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rectifierwithspwm3phase
MATLAB simulation of 3-phase PWM rectifier. Sine PWM is used as modulation technique. Modulation index is 0.8.
- 2014-01-10 20:11:26下载
- 积分:1
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kalman
一个kalman滤波的仿真程序,仿真的是雷达探测飞机的飞行轨迹,里面的word文档说的比较详细了。(A kalman filter simulation procedures, simulation of the plane are radar flight path, inside the word document that has more detailed.)
- 2009-03-21 22:16:15下载
- 积分:1
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conversion
极化SAR矩阵的相互转换的程序,包含s、k、c、t矩阵的转换(The conversion of Pol-SAR matrixes,including s,k,c,t matrixes)
- 2013-11-29 09:31:04下载
- 积分:1
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harris-corner-detection
harris角点提取,是基于matlab的 大家做图像处理的都可以用的到(harris corner detection)
- 2011-05-15 15:26:29下载
- 积分:1
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MISCELLANEOUS
This software may be used for non-commercial purposes only, so long as this copyright notice is
reproduced with each such copy made.
The software in this folder focuses on the computations associated with general type-2 FLSs.
- 2013-12-19 15:52:47下载
- 积分:1
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EllipseDirectFit
椭圆拟合程序,最小二乘法拟合椭圆的算法,matlab实现。可直接运行。(ellipsedraw for ellipse fit which used in image)
- 2014-06-04 12:44:08下载
- 积分:1
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labview5
使用低通滤波器从含有噪声的信号中提取有用的正弦波
(见实验指导书 实验九 数字滤波器中的第一题)
目的:用数字滤波器从含有高频噪声的采样数据中提取正弦信号。
要求:①输入信号为一正弦波,并加入一个白噪声的干扰来模拟信号传输中的随机干扰信号(用以模拟含有噪声采样序列)。
(模拟含有噪声采样序列具体可用正弦波信号叠加高频噪声来实现,为了使滤波效果明显,本实验的高频噪声是用高频均匀分布白噪声(Uniform)通过Butterworth高通滤波器过滤生成的,高通滤波器的截止频率设为10倍输入信号频率。)
②在程序中设计一个低通巴特沃斯滤波器,以滤除信号中的噪声分量,提取输入的正弦波信号 。
③可调节信号滤波器的截止频率和阶数,可显示滤波前与滤波后的时域信号。
④给出滤波前与滤波后的频谱特性的显示。
(Using low pass filter extracting useful sine wave signal containing noise(see experiment instruction digital filter in the first nine questions)Objective: to use digital filter sampling data extract containing high frequency noise sine signal.Requirements: (1) the input signal is a sine wave, and add a white noise interference to simulate the random disturbance signal of the signal transmission (to simulate contains noise sampling sequence).(simulated the sampling sequence contains noise available sine wave signal superposition of high frequency noise, in order to make the filtering effect is obvious, the experiment of high frequency noise is Uniform distribution with high frequency white noise (Uniform) by Butterworth high-pass filter to filter generated, high-pass filter cutoff frequency set to 10 times the size of the input signal frequency.)(2) in the program design a low-pass butterworth filter, in order to filter out the noise in the signal component, extract the input sine wav)
- 2014-11-23 09:08:57下载
- 积分:1
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speechdetect
It is a matlab file performing Speech detection
- 2012-05-28 20:13:14下载
- 积分:1
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simulinkModel
几个解耦控制系统的Simulink模型,用过还行。共享一下。(Several decoupling control system Simulink model, used also OK. Sharing about.)
- 2010-07-05 22:51:57下载
- 积分:1
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K-meanCluster
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following:
Take the first k training sample as single-element clusters
Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster.
Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample.
Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)
- 2007-11-15 01:49:03下载
- 积分:1