Discrete-Time Signal-Processing in 2020

Discrete-Time Signal-Processing

Signal Processing is an area of science as well as technology, which is actually playing an imperative role in our digital lives. It has found applications in almost every field of engineering, due to the synthesis, analysis, and processing of signals in time-, frequency- and spatial domain.

Digital-Signal-Processing Discrete-Time Signal-Processing has emerged rapidly due to the noteworthy advances in digital computer technology and VLSI technology. It is the processing of digitized discrete-time sampled signals. However, the discrete-time signal processing is for the sampled signals defined only at discrete-points in time (which are quantized in time only, but not in magnitude).

DSP is virtually the backbone of today’s information technology, such as digital communication and wireless communication, through the concepts of the mathematical theory of communication. Therefore, the subject of discrete-time signal processing constitutes an important part of communication and computer engineering.

Its utility to analyze the vital characteristics of signals and systems in time- and frequency-domain makes it an inevitable module of engineering practice. These lecture-notes address the representation, analysis, processing, and design of various discrete-time signals and systems (filters), in time- as well as frequency-domain.

>