We give multifractal detrended fluctuation analysis and Hlder analysis of discrete time series and use them to study the temperature time series fluctuations.
给出了离散时间序列多重分形除趋势涨落分析方法和霍尔德指数的计算方法，并用它们研究了气温时间序列。
This paper describes the need to transform the continuous periodic signal in time domain to the discrete signal in frequency domain by using Fourier Series (FS).
讨论了利用傅里叶级数把连续周期时域信号转换成离散的频域信号的必要性。
This paper proved that a frequency stochastic sequence obtained from a stationarily correlated time series by using discrete Fourier transform is orthogonal.
本文证明了时间域内的平稳相关序列经离散傅里叶变换之后，听得到的是频域内的正交随机序列。
As one of the branches of statistics, time series analysis focuses on the variation characters and trend of discrete ordered data series mainly.
时间序列分析是统计学的分支之一，它的研究对象是离散有序数列的变化特征和变化趋势。
This paper presents the time domain analysis of three orders discrete system by power series, which can study not only the time invariant system, but also the time variant system.
利用幂级数的方法，对三阶线性离散系统进行时域分析，其方法不仅可以研究线性非时变离散系统，而且还可以研究线性时变离散系统。
By this method, for a real excitation discrete signal or a simulating signal, the response time series of a non-linear system can be easily obtained based on the Z-transform technique.
通过这种方法能比较容易地获得非线性系统对于实激励离散信号或模拟信号的响应时间序列。
The lab has ten experiments, covering time and frequency domain analysis of linear system, root locus and series compensation of linear system, analysis of discrete and nonlinear system.
本虚拟实验室共设计了十个实验，内容涉及线性系统时域分析、线性系统的根轨迹、线性系统频域分析、线性系统串联校正、离散系统分析和非线性系统分析。
The E-transform is a new series transform. It is an important tool for studying linear time-variant discrete systems.
变换是一种新的级数变换，为研究线性时变离散系统的重要工具。
Firstly, the distance and time are divided into a series of discrete nodes with evenly spaced increments.
首先用等间距步长将距离和时间分为一系列的离 散节点。
Firstly, the distance and time are divided into a series of discrete nodes with evenly spaced increments.
首先用等间距步长将距离和时间分为一系列的离 散节点。
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