Automatic data mapping of signal processing applications - IEEE Xplore
ieeexplore.ieee.org › document
This paper presents a technique to map automatically a complete digital signal processing (DSP) application onto a parallel machine with distributed memory.
This paper presents a technique to map automatically a complete digital signal processing. (DSP) application onto a parallel machine with distributed memory ...
This paper presents a technique to map automatically a complete digital signal processing (DSP) application onto a parallel machine with distributed memory.
This paper presents a technique to map automatically a complete digital signal processing (DSP) application onto a parallel machine with distributed memory.
This paper presents a technique to map automatically a complete digital signal processing (DSP) application onto a parallel machine with distributed memory.
Aug 16, 2024 · The framework is built on top of an existing open programming model, OpenVX, but uses a novel algorithm for identifying which memory structures ...
Feb 22, 2024 · Automated data mapping is a software-driven process that connects data fields across different databases or datasets to streamline data ...
Missing: signal | Show results with:signal
People also ask
What are the applications of signal processing?
What are the examples of signal processing algorithms?
What is data signal processing?
What are the applications of digital signal processing DSP?
Jun 27, 2024 · Experience the future of data activation with Twilio Segment's Suggested Mappings, where AI generates complex mappings in seconds, ...
This paper focuses on detecting and tracking maneuvering weak targets in the range–Doppler (RD) plane with the track-before-detect (TBD) algorithm based on ...
In this thesis, we describe a program that generates efficient parallel code for linearly connected, distributed-memory, MIMD machines.