Ali Zahir

TL;DR: In this paper, a real-time and resource-efficient implementation of the MUSIC algorithm on Field Programmable Gate Arrays (FPGAs) is proposed, which enables the estimation of DoA in realtime scenarios in $2\mu $ sec with 30% to 50% fewer resources as compared to existing techniques.

TL;DR: This paper presents an efficient methodology to implement FPGA-based TCAMs with significant resource savings compared to existing schemes and exploits the fracturable nature of Look Up Tables (LUTs) and the built-in slice carry-chains for simultaneous mapping of two rules and its matching logic to a single FPGAs slice.

TL;DR: FracTCAM, an efficient methodology for ternary content addressable memory (TCAM) emulation on Xilinx field-programmable gate arrays (FPGAs) by leveraging primitive architectural resources, exploits the fracturable nature of lookup table random access memories (LUTRAMs) and built-in slice flip-flops for deeper pipelining.

TL;DR: A prototype development of an automatic power changeover switch that is able to switch to the alternative power supply and switch back to the main supply when it is restored and removes the delay caused by manual switching mechanisms is presented.

TL;DR: The proposed MHMU scheme exploits the massive parallelism of FPGAs to implement many hash based matching units that use the embedded block RAM memories of the FPGA to reduce the cost of implementing TCAMs.