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About Convolution: 2 Historical Developments
The document discusses convolution, which is a mathematical operation on two functions that produces a third function. Convolution describes the output of an important class of operations known as linear time-invariant systems. It is defined as the integral of the product of the two functions after one is reversed and shifted. Convolution has applications in areas like probability, statistics, image processing, and signal processing. The document provides the formal definition of convolution and discusses its properties and applications in various domains such as discrete, circular, and continuous domains. It also discusses convolution's relationship to other concepts like cross-correlation, autocorrelation, and Fourier transforms.
Detailed Information
| Author: | ['goomey'] |
|---|---|
| Publication Year: | 2016 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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