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DL
说明： deep learning 的两篇学习资料deep learning 的两篇学习资料(paper of deep learning)
- 2015-03-17 16:17:50下载
- 积分：1
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Kmeans_demo
说明： //实现K-means聚类算法
//包括main.m、distance.m、randCent.m、kMeans.m等四个matlab文件
//以及测试数据集(//Implementation of K-means clustering algorithm
// including four matlab files: main.m, distance.m, randCent.m, kMeans.m, etc.
//And test data sets)
- 2020-04-13 06:31:38下载
- 积分：1
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wavelet-in-signal-processing
说明： 小波变换在信号处理中的应用,包括分解，去噪，以及检测传感器故障等(Wavelet transform in signal processing applications, including decomposition, denoising, and detection of sensor failure, etc.)
- 2008-09-17 11:39:53下载
- 积分：1
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ffffF1
说明： 空间谱估计的MUSIC算法的MATLAB仿真程序，请多多指教(space MUSIC spectral estimation algorithm MATLAB simulation program, the exhibitions)
- 2006-04-24 14:31:26下载
- 积分：1
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Shunt_Active_Pwr_Fltr
Simulink model of shunt active power filter.
- 2014-11-10 09:43:01下载
- 积分：1
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partial_transmit_sequence
THIS IS THE MATLAB CODE FOR PTS TO REDUCE PAPR
- 2014-02-25 11:49:03下载
- 积分：1
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r_8wo5mq
用MATLAB编写的语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、 LmCPhB函数、短时幅度差、倒谱、复倒谱 lnRrOUM系数计等，是我多年调试通过的程序
(MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,LmCPhB function, short-term amplitude difference, cepstrum, cepstral lnRrOUM coefficient meter, etc. , is a program debugging through my years of
)
- 2016-01-12 13:13:50下载
- 积分：1
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correlation
correlation similarity measure
- 2010-06-01 01:58:22下载
- 积分：1
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Particle-filter
粒子滤波算法，通过此程序，可以成功的仿真出粒子滤波。在滤波过程中粒子滤波可以处理任意形式的概率，而不像Kalman滤波只能处理高斯分布的概率问题。他的一大优势也在于此。 (Particle filter, through this program, you can emulate the success of the particle filter. In the process of filtering particle filter can handle any form of probabilities, rather than the Kalman filter can only handle a Gaussian probability distribution. He s a big advantage this.)
- 2014-11-13 21:18:53下载
- 积分：1
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Matlab-File-Exchange-Center
实现希尔伯特-黄变换的功能，并带有一段测试数据。希尔伯特-黄变换是使用EMD分解将信号分解为本征模态函数（IMF），然后求得IMF分量的瞬时频率。其对于非稳态和非线性信号具有优良的效果。(The function plot_hht is a realization of the Hilbert-Huang transform (HHT). The HHT decomposes a signal into intrinsic mode functions (or IMFs), and obtain the instantaneous frequency data. It is designed to work well for data that are nonstationary and nonlinear.)
- 2013-12-25 22:22:50下载
- 积分：1
