DFT

Question 1

is a set of mathematical function that breaks the signal into sinusoids (sine and cosine functions) of varying frequency.

Answer 1

Fourier Transform

Question 2

it is a technique that decomposes a waveform, which is a function of time, into the frequencies domain or vice-versa.

Answer 2

Fourier Transform

Question 3

cornerstone of signal and system analysis. Any signal can be represent as a sum of sinusoids.

Answer 3

requency domain analysis and Fourier transforms area

Question 4

four Fourier transforms

Answer 4

1. Fourier Series
2. Fourier Transform
3. Discrete-Time Fourier Transform
4. Discrete Fourier Transform

All of these transforms depends on the nature of signal whether it is finite or infinite-length or it is discrete or continuous-time, there is an appropriate transform to convert the signal into the frequency domain.

Question 5

The version of Fourier Transform used for discrete signal is known as

Answer 5

Discrete Fourier Transform (DFT).

Question 6

A signal can be either ———– and ———–, and it can be either periodic or aperiodic.

Answer 6

continues and discrete, periodic or aperiodic

Question 7

four categories of signals

Answer 7

1. Aperiodic-Continues
2. Periodic-Continues
3. Aperiodic-Discrete
4. Periodic-Discrete

Question 8

The Fourier series representation of a periodic discrete-time sequence is called

Answer 8

discrete Fourier series (DFS)

Question 9

is defined as the process of finding the discrete-time sequence x(n) from its frequency response X(k).

Answer 9

inverse DFT (IDFT)