Abstract: This chapter contains sections titled: Introduction, The Convolution Theorem for Z-Transforms, Convolution and General Linear Time-Invariant Systems, Algebraic Properties of the General ...

Abstract: Data-driven process monitoring has benefited from the development and application of kernel transformations, especially when various types of nonlinearity exist in the data. However, when ...

This code example demonstrates the convolution theorem with the use of the Complex Fast Fourier Transform (FFT), complex-by-complex multiplication, and support functions, which are part of the ...

This is a preview. Log in through your library . Abstract The semi-discrete convolution with the box spline is an important tool in approximation theory. We give a formula for the difference between ...

A convolution method is used to solve a tolerance stack-up problem. The input random variables can be of any form. A complete frequency distribution of the possible outcomes is generated in the ...