的仿真,给出仿真曲线。分析电路的无源灵敏度。(Design within an 8-order band-pass filter, the passband cutoff frequencies FC1 = 30070HZ, FC2 = 32170HZ allow maximum attenuation 0.2dB within the passband. Designed to meet the requirements of the Butterworth filter and chebyshev filter. RC op amp is the basic unit is the most easy to implement the principle of complete circuit design and parameter selection, and in accordance with the design parameters of the amplitude-frequency characteristics and phase-frequency characteristics of the simulation, simulation curve. Passive sensitivity of the analysis circuit.)
- 2013-03-27 21:10:38下载
- 积分:1
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drwCrcle
Draw a circle on the current axis
- 2011-12-03 04:36:24下载
- 积分:1
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zcheb_zyj
matlab用切比雪夫设计滤波器,并且分为两种不同类型设计方法(matlab using Chebyshev design of filters, and divided into two different types of design methods)
- 2007-10-12 10:54:04下载
- 积分:1
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Colormodetem
说明: 有色噪声干扰下多变量系统的辅助模型辨识方法(Colored Noise multivariable model identification method of the auxiliary system)
- 2011-03-02 09:27:26下载
- 积分:1
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chap6
先进PID控制matlab仿真源代码,典型实例具体分析说明,通俗易懂。(第六章)(Advanced PID control matlab simulation source code, more typical examples of specific instructions, clear and easy to understand.(Chapter 6))
- 2014-09-28 11:04:00下载
- 积分:1
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firnet
有限脉冲神经网络MATLAB源码,由波兰国立大学生物医药信号处理实验室提供。FIR 神经网络属于一种BP神经网络。(Finite Impulse Response (FIR) neural network models each synapse as a linear filter to provide dynamic interconnectivity. Temporal backpropagation is used to train the network in which error terms are symmetrically filtered backward through the network)
- 2020-08-04 10:18:33下载
- 积分:1