Howtosignalprocessing
- Why the frequency domain analysis is important in signals and system?
- What is time domain and frequency domain analysis?
- Why do we convert time domain to frequency domain?
- How do you plot amplitude and phase spectrum?
Why the frequency domain analysis is important in signals and system?
The frequency domain representation of a signal allows you to observe several characteristics of the signal that are either not easy to see, or not visible at all when you look at the signal in the time domain. For instance, frequency-domain analysis becomes useful when you are looking for cyclic behavior of a signal.
What is time domain and frequency domain analysis?
Time-domain and frequency-domain analysis commands let you compute and visualize SISO and MIMO system responses such as Bode plots, Nichols plots, step responses, and impulse responses. You can also extract system characteristics such as rise time and settling time, overshoot, and stability margins.
Why do we convert time domain to frequency domain?
For mathematical systems governed by linear differential equations, a very important class of systems with many real-world applications, converting the description of the system from the time domain to a frequency domain converts the differential equations to algebraic equations, which are much easier to solve.
How do you plot amplitude and phase spectrum?
The exponential Fourier series representation of a periodic function x(t) has amplitude coefficients Cn which are complex and can be represented by magnitude and phase. Hence, we can plot the amplitude spectrum (|Cn| versus ω) and the phase spectrum (∠Cnversusω).
