• 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 Transformations for Continuous Time Systems

February 2, 2019 by 3200 Creative

Frequency Transformations for Continuous Time Systems

Time limit: 0

Quiz Summary

0 of 3 Questions completed

Questions:

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

  1. Not categorized 0%
  1. 1
  2. 2
  3. 3
  1. Current
  2. Review
  3. Answered
  4. Correct
  5. Incorrect
  1. Question 1 of 3
    1. Question

    A frequency transformation is used to convert a continuous-time lowpass filter to a discrete-time lowpass filter.

    Correct
    Incorrect
  2. Question 2 of 3
    2. Question

    The lowpass to lowpass frequency transformation effectively scales the frequency axis.

    Correct
    Incorrect
  3. Question 3 of 3
    3. Question

    Which frequency transformation doubles the order of the filter?

    Correct
    Incorrect

Filed Under: Uncategorized

Primary Sidebar

Course Lessons

  • IIR Filter Design Procedure

  • Analog Filters Used for IIR Filter Design

  • Continuous-Time Butterworth Filters

  • Continuous-Time Chebyshev and Elliptic Filters

  • Frequency Transformations for Continuous-Time Systems

  • The Bilinear Transform

  • IIR Filter Examples Designed Using MATLAB

  • Poor IIR Filter Designs: Don’t Make These Mistakes

  • Jupyter Notebook: IIR Filter Design Examples

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 © 2023 ALLSIGNALPROCESSING.COM | Site Design by 3200 Creative

  • Terms of Service
  • Privacy Policy
  • Contact