Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.

New signal-processing algorithms have been shown to help mitigate the impact of turbulence in free-space optical experiments, potentially bringing 'free space' internet a step closer to reality. New ...

As processors have steadily become faster and less expensive, systems with signal processing algorithms have increasingly been implemented as software running on a processor. One of the first steps in ...

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

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

CATALOG DESCRIPTION: discrete-time random process, second-order statistics, autoregressive and moving average processes, linear prediction, Wiener filter, stochastic gradient (Least Mean Square) ...

The Hilbert transform and raised-cosine filter, staples of signal processing for decades, are no longer just textbook concepts—they are driving innovation in quantum computing, neural networks, and ...

Building ASICs and custom ICs (integrated circuits) is becoming increasingly challenging. To create successful products with long-lasting market impact, it’s essential for the critical IP to be ...