As “open source” C/C++ algorithms become an increasingly popular alternative to royalty-based code in embedded processing applications, they bring new technical challenges. Foremost among these is how ...
System developers are obtaining more and more of their signal processing software from outside sources, making off-the-shelf software building blocks a vitally important element of the software ...
The growth of data intensive applications is increasing the need for wider bandwidths and more rapid processing and analysis of data for 5G, 6G, Wi-Fi 7 & 8, radar, signal intelligence, and other ...
This week, Teledyne FLIR, a subsidiary of Teledyne Technologies, unveiled the inaugural version of its cutting-edge Prism ISP—a sophisticated Image Signal Processing software development kit (SDK) ...
Editor’s Note: This is the second article in a three-part series about software defined radios in GPS/GNSS simulators. Part 1: About GPS and various techniques that are used to advance signal ...
Dr. Clifford commented, “I have spent the majority of my academic career developing innovative signal processing approaches which lend themselves to fetal and maternal monitoring. Having participated ...
Small or embedded systems often require a delicate measurement in the presence of high noise or interference. Without fancy filtering hardware, high-speed processing, or digital signal processing, it ...
In this video, Wes Armour from the Oxford eResearch Centre discusses the role of GPUs in processing large amounts of astronomical data collected by the Square Kilometre Array and how CUDA is the best ...
What signal-processing techniques are available? How do the different signal-processing techniques work? Tips on choosing the right signal-processing technique for your application. Noise is all ...
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