discrete-time filters

Discrete-time filters process digital signals, which are sequences of data points collected at specific time intervals. Think of them as tools that modify these sequences to enhance desired features or reduce unwanted noise. They work by applying mathematical operations to each data point based on its current and past values, allowing precise control over the signal's characteristics. Commonly used in audio processing, communications, and data analysis, discrete-time filters help clarify sound, improve signal quality, or extract relevant information, all while operating on digital data that arrives in separate, distinct steps.