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用小波神经网络来对时间序列进行预测，其中有四个m文件-wavelet neural network to forecast the time series, which document 4 m
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A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of discrete time series. Noother wavelet package is necessary -- everything is contained in this archive. The C-code computes the DWT and maximal overlap
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使用小波熵法对电力负荷时间序列进行预测。-using wavelet entropy method of load time series prediction.
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自己编写的比较全面的故障诊断matlab函数程序，包括统计法、时域法、时间序列法、频谱及功率普密度函数、小波分析法程序中有详细的说明。-their preparation of a more comprehensive fault diagnosis Matlab function procedures, including statistics, time domain, time series, and power spectral density function Pronk, wavel
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随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度-with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance
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一个小波网络的源程序，用vc编写，能够实现对时间序列数据的训练预测-a wavelet network source, using vc prepared to achieve the right time series data Training forecast
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WMTSA toolbox is an implemenation for MATLAB of the wavelet methods for
time series analysis techniques presented in:
Percival, D. B. and A. T. Walden (2000) Wavelet Methods for
Time Series Analysis. Cambridge: Cambridge University Press.
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matlab 小波分析 小波重构，主要用于时间序列分析,matlab wavelet analysis wavelet reconstruction, mainly for time series analysis
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基于小波神经网络的时间序列预测的短时交通流量预测的matlab源程序与数据-Based on wavelet neural network time series forecasting short-term traffic flow prediction matlab source code and data
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计算时间序列的快速傅里叶变换并画出时域和频域图，之前进行小波降噪。-Calculate the time series and fast Fourier transform time-domain and frequency domain plot diagram, before wavelet decomposition.
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毕业用的时间序列混沌分析，里面吧包含相空间重构，李雅普诺夫指数求取，小波去噪-Graduated with a chaotic time series analysis, which it contains the phase space reconstruction, Lyapunov exponent for wavelet denoising, etc.
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利用离散小波变换在一维时间序列上进行多尺度变换-The use of discrete wavelet transform in one-dimensional time series on the multi-scale transformation
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随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性-With the new mathematical tools of wavelet analysis into practical load forecasting model based on the performance of NN provides a theoretical basis
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一个多输入多输出小波网络的源程序，用matlab编写，能够实现对时间序列数据的训练预测-A multi-input multi-output wavelet network' s source code, written with matlab, can be achieved on the training time series data forecasting
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相空间重构中嵌入维数和延迟时间的选择关系到非线性时间序列重构的质量，介绍了小波变换方法确定重构中的两个参数-Reconstruction of phase space embedding dimension and delay time related to the choice of the quality of reconstruction of nonlinear time series, introduces the wavelet transform method to determi
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对于给定的结构振动响应数据（时间序列信号），
该程序可以分解成多个订单这些响应信号
小波子信号，然后计算出分信号能量spectum。
-For a given structural vibration response data (time series), the program can be decomposed into multiple sub-orders for the response signal wavelet signal, and then calculate
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阐述了GPS坐标时间序列分析的原理和方法，包括线性拟合、相关函数法、AR（P）模型预测、功率谱、小波谱以及小波熵，通过仿真实验验证了各种方法的优点。-2. The theory and methods of GPS coordinate time series analysis are expounded, including linear fitting, correlation function, AR (P) model prediction, power spectrum, wavele
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Matlab用小波神经网络变换对时间序列信号进行预测-Matlab neural network with wavelet transform to predict the time series signal
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一维，小波变换，算法，对离散时间序列进行分析。(One dimension, wavelet transform and algorithm are used to analyze the discrete time series.)
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可以计算两个时间序列的在不同时段，不同周期上的相关性，以及超前滞后关系(We can calculate the correlation between two time series in different periods, different periods, and lead lag relations.)
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