• 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

Important Discrete Fourier Transform Properties

February 2, 2019 by 3200 Creative

Important Discrete Fourier Transform Properties

Time limit: 0

Quiz Summary

0 of 4 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 4 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
  4. 4
  1. Current
  2. Review
  3. Answered
  4. Correct
  5. Incorrect
  1. Question 1 of 4
    1. Question

    If x[n] is a real-valued signal, the DFT X[k] is real valued.

    Correct
    Incorrect
  2. Question 2 of 4
    2. Question

    Let x[n] \longleftarrow DFT;N \longrightarrow X[k]. Identify all of the following statements that are true.

    Correct
    Incorrect
  3. Question 3 of 4
    3. Question

    The DFT of a sum of signals is the sum of the DFTs of the individual signals.

    Correct
    Incorrect
  4. Question 4 of 4
    4. Question

    Shifting a signal in time causes what operation on the DFT coefficients of the signal?

    Correct
    Incorrect

Filed Under: Uncategorized

Primary Sidebar

Course Lessons

  • Discrete Fourier Transform: Sampling the Discrete-Time Fourier Transform

  • Important Discrete Fourier Transform Properties

  • Fast Fourier Transform (FFT) Algorithm

  • Introduction to Circular Convolution and Filtering with the Discrete Fourier Transform

  • Circular Convolution Property of the Discrete Fourier Transform

  • Filtering with the Discrete Fourier Transform

  • The Discrete Fourier Transform Approximation to the Fourier Transform

  • The Effect of Windowing on the Discrete Fourier Transform Approximation to the Fourier Transform

  • Windows and the Discrete-Time Fourier Transform: Trading Resolution for Dynamic Range

  • An Example of Approximating the Fourier Transform with the Discrete Fourier Transform

  • Jupyter Notebook: Explore the Windowed DFT

  • The Short-Time Fourier Transform and the Spectrogram

  • Jupyter Notebook: Explore the Spectrogram

  • A Matrix Interpretation of the Discrete Fourier Transform

  • A Matrix Interpretation of the Fast Fourier Transform Algorithm

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