连续时间信号

连续时间信号的采样与重构及其实现

Realization of continuous-time signal sampling and reconstruction

文中根据DFT与CFT的关系式，具体分析了不同频率的连续时间信号的频率和复振幅的计算方法。

In this paper , based on the expression of DFT and CFT , a method is proposed for precisely estimating the spectrum of the continuous time signal in the different frequency .

用MATLAB计算连续时间信号的卷积

Convolution of Continuous - time Signals Using MATLAB

用DFT实现连续时间信号频率和复振幅的计算

Account the Frequency and Complex Amplitude of the Continue Time Signal with DFT

这就取决于电子系统的前端部件-ADC的快速发展（ADC把连续时间信号转换成离散时间、二进制编码的数字信号，便于后级精确的高速数字信号处理）。

Their successful use attribute to the rapid development of ADC ( It can convert continuous signal to digital signal , which is discrete and binary system . At the same time , the output of ADC is convenient for accurate and high speed digital signal process ) .

为得到连续时间信号的频谱特征，采用高速A/D卡PCI-9812对其进行采样，再运用离散傅立叶变换进行频谱分析。

To get the spectrum of continuous - time signals , high speed A / D card of PCI - 9812 is used for sampling , discrete - Fourier - transform is used for the spectrum analysis .

采样控制系统中，所处理的信号是连续时间信号经采样后所得到的脉冲序列。

In the control system of sampling , signal to be dealt with is the pulse sequence after sampling from the continuous time signals .

以几个典型的自治振荡电路为例，对连续时间混沌信号的产生方法进行了讨论；

Taking typical autonomous circuits as examples , firstly study the generating methods of the chaotic signals .

然后从故障检测的角度引入算子，定量考察连续时间未知输入信号和故障信号对离散时间残差信号的影响。

Then an operator is introduced from the viewpoint of fault detection to describe quantitatively the influence of the continuous-time unknown inputs and faults on the discrete-time residuals .

在许多测试领域中需要连续长时间的信号采集，实现实时监控信号及事后信号回放和分析。

In many testing and controlling fields , a long time and continuous data acquisition is in great need to realize real-time monitoring , playback and analysis after signal gathering .

基于非线性状态反馈线性化、最优控制及李雅普诺夫方法，对连续时间标量混沌信号的鲁棒同步控制进行了研究。

This paper is concerned with the robust synchronization control problem of continuous time scalar chaotic signal . It is based on the nonlinear state feedback linearization , optional control and Lyapunov method .

本文利用δ信号的移位性质，详细研究了离散时间和连续时间移位奇异信号，得出了一些重要的结论。

In this paper , the shifting singularity signals corresponding to discrete time and continuous time respectively are studied in detail by means of the shifting property of the δ signal , and some important conclusions are obtained .