For as long as multipliers have been implemented in silicon, DSP (digital signal processing) devices have been developed to solve problems in audio, video, communications and a variety of other ...

Sensor fusion refers to the combining of data from multiple sensors to obtain more complete and accurate results. By using the information provided by multiple sensing devices, it is possible to ...

Why are so many designers turning to FPGA implementation for DSP designs? Considering the price/performance ratio for today's high-end FPGAs, not to mention the large numbers of DSP blocks and ...

Learning Digital Signal Processing (DSP) techniques traditionally involves working through a good bit of mathematics and signal theory. To promote a hands-on approach, [Clyne] developed the DSP PAW ...

Abstract: In this paper, we argue the need for integrating the teaching of DSP algorithms with their implementation. We view this as the next step in the road of DSP education, naturally following the ...

A comprehensive guide to Hardware-Aware Algorithm Design. This repository demonstrates the journey of a signal processing algorithm from a high-level Python prototype to a hardware-constrained ...

Elixent's DFA1000 IP (intellectual-property) block can accelerate the execution of DSP code in designs of SOC (system-on-chip) ASICs using RISC-processor cores to run DSP algorithms. The start-up ...

Abstract: Mode Vector Modulation (MVM) is a new modulation format for scalable and spectrally-efficient optical interconnects employing high-sensitivity direct-detection receivers intended for ...

Using a design flow put together by Mentor Graphics and Altera, designers can implement complex DSP algorithms in high-performance FPGAs directly from ANSI C++ code. The flow, which is based on Altera ...

Synplicity has introduced its Synplify DSP software, which allows designers to implement DSP designs in FPGAs. The software also allows designs specified at the algorithmic level in the Simulink ...