搜索资源列表
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保证准确无误，是学习通信的好帮手，时间序列数据分析中的梅林变换工具，关于小波的matlab复合分析。- Ensure accurate communication is learning a good helper, Time series data analysis Mellin transform tool, Matlab wavelet analysis on complex.
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采用了小波去噪的思想，包括回归分析和概率统计，大学数值分析算法，应用小区域方差对比，程序简单，有循环检测，周期性检测，时间序列数据分析中的梅林变换工具。
- Using wavelet denoising thought, Including regression analysis and probability and statistics, University of numerical analysis algorithms, Application of small area var
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小波神经网络的时间序列预测-短时交通流量预测-Time series prediction of short term traffic flow forecasting based on Wavelet Neural Network
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小波包分析提取振动信号中的特征频率，时间序列数据分析中的梅林变换工具，课程设计时编写的matlab程序代码。- Wavelet packet analysis to extract vibration signal characteristic frequency, Time series data analysis Mellin transform tool, Course designed to prepare the matlab program code.
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采用了小波去噪的思想，包括回归分析和概率统计，大学数值分析算法，应用小区域方差对比，程序简单，有循环检测，周期性检测，时间序列数据分析中的梅林变换工具。
- Using wavelet denoising thought, Including regression analysis and probability and statistics, University of numerical analysis algorithms, Application of small area var
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小波包分析提取振动信号中的特征频率，给出接收信号眼图及系统仿真误码率，时间序列数据分析中的梅林变换工具。- Wavelet packet analysis to extract vibration signal characteristic frequency, The received signal is given eye and BER simulation systems, Time series data analysis Mellin transform tool.
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小波神经网络的时间序列预测——短时交通流量预测-Wavelet neural network time series prediction of short-term traffic flow forecasting
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It draws on principal component analysis algorithm (PCA), matlab wavelet analysis program, Time series data analysis Mellin transform tool.
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时间序列根据小波熵算法进行分段，以达到降维的目的(The time series is segmented according to the wavelet entropy algorithm)
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Gabor wavelet transform and PCA face recognition code, Time series data analysis Mellin transform tool, Multi-machine power system simulation and flow calculation.
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Pattern Recognition bayes discriminant analysis algorithm, Using wavelet denoising thought, Time series data analysis Mellin transform tool.
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You can get a very accurate amplitude, frequency, phase estimation, Matlab wavelet analysis on complex, Time series data analysis Mellin transform tool.
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Fourier analysis and wavelet analysis have often been used in time series analysis. Fourier analysis can be used to detect periodic components that have sinusoidal shape. However, it might be misleading when the periodic components are not sinusoidal
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该方法的关键是经验模式分解，它能使复杂信号分解为有限个本征模函数（Intrinsic Mode Function，简称IMF），所分解出来的各IMF分量包含了原信号的不同时间尺度的局部特征信号。经验模态分解法能使非平稳数据进行平稳化处理，然后进行希尔伯特变换获得时频谱图，得到有物理意义的频率。与短时傅立叶变换、小波分解等方法相比，这种方法是直观的、直接的、后验的和自适应的，因为基函数是由数据本身所分解得到。由于分解是基于信号序列时间尺度的局部特性，因此具有自适应性。(The key of thi
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利用小波分析对时间序列进行分解，提出主要变化模式，进行重构(The wavelet analysis is used to decompose the time series, and the main change modes are put forward to reconstruct the time series)
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短时交通流量预测,基于小波神经网络的时间序列预测(Short-term traffic flow prediction based on time series prediction of wavelet neural networkc flow forecasting)
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小波神经网络的时间序列预测——短时交通流量预测，含源程序和数据(Time Series Prediction Based on Wavelet Neural Network - Short-term Traffic Flow Forecasting)
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小波分析，用于时间序列的周期性分析，更换函数即可使用(Wavelet analysis is used for periodic analysis of time series, and can be used to replace functions.)
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小波神经网络的时间序列预测——短时交通流量预测(Prediction of time series based on Wavelet Neural Network -- short term traffic flow prediction)
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一个关于小波神经网络的时间序列预测模型，完整可运行的代码(A Time Series Prediction Model of Wavelet Neural Network, Complete Running Code)
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