SAMPLING We live in a continuous-time world most of the signals we encounter are CT signals, e.g. x(). How do we convert them into Dt signals x[n? Sampling, taking snap shots of x(t) every Seconds

Result: Linear phase e simply a rigid shift in time, no distortion Nonlinear phase e distortion as well as shift DT

1. DTFT Properties and Examples 2. Duality in fs& ft 3. Magnitude/Phase of Transforms and Frequency Responses

Convergence Issues Synthesis equation: None. since integrating over a finite interval Analysis Equation: Need conditions analogous to CTFT, e. g

Convolution Property 0(t)=h(t)*(t)←→Y(j)=H(ju)X( where h(t)←→H(ju) A consequence of the eigenfunction property

Another(important! ) example: Periodic Impulse train n(t)=∑(t Sampling function important for sampling .2T

Department of Electrical Engineering and Computer Science 6.003: Signals and Systems-Fall 2003 LIVE Tuesday, October 14, 2003 Directions: The exam consists of 5 problems on pages 2 to 19 and work space on pages 20 and

10.2.1 稳压电源质量指标 10.2.2 工作原理 10.2.3 三端集成稳压器 10.2.4 三端集成稳压器的应用

10.1.1 单相桥式整流电路 10.1.2 滤波电路

10.0引言 10.1小功率整流滤波电路 102串联反馈式稳压电路 10.3串联开关式稳压电路 10.4直流变换型电源