Evolution Of Equalization Techniques In High-Speed SerDes For Extended Reaches

The relentless demand for massive amounts of data is accelerating the pace of high-performance computing (HPC) within the high-speed Ethernet realm. This escalation, in turn, intensified the complexity associated with designing networking SoCs, including switches, NICs, retimers, and pluggable modules. Such growth is accelerating the demand for bandwidth hungry applications to transition from 4... » read more

Automated HW/SW Co-Design Of DSP Systems Composed Of Processors And Hardware Accelerators

Seemingly overnight, data acquisition and digital signal processing have gone from a hidden background function in special purpose-built subsystems, such as PC graphics cards and airborne missile guidance systems, to the foreground in the form of in-ear IoT devices, smartphones, and autonomous vehicles. As the number of smart data-acquisition devices grows, so does the amount of data requiring ... » read more

Why Data-Over-Sound Is An Integral Part Of Any IoT Engineer’s Toolbox

Data-over-sound technology such as Chirp presents a compelling solution for many device-to-device connectivity applications, particularly for use cases that require frictionless, low cost connectivity with nearby devices. Download this white paper to: Understand the fundamental concepts and benefits of data-over-sound connectivity Explore the key application areas within the Internet... » read more

Developing A Real-Time SDR System

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 software functions that had traditionally been implemented in hardware. Software-defined radio (SDR) is a prime example. Significant amounts of signal processing have been handed over to the ge... » read more

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