Digital Signal Processing (DSP) was, a few decades ago, a relatively obscure field associated with the mathematics of numerical analysis. As computers have become cheaper and faster, it is now ...

Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...

This course covers the basic theory of digital signal processing. Sampling theory, discrete time signals and systems, and transform methods - Z transform and Fourier series and transforms - are ...

This Design Brief introduces a computationally efficient network that computes the derivative of a discrete time-domain (digital) sequence. While recursive differentiating networks exist, this article ...

This course introduces the necessary math and tools for Industrial implementation of control and interfacing with mechatronics systems. Today's algorithms, to control machines, are coded onto digital ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...