Abstract
In a broader scope, a transformation in mathematics can broadly be defined as the operation which takes its input and “represents” it in a different form. Such a definition immediately implies preserving the essential characteristics of the input through several conservation rules or laws. In order to outline the complete input-output relationship in an abstract transformation, the input and output of the transformation should be characterized as well. Therefore, mathematically speaking, a transformation can be viewed as a special function (or a correspondence) whose input and output can be a single value or another function. In this context, signals are considered to be both input and output functions of the transformation of interest.
Original language | English |
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Title of host publication | Mathematical Foundations for Signal Processing, Communications, and Networking |
Publisher | CRC Press |
Pages | 5-33 |
Number of pages | 29 |
ISBN (Electronic) | 9781439855140 |
ISBN (Print) | 9781138072169 |
DOIs | |
Publication status | Published - 1 Jan 2017 |
Externally published | Yes |