Discrete-time signal processing

Discrete-time signal processing involves analyzing and manipulating signals that are represented as sequences of individual data points taken at specific time intervals, rather than continuous signals. Think of it like a series of snapshots or frames recording information at fixed moments—like frames from a video or notes in a melody played at regular beats. This approach allows engineers to analyze, filter, and interpret data efficiently using digital computers, making it essential for modern technology such as audio processing, communications, and image analysis. It transforms real-world signals into digital form for precise processing and improved performance.