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 ...

The distinction between analog and digital signals is very simple, but it can still be a challenge to wrap one's mind around the concepts that define the two systems. Just when you think you've got it ...

Design linear discrete-time systems and filters and analyze their behavior. Represent continuous-time signals and linear systems in discrete time, so that such signals can be recovered in continuous ...

Comprehensive introduction to analysis of continuous and discrete-time signals and systems. Linear time-invariant systems, convolution; Fourier series representations of periodic signals; Continuous ...

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 ...

Digital Signal Processing (DSP) represents a cornerstone in modern electronics, enabling the efficient manipulation and analysis of analog signals converted into digital form. Time-to-Digital ...

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 ...

Ever wondered how Digital Signal Processing (DSP) works? Digital Signal Processing is everywhere. It's in your TV, your phone, your in-car entertainment system, in hospitals, radar systems and ...

Every modern computer has a microprocessor in it, but not many have a digital signal processor (DSP). Since the CPU is a digital device, it clearly processes digital data, so you might wonder what 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 ...