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

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 ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

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 ...

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 ...

Digital filter design underpins modern signal processing by enabling precise shaping of signal spectra for a wide range of applications including telecommunications, audio engineering, biomedical ...

Today's warfighters and those who command them have more intelligence at their fingertips than the combined generations that preceded them. Actionable intelligence comes from an exponentially larger ...

In many low-power applications, the processor is a major contributor to the overall system energy consumption. Hence, the processor typically plays a key role in determining a product's battery life.

Nondestructive sensing and evaluation (NDS&E) has become an integral part of structural and material sensing in mechanical, ...

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 ...

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