Skip to primary navigation
Skip to main content
Skip to primary sidebar

ALLSIGNALPROCESSING.COM

Learn signal processing online

Home
Courses
Courses
About
FAQ
My Account
Blog
News
Contact
Login
Logout
Get All Access

Frequency Domain Descriptions for Discrete Time Linear Time Invariant Systems

February 2, 2019 by 3200 Creative

Frequency Domain Descriptions for Discrete Time Linear Time Invariant Systems

Time limit: 0

Quiz Summary

0 of 3 questions completed

Questions:

1
2
3

Information

You have already completed the quiz before. Hence you can not start it again.

Quiz is loading…

You must sign in or sign up to start the quiz.

You must first complete the following:

Results

Quiz complete. Results are being recorded.

Results

0 of 3 questions answered correctly

Your time:

Time has elapsed

You have reached 0 of 0 point(s), (0)

Earned Point(s): 0 of 0, (0)
0 Essay(s) Pending (Possible Point(s): 0)

Categories

Not categorized 0%

1
2
3

Answered
Review

Question 1 of 3

1. Question
The phase response of a system shifts the phase of an input sinusoid.
- True
- False
Correct

Incorrect
Question 2 of 3

2. Question
The frequency response of a system is $H(e^{j\omega}) = 3/(1+0.5e^{-j\omega})$ . Identify the impulse response.
- $h[n] = 0.5(3)^n u[n]$
- $h[n] = -0.5(3)^n u[n]$
- $h[n] = -3(-0.5)^n u[n]$
- $h[n] = 3(-0.5)^n u[n]$
- $h[n] = 1.5(-1)^n u[n]$
Correct

Incorrect
Question 3 of 3

3. Question
A system is described by the difference equation $y[n]-0.9 y[n-2] = 3x[n] + x[n-1]$ . Find the frequency response.
- $H(e^{j\omega})= \frac{1 -0.9e^{-j2\omega} }{3+e^{-j\omega}}$
- $H(e^{j\omega})= \frac{3+e^{-j\omega}}{1 -0.9e^{-j2\omega} }$
- $H(e^{j\omega})= \frac{1+3e^{-j\omega}}{-0.9 +e^{-j2\omega} }$
- $H(e^{j\omega})= \frac{-0.9+e^{-j2\omega} }{1+3e^{-j\omega}}$
- $H(e^{j\omega})= \left(3+e^{-j\omega}\right)\left(1 -0.9e^{-j2\omega} \right)$
Correct

Incorrect

Filed Under: Uncategorized

Primary Sidebar

Course Progress

Course Lessons

The Fourier Series: Continuous-Time Periodic Signals
Square Wave Fourier Series and the Sinc Function
Fourier Series Properties
The Fourier Transform: Linking Time and Frequency Domains
Properties of the Fourier Transform
The Discrete-Time Fourier Transform
Discrete-Time Fourier Transform Properties
Fourier Transforms and Discrete-Time Fourier Transforms for Periodic Signals
Frequency-Domain Descriptions for Continuous-Time Linear Time-Invariant Systems
Frequency-Domain Descriptions for Discrete-Time Linear Time-Invariant Systems
Two-Dimensional Signal Processing: Continuous Space

Courses

Foundations
Time Domain LTI Systems
Fourier Series and Transforms
Sampling and Reconstruction
The DFT and Applications
The Z-Transform
Intro to Filter Design
IIR Filter Design
FIR Filter Design
Random Signal Characterization
Basis Representations of Signals
Estimation of Power Spectra and Coherence
Introduction to Signal Estimation and Detection Theory
MMSE Filtering and Least-Squares Problems

Copyright © 2021 ALLSIGNALPROCESSING.COM | Site Design by 3200 Creative

Terms of Service
Privacy Policy
Contact