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Linear-convolution-between-two-sequences
Linear convolution between two sequences
- 2015-03-13 05:55:14下载
- 积分：1
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fuzzyPID
This is a fuzzy PID controller which combine fuzzy control and PID control(a fuzzy PID controller which combine fuzzy control and PID control)
- 2015-04-19 03:43:54下载
- 积分：1
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ding
选取windows系统自带的ding.wav信号作为分析对象，在Matlab软件平台下，利用函数wavread对音频信号进行采样，记住采样频率和采样点数，听一下原始声音sound(y, fs, bits)。
（2）音频信号的频谱分析，先画出音频信号的时域波形；然后对音频号进行快速傅里叶变换fft(y,N)，N取32768，画出信号的频谱特性，加深对频谱特性的理解。
（3）根据频谱，反演时域特性，画出时域波形。寻找幅值最大的两个频率，此频率除以fft点数在乘以采样频率就是信号的主频，即可合成信号的时域图形，听一下声音。
（4）对原音频信号进行1024点的分段付立业分析meshgrid
（5）根据主要频线合成音频，并画出时域图形，试听合成效果。
（6）采用线性插值（linspace）和傅立业反变换(fliplr, ifft)分别合成音频，并画出时域图形，试听效果。
(err)
- 2009-01-13 16:23:47下载
- 积分：1
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HHTMatlab
该文件中包含HHT（希尔伯特黄变换）的三种MATLAB程序，可以直接使用，非常方便，效果也不错。并附有相关网站。(The file contains the HHT (Hilbert-Huang Transform) of the three MATLAB program that can be used directly, very convenient with good results. Together with related sites.)
- 2010-11-07 19:40:33下载
- 积分：1
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matlab-odev
fuuzy logic examle matlab sı vı seviyesi
kontrolu
- 2012-03-25 20:56:11下载
- 积分：1
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Untitled
设计低通滤波器对信号进行滤波，对比分析滤波前后信号的频谱；(Design of low pass filter for signal filtering, comparative analysis before and after filtering the signal spectrum
)
- 2013-05-11 08:41:52下载
- 积分：1
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Main_CC_Luzhenbo
c-c方法计算重构维数m和延迟时间t的matlab的m 文件(cc method reconstruction dimension m and delay time t of the m-file matlab)
- 2011-06-20 10:43:34下载
- 积分：1
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mahaladist
Mahalanobis Distance Function for Matlab.
- 2009-06-23 22:08:44下载
- 积分：1
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pagerank
pagerank算法为google搜索排名的核心算法，我们再次用matlab实现pagerank算法(use matlab to realize pagerank algorithm)
- 2012-05-23 10:40:23下载
- 积分：1
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denoisingWavelet
Wavelet denoising
For using this code need to use signal toolbox and general toolbox in your matlab
In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size
512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of
having SNR=20dB by select the suitable value of variance for Gaussian noise formula.
Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four
levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It
means that, we should find the highest SNR value by finding the suitable value for threshold. Then we
asked to do the same process but this time using soft thresholding.
Finally for the last part of question one, we should compare the results of the obtained SNR
with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft
thresholding.
- 2013-12-11 17:34:39下载
- 积分：1
