In many contexts, processing discrete-time signal is more flexible and is often preferable to processing continuous-time signals.
在许多方面，处理离散时间信号要更加灵活些，因此比处理连续时间信号更为可取。
High frequency pulsed sounds might be used for echolocation, and low frequency time continuous signals related with communication and emotive state expression.
高频脉冲信号可能与回声定位有关，而低频连续信号可能与通信和情感表达有关。
In the control system of sampling, signal to be dealt with is the pulse sequence after sampling from the continuous time signals.
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。
Based on the state space analysis, the time series analysis method for identification of the stochastic continuous signals, proved as consistent convergence, is given.
基于状态空间分析，给出了连续随机信号建模的时间序列分析方法，并证明了参数估计的一致收敛性。
Since the decimation of discrete time signals is similar to the sampling of continuous signals, it is also studied in the thesis.
鉴于对离散信号的抽取和对连续信号的采样非常相似，本文还把研究范围拓展到了对离散信号的抽取问题。
Since the decimation of discrete time signals is similar to the sampling of continuous signals, it is also studied in the thesis.
鉴于对离散信号的抽取和对连续信号的采样非常相似，本文还把研究范围拓展到了对离散信号的抽取问题。
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