Skip to content
MathWorks - Mobile View
  • MathWorks 계정에 로그인합니다.MathWorks 계정에 로그인합니다.
  • Access your MathWorks Account
    • 내 계정
    • 나의 커뮤니티 프로필
    • 라이선스를 계정에 연결
    • 로그아웃
  • 제품
  • 솔루션
  • 아카데미아
  • 지원
  • 커뮤니티
  • 이벤트
  • MATLAB 받기
MathWorks
  • 제품
  • 솔루션
  • 아카데미아
  • 지원
  • 커뮤니티
  • 이벤트
  • MATLAB 받기
  • MathWorks 계정에 로그인합니다.MathWorks 계정에 로그인합니다.
  • Access your MathWorks Account
    • 내 계정
    • 나의 커뮤니티 프로필
    • 라이선스를 계정에 연결
    • 로그아웃

비디오 및 웨비나

  • MathWorks
  • 비디오
  • 비디오 홈
  • 검색
  • 비디오 홈
  • 검색
  • 영업 담당 문의
  • 평가판 신청
22:34 Video length is 22:34.
  • Description
  • Related Resources

Implementation of Algorithm for Extension of Unambiguous Distance Measurement of 3D ToF Cameras Using Simulink and HDL Coder

Amit Nahar, IFM Engineering Private Limited

This presentation details the distance calculation algorithm for time-of-flight (ToF)–based 3D cameras. Many current ToF cameras provide neither higher spatial resolution nor larger unambiguous ranges compared with other range map estimation systems. The fact that they provide reliable depth information has motivated their use in numerous areas of research. The unambiguous range depends on the value of modulation frequency in case of a modulated light source. A reduction in modulation frequency can increase the unambiguous range, but it also increases the measurement uncertainty.

To cater to the need of improving the unambiguous range, an algorithm for extension of unambiguous range is implemented in VHDL® and MATLAB®. The algorithm uses two modulation frequencies to extend the unambiguous range. The two frequencies selected should be co-prime of each other. The distance calculation algorithm is implemented in Simulink® considering its usability for implementation on a hardware platform. The algorithm is implemented in VHDL. The algorithm is also implemented in MATLAB using fixed-point arithmetic.  Both the implementations are tested successfully. Results of simulation of the VHDL code and its comparison with results of the MATLAB fixed-point implementation for similar test inputs are promising. Currently the same algorithm is implemented in Simulink.

This session also presents a comprehensive comparison of the three methods: manual VHDL code, MATLAB fixed-point code, and Simulink model. Reduction in development time and testing time and, therefore,  quicker proof of concept implementation, is possible with Simulink and HDL Coder™ combined, especially for image processing algorithms, which are time and effort consuming for implementation on an FPGA system.

Recorded: 15 Jul 2014

Related Products

  • Simulink
  • HDL Coder

Bridging Wireless Communications Design and Testing with MATLAB

Read white paper

Feedback

Featured Product

Simulink

  • Request Trial
  • Get Pricing

Up Next:

19:00
Design of a Functional Size Measurement Tool for Real-Time...

Related Videos:

22:43
Radio Testbed Design Using HDL Coder
17:50
Eliminating Design Errors in Your Algorithm Using Simulink...
10:58
Simulink for Signal Processing Algorithm Development
12:33
Simulink for Work Groups Using Simulink Projects

View more related videos

MathWorks - Domain Selector

Select a Web Site

Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .

  • Switzerland (English)
  • Switzerland (Deutsch)
  • Switzerland (Français)
  • 中国 (简体中文)
  • 中国 (English)

You can also select a web site from the following list:

How to Get Best Site Performance

Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.

Americas

  • América Latina (Español)
  • Canada (English)
  • United States (English)

Europe

  • Belgium (English)
  • Denmark (English)
  • Deutschland (Deutsch)
  • España (Español)
  • Finland (English)
  • France (Français)
  • Ireland (English)
  • Italia (Italiano)
  • Luxembourg (English)
  • Netherlands (English)
  • Norway (English)
  • Österreich (Deutsch)
  • Portugal (English)
  • Sweden (English)
  • Switzerland
    • Deutsch
    • English
    • Français
  • United Kingdom (English)

Asia Pacific

  • Australia (English)
  • India (English)
  • New Zealand (English)
  • 中国
    • 简体中文Chinese
    • English
  • 日本Japanese (日本語)
  • 한국Korean (한국어)

Contact your local office

  • 영업 담당 문의
  • 평가판 신청

MathWorks

Accelerating the pace of engineering and science

MathWorks는 엔지니어와 과학자들을 위한 테크니컬 컴퓨팅 소프트웨어 분야의 선도적인 개발업체입니다.

활용 분야 …

제품 소개

  • MATLAB
  • Simulink
  • 학생용 소프트웨어
  • 하드웨어 지원
  • File Exchange

다운로드 및 구매

  • 다운로드
  • 평가판 신청
  • 영업 상담
  • 가격 및 라이선스
  • MathWorks 스토어

사용 방법

  • 문서
  • 튜토리얼
  • 예제
  • 비디오 및 웨비나
  • 교육

지원

  • 설치 도움말
  • MATLAB Answers
  • 컨설팅
  • 라이선스 센터
  • 지원 문의

회사 정보

  • 채용
  • 뉴스 룸
  • 사회적 미션
  • 고객 사례
  • 회사 정보
  • Select a Web Site United States
  • 신뢰 센터
  • 등록 상표
  • 정보 취급 방침
  • 불법 복제 방지
  • 애플리케이션 상태
  • 매스웍스코리아 유한회사
  • 주소: 서울시 강남구 삼성동 테헤란로 521 파르나스타워 14층
  • 전화번호: 02-6006-5100
  • 대표자 : 이종민
  • 사업자 등록번호 : 120-86-60062

© 1994-2022 The MathWorks, Inc.

  • Naver
  • Facebook
  • Twitter
  • YouTube
  • LinkedIn
  • RSS

대화에 참여하기