Answer / Priyanka Prajapati

In Digital Signal Processing (DSP), a signal is a function that varies over time, conveying information about the system it originates from. Signals can be continuous or discrete in nature, and they can be analyzed using mathematical methods.

1. Continuous-time signals: These signals vary continuously with respect to time, t, and are represented by functions of time, such as f(t). Examples include sinusoidal signals (sine waves), impulse functions, and step functions.

2. Discrete-time signals: These signals have discrete values at specific points in time, often represented by sequences {x[n]}. They can be obtained from continuous-time signals through sampling or they can be generated directly in digital systems. Examples include unit-sample delays, sinusoids, and impulse trains.

purpose of abstraction and interface

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