The history of digital signal processing has moved from dedicated DSP chips to FPGAs. Now Intel CPUs are handling the processing duties for some live mixing boards, aided by simple operating systems ...

Learning Digital Signal Processing (DSP) techniques traditionally involves working through a good bit of mathematics and signal theory. To promote a hands-on approach, [Clyne] developed the DSP PAW ...

Patrick Flandrin president of the association GRETSI. The notion of “signal processing” might seem like something impenetrably complex, even to scientists. However, the fact is that most of them have ...

This file type includes high resolution graphics and schematics when applicable. Digital signal processing brings DSPs (digital signal processors) to mind. The DSP algorithms need I/O so they tend to ...

Applications range from medical imaging to autonomous vehicle technology. Learn data manipulation techniques to improve signal or image fidelity. Understand the theory of probability and stochastic ...

The quadrature processing techniques employed in spectrum analysis,computer graphics, and digital communications routinely require highspeed determination of the magnitude of a complex number (vector ...

Modulation is fundamental to electronic communications. The modulating signal might be analog in nature (voice or music) or digital bit streams. Most modern communication systems are digital, using ...

Pulse oximeters, a type of photoplethysmography (PPG) sensor, are electronic devices that measure a person’s blood-oxygen saturation (SpO 2) and heart-rate (HR) levels. Since their inception in the ...

The analysis of RF and microwave signals in the frequency domain used to be the forte of the spectrum analyzer, but now it’s become a choice between signal analyzers and digital oscilloscopes. How did ...

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, ...