离散时间信号

离散时间信号和离散时间系统是数字信号处理理论的基础，也和滤波器组理论有着密切的关系。

Discrete time signal and discrete time system are not only the foundation of the digital signal processing theory , but also have close relationship with filter banks theory .

针对离散时间信号，用四阶龙格-库塔方法实现本文所提出的新算法，证明离散算法的收敛性和稳定性。推导了离散算法的计算公式，通过了仿真验证公式的正确性。

The new algorithm can be implemented by forth order Runge-Kutta method for discrete time signal with the convergence and stability verified .

数字信号处理的各项研究正经历高速发展。目前已经从离散时间信号等基本理论发展到通信行业、语音、声学、雷达和图像等许多应用领域。

The field of digital signal processing has spurred developments from basic theory of discrete-time signals to diverse applications in telecommunications , speech and acoustics , radar , and video .

本论文还对离散时间信号小波变换的尺度谱和尺度-小波能量谱定义进行了论证，并证明了离散时间信号经过离散小波变换后它的能量等于所有系数的模的平方和。

This paper also deduced the definitions of the scale spectrum and time-wavelet energy spectrum , and proved the energy of the signals after wavelet transformed was equal to the square sum of the coefficients ' modular .

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 .

基于低功耗设计考虑，调制器采用有源-无源混合型环路滤波器，并通过离散时间微分技术移除信号求和模块。

Upon the low power design consideration , a hybrid active-passive loop filter is employed and the signal summing block is removed by using discrete-time differentiation technique .

离散子波变换将离散时间信号分解为一系列分辨率下的离散逼近和离散细节。

The discrete wavelet transform decomposes a discrete time signal into an approximation sequence and a detail sequence at each level of resolution .