Understanding the Difference Between Continuous-Time and Discrete-Time Signals in Signal Processing

When it comes to signal processing, the difference between continuous-time and discrete-time signals lies in the way they are represented and processed.

Continuous-Time Signals:

In continuous-time signal processing, signals are defined and measured over a continuous range of time. These signals have values at every point in time within a given interval, making them continuous and analog in nature.

Discrete-Time Signals:

On the other hand, discrete-time signals are defined and processed at specific discrete points in time. These signals have values at distinct time instances, often separated by a fixed interval, making them discrete and digital in nature.

One key distinction between the two types of signals is how they are sampled - continuous-time signals are sampled continuously, while discrete-time signals are sampled at discrete intervals.

Focus Keyword: Signal Processing