Corpus ID: 16462573

Hybrid optimization technique for the design of digital differentiator

  title={Hybrid optimization technique for the design of digital differentiator},
  author={D. Singh and Ranjit Kaur},
  • D. Singh, Ranjit Kaur
  • Published 2011
  • Engineering
  • The new differentiators are important for applications where the first, second, or higher-order derivative of a digital signal is required to be accurate at mid-range frequencies. In this paper hybrid optimization method is proposed for the design of digital differentiator. The proposed method explores and exploits the search space locally as well as globally to formulate the error between the practical digital differentiator and the ideal digital differentiator. A procedure is described which… CONTINUE READING
    3 Citations

    Tables from this paper

    An Approach to Accurate Inversion of Convolution Transforms by FIR Filters
    • 1
    • PDF
    Opposition based learning: A literature review
    • 71
    • PDF


    Neural least-squares design of higher order digital differentiators
    • Y. Jou
    • Mathematics, Computer Science
    • IEEE Signal Processing Letters
    • 2005
    • 18
    Least-squares design of higher order nonrecursive differentiators
    • 41
    • Highly Influential
    Design of efficient second and higher order FIR digital differentiators for low frequencies
    • 25
    Eigenfilter design of higher-order digital differentiators
    • S. Pei, J. Shyu
    • Mathematics, Computer Science
    • IEEE Trans. Acoust. Speech Signal Process.
    • 1989
    • 108
    • Highly Influential
    An Optimal Design of FIR Digital Filter Using Genetic Algorithm
    • 9
    Design of equiripple nonrecursive digital differentiators and Hilbert transformers using a weighted least-squares technique
    • 98
    Digital Low-Pass Differentiation for Biological Signal Processing
    • 215
    Modifications to the McClellan, Parks, and Rabiner computer program for designing higher order differentiating FIR filters
    • 44