HDL Coder Self-Guided Tutorial

버전 1.73.0 (2.26 MB) 작성자: MathWorks HDL Coder Team
Learn how to deploy an algorithm to an FPGA using MATLAB and Simulink.
4.9
(10)
다운로드 수: 7K
업데이트 날짜: 2024/6/17
GitHub에서 라이선스 보기

편집자 메모: This file was selected as MATLAB Central Pick of the Week

This tutorial will guide you through the steps necessary to implement a MATLAB algorithm in FPGA hardware, including:
* Create a streaming version of the algorithm using Simulink
* Implement the hardware architecture
* Convert the design to fixed-point
* Generate and synthesize the HDL code

인용 양식

MathWorks HDL Coder Team (2024). HDL Coder Self-Guided Tutorial (https://github.com/mathworks/HDL-Coder-Self-Guided-Tutorial/releases/tag/1.73.0), GitHub. 검색 날짜: .

MATLAB 릴리스 호환 정보
개발 환경: R2023a
R2018a에서 R2023b까지의 릴리스와 호환
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GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음

버전 게시됨 릴리스 정보
1.73.0

See release notes for this release on GitHub: https://github.com/mathworks/HDL-Coder-Self-Guided-Tutorial/releases/tag/1.73.0
1.72.0.0

See release notes for this release on GitHub: https://github.com/mathworks/HDL-Coder-Self-Guided-Tutorial/releases/tag/1.72.0
1.71.0

See release notes for this release on GitHub: https://github.com/mathworks/HDL-Coder-Self-Guided-Tutorial/releases/tag/1.71.0
1.40

Updated for R2021b. Added some tips to address common challenges.
1.35

Updating for 20a/20b GitHub release
1.34

Updated for 20a/20b
1.33

Updated for R2019b
1.3

Moved to GitHub repository
1.2

Updated for R2019a
1.1.1

Minor edits to two slides
1.1.0

Updated for R2018b
1.0.0

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