• DocumentCode
    1993196
  • Title

    Accurate stability prediction of single-bit higher-order delta-sigma (Δ-Σ) modulators for speech codecs

  • Author

    Lota, J. ; Al-Janabi, Mohammed

  • Author_Institution
    Sch. of Comput., IT & Eng., Univ. of East London, London, UK
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    1628
  • Lastpage
    1631
  • Abstract
    Present approaches for predicting the stability of Delta-Sigma (Δ-Σ) modulators are mostly confined to DC inputs. This poses limitations as practical applications of Δ-Σ modulators involve a wide range of signals other than DC such as speech, audio and multiple sinusoids as is the case for synthetically generated speech or audio or any other signal, through the appropriate composition of multiple sinusoids. In this paper, a quasi-linear model that accurately predicts stability of single-loop 1-bit higher-order Δ-Σ modulators for multiple sinusoids is given. The results of this paper would enable optimization of the design of higher-order single-loop Δ-Σ modulators with increased dynamic ranges for various applications that deploy multiple sinusoidal inputs, as well as any general input signal constructed from multiple sinusoids.
  • Keywords
    circuit optimisation; circuit stability; delta-sigma modulation; modulators; speech codecs; design optimization; multiple sinusoid composition; quasilinear model; single-bit higher-order delta-sigma modulators; single-loop signal-bit higher-order Δ-Σ modulators; speech codecs; stability prediction; synthetically generated audio; synthetically generated speech; Frequency modulation; Noise; Quantization; Sigma delta modulation; Speech; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4244-9473-6
  • Electronic_ISBN
    0271-4302
  • Type

    conf

  • DOI
    10.1109/ISCAS.2011.5937891
  • Filename
    5937891