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echo_cancellation
This white paper will help for who like research to process speech and lest is echo cancell
- 2010-06-03 10:23:31下载
- 积分：1
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fullwave
MATLAB PROGRAM FOR FULL WAFE RECTIFIER
- 2014-09-20 12:24:55下载
- 积分：1
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灰色预测
利用matlab画出预测值与实际值的趋势图以及相对误差和绝对误差的走势图(Using MATLAB to draw the trend chart of predicted and actual values, and the relative error and absolute error trend chart.)
- 2021-03-28 17:49:11下载
- 积分：1
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ESPRIT
说明： 基于旋转不变技术的信号参数估计”,同样的，和Musci,Root-Music算法一样，这类基于相关矩阵特征分解的信号频率估计方法(Signal parameter estimation based on rotation invariance technology ", similarly, like music and root music algorithms, this kind of signal frequency estimation method based on correlation matrix eigendecomposition)
- 2021-03-14 16:21:10下载
- 积分：1
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Wavelet-maxima-reconstruction
用来进行小波分析中寻找极大值线且用极大值来进行信号的重建(It can help you find the wave maxline and it can use maxnumber reconstructure the sign)
- 2013-12-20 15:42:23下载
- 积分：1
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irr_predict_bp
光伏发电功率主要受太阳辐照度影响，所以准确预测太阳辐照度对光伏功率预测十分重要。程序采用小波分解先对辐照度数据进行分解，然后再用bp神经网络对分解的辐照度数据分别预测，再组合作为最后的预测结果。(Photovoltaic power generation is mainly affected by solar irradiance, so accurate prediction of solar irradiance is very important for photovoltaic power prediction. The program uses wavelet decomposition to decompose the irradiance data, then uses BP neural network to predict the decomposed irradiance data separately, and then combines them as the final prediction result.)
- 2020-08-02 20:08:34下载
- 积分：1
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Monte-Carlo
说明： 蒙特卡洛排队法,三个服务员 排队问题
Monte Carlo (Line Monte Carlo method, the three waiters queue problem)
- 2011-02-22 23:55:12下载
- 积分：1
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plss1d
PLSAMA MATERIAL PROGRAME
- 2011-05-10 15:27:13下载
- 积分：1
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SCSToolboxV2
将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse
and compressible signals based on randomized dimensionality reduction. To recover a signal from its
compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or
frame that agrees with the measurements. A great many applications feature smooth or modulated signals
that are frequency sparse and can be modeled as a superposition of a small number of sinusoids.
Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the
sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery
performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery
algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a
signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)
- 2012-06-29 10:10:42下载
- 积分：1
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single_tank
single tank model in matlab
- 2013-01-15 13:49:21下载
- 积分：1
