Week In Review: Auto, Security, Pervasive Computing


AI, machine learning Cadence says it has optimized its Tensilica HiFi digital signal processor IP to efficiently execute TensorFlow Lite for Microcontrollers, which are used in Google’s machine learning platform for edge. This means developers of AI/ML on the edge systems can now put better audio processing on edge devices with ML applications like keyword detection, audio scene detection, n... » read more

Fixed and Floating FMCW Radar Signal Processing with Tensilica DSPs


Automotive advanced driver assistance system (ADAS) applications increasingly demand radar modules with better capability and performance. These applications require sophisticated radar processing algorithms and powerful digital signal processors (DSPs) to run them. Because these embedded systems have limited power and cost budgets, the DSP’s instruction set architecture (ISA) needs to be eff... » read more

Digital Signal Processing for Frequency-Modulated Continuous Wave RADARs


RADAR, LiDAR and vision systems play a critical role in enabling advanced driver-assistance systems (ADAS) and autonomous driving (AD). The automotive ADAS markets are forecast to grow at high rates in the upcoming years, with increasing requirements and system implementation complexity. This paper provides an overview of RADAR technology as used in ADAS applications, including a summary of the... » read more