Lecture 4: Convolution - MIT OpenCourseWare | Discrete time signals

Lecture 4: Convolution - MIT OpenCourseWare

ocw.mit.edu

time and discrete-time signals as a linear combination of delayed impulses and the consequences for representing linear, time-invariant systems. The re-sulting representation is referred to as convolution. Later in this series of lec-tures we develop in detail the decomposition of signals as linear combina-

Time, Discrete, Signal, Mit opencourseware, Opencourseware, Convolutions, Discrete time signals

Discrete-Time FourierTransform - Pearson

www.pearsonhighered.com

to discrete-time signals x[n] obtained by sampling x(t). In the discrete-time case, the line spectrum is plotted as a function of normalized frequency ωˆ. In Chapter 6, we developed the frequency response H(ejωˆ)which is the frequency-domain representation of an FIR ﬁlter. Since an FIR ﬁlter can also be characterized in the time domain ...

Time, Discrete, Signal, Discrete time signals

Discrete-time signals and systems

web.eecs.umich.edu

2.4 c J.Fessler,May27,2004,13:10(studentversion) 2.1.2 Classication of discrete-time signals The energy of a discrete-time signal is dened as Ex 4= X1 n=1 jx[n]j2: The average power of a signal is dened as Px 4= lim N!1 1 2N +1 XN n= N jx[n]j2: If E is nite (E < 1) then x[n] is called an energy signal and P = 0. If E is innite, then P can be either nite or innite.

Time, Discrete, Signal, Discrete time signals, Discrete time

Discrete-time signals and systems

web.eecs.umich.edu

2.4 c J.Fessler,May27,2004,13:10(studentversion) 2.1.2 Classication of discrete-time signals The energy of a discrete-time signal is dened as Ex 4= X1 n=1 jx[n]j2: The average power of a signal is dened as Px 4= lim N!1 1 2N +1 XN n= N jx[n]j2: If E is nite (E < 1) then x[n] is called an energy signal and P = 0. If E is innite, then P can be either nite or innite.

System, Time, Discrete, Signal, Discrete time signals, Discrete time

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