Purdue University’s online Graduate Certificate in Digital Signal Processing (DSP) provides specialized knowledge and practical skills in signal theory, programming, and algorithm development, ...

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 ...

Digital pre-compensation techniques have emerged as a pivotal tool in modern optical communication systems, addressing the challenges posed by nonlinearity and other system impairments. These methods ...

Today MathWorks announced some new MATLAB and Simulink capabilities to address algorithm-intensive wireless and multimedia applications, including RF, analog, baseband digital signal processing, audio ...

Level-crossing analog-to-digital converters (LC-ADCs) represent an innovative approach to signal digitisation that departs from conventional uniform sampling. Instead of capturing signals at fixed ...

Synthetic biologists have added high-precision analog-to-digital signal processing to the genetic circuitry of living cells. The research dramatically expands the chemical, physical and environmental ...

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 ...

In this DI, high school student Tommy Liu modifies a popular low-cost DIY oscilloscope to enhance its input noise rejection and ADC noise with anti-aliasing filtering and IIR filtering. Three ...

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 ...

The mathematician Ingrid Daubechies’ pioneering work in signal processing helped make our electronic world possible — and beat a path for women in the field. Ingrid Daubechies.Credit...Jeremy M. Lange ...

Fig 1. Density addition and subtraction can easily separate these audio channels before digitalization. Fig 2. Density multiplication can easily be used to multiply these two inputs in several ...