• DocumentCode
    644109
  • Title

    An optimal design method of delta-sigma modulator using GA for digital audio amplifier

  • Author

    Iwase, Takahiro ; Hirano, Shoji ; Goto, Tetsu ; Sakurai, Masaru

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nagoya Inst. of Technol., Nagoya, Japan
  • fYear
    2013
  • fDate
    1-4 Oct. 2013
  • Firstpage
    131
  • Lastpage
    132
  • Abstract
    Low-power digital audio (Class-D) amplifiers are widely used in portable digital devices, such as MP3 players and smart phones. ΔΣ modulators are suitable for Class-D amplifiers, because high-order modulators provide better performance and low cost. However, for higher-order ΔΣ modulator design, it is imperative to determine the optimal design parameters for realizing the maximum signal-to-noise ratio (SNR) while maintaining system stability. This process requires the expertise of an experienced designer. To avoid this requirement, we propose an automatic optimal design method that uses genetic algorithm (GA) and that does not require the expertise of an experienced designer. This method generates an optimal design of ΔΣ modulators, so that the design provides higher system stability and maintains high SNR.
  • Keywords
    audio-frequency amplifiers; circuit stability; delta-sigma modulation; genetic algorithms; GA; MP3 player; SNR; automatic optimal design method; class-D amplifier; delta-sigma modulator; genetic algorithm; higher-order ΔΣ modulator design; low-power digital audio amplifier; portable digital device; signal-to-noise ratio; smart phone; stability; Algorithm design and analysis; Circuit stability; Design methodology; Genetic algorithms; Modulation; Signal to noise ratio; Stability analysis; ΔΣ; Audio; Class-D amplifier; Genetic algorithm; modulator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (GCCE), 2013 IEEE 2nd Global Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4799-0890-5
  • Type

    conf

  • DOI
    10.1109/GCCE.2013.6664773
  • Filename
    6664773