• DocumentCode
    1707305
  • Title

    On the exact recovery of higher-order moments of noisy signals

  • Author

    Cheded, L.

  • Author_Institution
    Dept. of Syst. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
  • fYear
    1996
  • Firstpage
    295
  • Lastpage
    298
  • Abstract
    The importance of moments in science and engineering, as witnessed by the continuous and wide applicability of second-order moments (correlations) and the use of their higher-order brethren is clearly unquestionable. Due to the predominance of digital, rather than analogue, signal processing, it is of practical importance to investigate the impact of amplitude quantization on the exact recovery of unquantized moments from their quantized counterparts. We extend the results of Cheded (see IEEE ICASSP´95, p.1816-19, Detroit, USA) to the more general and interesting case where no a priori knowledge of the quantizer input´s membership of the class Lp is available. We introduce a new moment-sense input/output function hp(x) that statistically characterizes the quantizer. Two new theorems are also stated that solve the exact moment recovery problem. Finally, two approaches to this problem are presented with some simulation results: based on a 1-bit quantizer, that substantiate very well the theory
  • Keywords
    correlation methods; higher order statistics; noise; quantisation (signal); signal processing; 1-bit quantizer; amplitude quantization; correlations; engineering; exact moment recovery problem; exact recovery; higher-order moments; moment-sense input/output function; noisy signals; quantized moments; science; second-order moments; signal processing; simulation results; statistical characteristics; theorems; unquantized moments; Digital signal processing; Higher order statistics; Milling machines; Modeling; Petroleum; Polynomials; Quantization; Signal processing; Stochastic processes; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop Proceedings, 1996., IEEE
  • Conference_Location
    Loen
  • Print_ISBN
    0-7803-3629-1
  • Type

    conf

  • DOI
    10.1109/DSPWS.1996.555519
  • Filename
    555519