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Scrosspectrum
- 两序列x(n)和y(n)的交叉谱分析，ol(0:m)频率，tl(0:m)周期，px(0:m)是x(n)的连续功率谱，py(0:m)是y(n)的连续功率谱，pxy(0:m)协谱，qxy(0:m)余谱，rxy(0:m)凝聚谱，cxy(0:m)位相差谱，lxy(0:m)滞后时间长度谱，rxy951(0:m)凝聚谱F-检验的95％置信上限，rxy952(0:m)凝聚谱Goodman-检验的95％置信上限，其中m=[n/2.]。 -two sequences x (n) and y (n) of the
Sdspectrum
- 具有噪音检验的一维序列x(n)的离散功率谱分析，ol(lw)频率，tl(lw)周期，sl(lw)离散功率谱，st95(lw)红噪音或白噪音谱的95 置信上限，其中lw=[n/2.]。-The discrete power spectral analysis of the one-dimensional sequence x (n) having a noise testing, 95 of the frequency of OL (LW), TL (LW) cycles, SL (LW) di
Series-Forcast
- 用于时间序列的预测，包含序列特征描述、平稳性检验、序列周期判断、季节因子提取、指数平滑预测、及ARIMA预测-Sequence features for time series prediction, including the descr iption of the stationary test, to determine the sequence cycle, seasonal factor extraction, exponential smoothing, and ARIMA fore
power_spectrum
- 用于时间序列的功率谱分析，如潮位时间序列分析周期，并会进行红白噪声的检验。-Power spectrum for time series analysis, time series analysis period waves bit, and will be red, white noise test.
ARMA
- 为建立完善的ARMA模型，进行的预处理，包括野点的分离去除，离散傅里叶变换去除周期项，以及正态性、平稳性检验-For the establishment of a perfect ARMA model, the pretreatment, including the separation of the wild point removal, discrete Fourier transform to remove the periodic term, as well as the normal