Of the chief candidates for real-time signal processing, this article examines the benefits of these technologies, including ASICs, ASSPs, (application-specific signal processors), FPGAs, and RISC ...

Trxdynis, a technology company focused on advanced market analytics, today announced the successful rollout of real-time AI signal enhancements across its analytics platform, marking the completion of ...

Texas Instruments Incorporated (TI) (NASDAQ: TXN) today introduced the TMS320C6748 DSP development kit for real-time analytics applications such as fingerprint recognition and face detection, enabling ...

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 processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...

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 ...

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, ...

The market is poised for rapid growth, driven by increased defense and aerospace spending, demand for electronic warfare ...

Synthetic biologists at Rice University say they have developed the first method for observing the real-time activity of some of most common signal-processing circuits in bacteria, including deadly ...

Ever wondered how Digital Signal Processing (DSP) works? Digital Signal Processing is everywhere. It's in your TV, your phone, your in-car entertainment system, in hospitals, radar systems and ...