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小波包进行信号的去噪处理
此程序是关于小波变换用于故障信号分析和处理的程序，特别适合去噪和第一类间断点的检测，适合机械波研究者参考(this procedure is used on the wavelet transform fault signal analysis and processing procedures, particularly suitable for de-noising and continuity of the first category of detection, for the reference of researchers mechanical wave)
- 2005-04-25 19:30:03下载
- 积分：1
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ACO
aco-ga for feature selection
- 2020-11-23 09:09:34下载
- 积分：1
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分析chirp信号的改进fft算法
分析chirp信号的改进fft算法，该FrFT算法是从matlab论坛中的算法，尝试后可用(Improved FFT algorithm for analyzing chirp signals)
- 2018-09-16 17:04:05下载
- 积分：1
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photo
该压缩包里面是Matlab中的图形应用时有用的源程序(The compressed packets are inside Matlab graphics applications in a useful source)
- 2009-03-11 14:47:11下载
- 积分：1
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OFDMBPSK
OFDM系统中，对信号进行BPSK调制的Matlab程序源码，经检验，可有效实现该调制方式。(OFDM system, BPSK modulation on the signal source of the Matlab program, after testing, which can effectively achieve the modulation.)
- 2007-12-22 19:42:02下载
- 积分：1
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assignment6
Simulink
to calculate the tilt and velocity error
- 2012-10-03 17:47:55下载
- 积分：1
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youyuanbihuan
说明： 此仿真实现了单位功率因数的有源逆变，也可功率因数可调。(The simulation of active power factor of the unit, also can be inverter power factor can be adjusted.
)
- 2011-03-17 14:45:48下载
- 积分：1
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voise
语音信号进行分析、处理和设计。用MATLAB做变声器的原理是通过改变输入声音频率，进而改变声音的音色、音调，使输出声音在感官上与原声音不同。变声器是借助对声音音色和音调的双重复合改变，实现输出声音的改变。通过自己发声，共振峰频率的改变是基于重采样实现的(Speech signal analysis, processing and design. MATLAB do voice-changer works by changing the input frequency of the sound, and then change the sound of the tone, pitch, so that the output audio with the original sound in different senses. Voice Changer is the use of sound timbre and tone of the dual composite changes, realize the output sound changes. Through their own sound, formant frequency change is implemented based on resampling)
- 2013-05-22 20:56:24下载
- 积分：1
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shiyan3proc
matlab实现小波变换,图象处理应用中最基础的matlab编程,希望对大家有用(matlab realization of wavelet transform, image processing applications, the most basic matlab programming, in the hope that useful)
- 2007-11-25 19:09:30下载
- 积分：1
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randgen2
randgen(mu,mu1,mu2,cov1,cov2,cov3) = Random generation of Gaussian Samples
in d-dimensions where d = 2
mu, mu1, mu2 = (x,y) coordinates(means) that the gaussian samples are centered around
cov1, cov2, cov3 are the covariance matrices and will vary changing the
shape of the distribution, example: cov = sigma^2*Identity Matrix, where sigma^2 = a scalar
N = the number of gaussian samples used are provided as user input,
A test set of N/2 and a training set of N/2 gaussian samples is also generated
Output is directed to the command window and a plot of the distributions are generated
- 2011-02-09 18:52:20下载
- 积分：1
