In the context of linear time-invariant (LTI) systems in electrical engineering, both the step response and the impulse response are important concepts that describe how a system behaves in response to different input signals. Let's explore their relationship:
Impulse Response (h(t)):
The impulse response of a system is the output of the system when an ideal impulse (also known as a Dirac delta function) is applied as the input. Mathematically, if the input signal is δ(t) (the Dirac delta function), then the output signal is given by the impulse response: y(t) = h(t) * δ(t), where "*" represents the convolution operation.
Step Response (s(t)):
The step response of a system is the output of the system when a unit step function (also known as a Heaviside function) is applied as the input. Mathematically, if the input signal is u(t) (the unit step function), then the output signal is given by the step response: y(t) = s(t) * u(t), where "*" represents the convolution operation.
The relationship between the impulse response and the step response is straightforward:
The step response can be obtained by integrating the impulse response with respect to time. Mathematically, if h(t) is the impulse response, then the step response s(t) is given by: s(t) = ∫[0, t] h(τ) dτ, where the integral is taken from 0 to t.
In the frequency domain, the step response is the integral of the system's frequency response over frequency. The frequency response is the Fourier transform of the impulse response.
In summary, the step response is the cumulative effect of the impulse response over time, and it describes how the system responds when a unit step input is applied. The impulse response, on the other hand, represents the system's behavior when an instantaneous impulse input is applied. The step response is obtained by integrating the impulse response, which means the step response captures the overall response of the system to a continuous change in input over time.
Keep in mind that these concepts are fundamental in the study of linear systems, and they are used to analyze and design various types of systems, including electronic circuits and control systems.