17.7
Consider two discrete-time signals, each with their respective Discrete-Time Fourier Transforms DTFTs.
The signals are first multiplied by constants a and b, then combined to form a resultant signal.
Applying the DTFT to the resultant signal transforms it into a new DTFT, demonstrating the linearity property.
When a signal is delayed by a certain number of units, its DTFT experiences a phase shift proportional to the delay, known as the time-shifting property.
The frequency-shifting property occurs when a time-domain signal is multiplied by a complex exponential that shifts the signal’s frequency components.
Time reversal shows that reversing a discrete-time signal in time results in a frequency domain representation reflected about the vertical axis.
The conjugation property reveals that taking the complex conjugate of a signal results in both reflection and conjugation of its frequency components in the frequency domain.
When a signal is scaled by a factor k, it retains values only at intervals that are multiples of k.
Computing the DTFT of this signal compresses the frequency components by k, demonstrating the time scaling property.
In signal processing, Discrete-Time Fourier Transforms (DTFTs) play a critical role in analyzing discrete-time signals in the frequency domain. Variou…
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