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对于不可读的超声RF时间序列的可视化成像，并做出一些变换(For non readable ultrasound, RF time series are visualized imaged and some transformations are made)
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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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奇异谱分析是近年来兴起的一种研究非线性时间序列数据的强大的方法。它根据所观测到的时间序列构造出轨迹矩阵，并对轨迹矩阵进行分解、重构，从而提取出代表原时间序列不同成分的信号，如长期趋势信号、周期信号、噪声信号等，从而对时间序列的结构进行分析，并可进一步预测。(Singular spectrum analysis is a powerful method to study nonlinear time series data in recent years. According to the tim
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产生Rossler混沌时间序列的matlab程序,不错的源码(Matlab Rossler chaotic time series, a good source)
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Complex of three-point Gauss-lengend the Formula pi, Correlation diagram shown in detail the time domain and frequency domain, Time series data analysis Mellin transform tool.
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时间序列一个样例，time series analysis sample(time series analysis sample)
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Automatic identification in the matlab environment the size of the connected area, Time series data analysis Mellin transform tool, Simulation of the effect is very good.
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Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Time series data analysis Mellin transform tool, Three-phase photovoltaic inverter and network simulation.
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time series predict of LMT data by BP
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不同时间序列信号的滑动相关性分析，matlab实现，成图。(different time series data analysis with sliding correlection method.)
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使用matlat实现时间序列数据的Mann-Kendall趋势分析(using method of Mann-Kendall to analyze the trend of time series data)
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Time series data analysis Mellin transform tool, K-means clustering algorithm based on the PSO, Prediction Error Method for Parameter Identification - the idea of relaxation.
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MATLAB在时间序列建模预测及程序代码(MATLAB modeling, prediction and program code in time series)
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Tisean - time series codes
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MATLAB中对于时间序列分析的一点总结(A summary of time series analysis in MATLAB)
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求一维时间序列的样本熵（Sample Entropy）值，包含
计算时间序列样本熵值的程序 ：SampEn.m
调用SampEn的例程 SampEn_test
和测试数据数据 data
测试结果为 0.1736(calculate the sample entropy of one dimensional time series)
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Detrended fluctuation for time series data
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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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读取NCEP再分析分级的nc数据，可以批量读取一年的数据，绘制时间序列(Read NCEP, analyze and classify the NC data, you can read a year of data in batches, draw the time series)
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基于时间序列的ARMA预测模型matlab实例编程(Matlab example programming of ARMA prediction model based on time series)
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