Earticle

초록

영어

Gradient is an important operator in signal processing. A gradient operation always is sensitive to noisy environment. In this paper, a new differential method is designed in the field of one-dimensional signal processing which is robust in low signal to noise ratio. The proposed scheme is suitable for signal differentiation in analog and digital signal processing applications. For low frequencies, this scheme performs the signal derivative, but for high frequencies recasts to a constant gain. This prevents differentiation of high frequency components of added noise. The proposed differential operator is applied to sound and image signals. Results show superiority of the proposed method.

목차

Abstract
 1. Introduction
 2. The Proposed Differential Operator
  2.1 Finite Gain Adder
  2.2 Derivative Transfer Function
  2.3 Digital Implementation of the Differentiator
  2.4 Implementing in FPGA
 3. Sound and Image Gradient using the Proposed Derivative
 4. Conclusions
 References

키워드

저자

• Hadi Sadoghi Yazdi [ Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad ]
• Hadi Dehdast [ Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605