• DocumentCode
    51107
  • Title

    Fast Argument Quantization [SP Tips&Tricks]

  • Author

    Nilsson, John-Olof ; Handel, Peter

  • Author_Institution
    Dept. of Signal Process., KTH R. Inst. of Technol., Stockholm, Sweden
  • Volume
    30
  • Issue
    6
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    169
  • Lastpage
    172
  • Abstract
    A quantized low-resolution argument of a complex number or two-dimensional vector is required in many digital signal processing algorithms. Examples include APSK code demodulation for which it may be used to evaluate the Voronoi diagram; low-level processing for many computer vision methods that exploit histograms of gradient sample arguments, e.g., SIFT and HOG; and phase tracking/frequency estimation for which it may be used as a low-cost phase approximation. Often, such quantized arguments will have to be computed many times and under real-time constraints. Therefore, efficient solutions to these calculations are of interest.
  • Keywords
    quantisation (signal); signal processing; APSK code demodulation; Voronoi diagram; computer vision methods; digital signal processing algorithms; fast argument quantization; frequency estimation; gradient sample arguments; low cost phase approximation; low level processing; phase tracking; quantized low resolution argument; two dimensional vector; Approximation methods; Mobile communication; Quantization (signal); Real-time systems; Streaming media; Ultrasonic imaging;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2013.2276531
  • Filename
    6632968