Abstract: The ARM architecture has evolved significantly in recent years, particularly with the introduction and advancement of SIMD (Single Instruction, Multiple Data) technologies. These ...

Signal processing is pervasive in today’s vehicles, in applications ranging from engine controllers to entertainment systems. With annual automotive sales now at roughly 60 million units worldwide, it ...

Filter bank design forms a cornerstone of modern digital signal processing, enabling the decomposition of signals into multiple frequency subbands for both analysis and synthesis. Recent advancements ...

The field of approximate computing is fundamentally reshaping digital signal processing (DSP) by intentionally trading off some degree of numerical accuracy for significant gains in energy efficiency, ...

In the first major product announcement since the acquisition of FPGA leader Xilinx, AMD (the former Xilinx Group) announced a new Versal Premium Adaptive Compute Accelerated Platform (ACAP) with AI ...

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 ...

How analog signal engineering is performed, in broad strokes. What are the component-selection considerations for new designs? What are VFAs and how are they used? Analog signal engineers specialize ...

Wavelets provide new capabilities for analyzing real-time signals. This introductory article provides an overview and presents the basic mechanisms involved in wavelets. In many signal processing ...

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 ...

As telecommunication technologies evolve there is an on-going drive for the development of high-performance systems for radio communications. Part of that evolution involves implementing components in ...

The software platform, NeuroKey, interfaces with multiple brain signal acquisition sources and devices, extending the reach of brain-computer interface applications GENEVA & SALT LAKE CITY--(BUSINESS ...

Signal Enhancement: An acoustic-driven signal enhancement approach based on NeRF acoustic field modeling and nested generative networks supplements missing or incomplete EEG data through acoustic ...