• DocumentCode
    2890072
  • Title

    Rate distortion optimized design of quantized bandpass filters

  • Author

    Sivaramakrishnan, Kamakshi ; Linscott, Ivan R. ; Tyler, G. Leonard

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • Volume
    2
  • fYear
    2003
  • fDate
    9-12 Nov. 2003
  • Firstpage
    1478
  • Abstract
    In this paper, an efficient and simple cascade structure for the implementation of the multiplierless bandpass filter proposed in (Kamakshi Sivaramakrishnan, et al., (2004)) is shown. The quantization of the proposed cascade structure necessitates a formal design technique for the interdependent bit-widths in the various stages of the cascade. The quantizer design, when formulated as a classical optimization problem of minimum distortion for a given rate (bit resource) constraint is solved using an approach commonly used in dependent quantization scenarios, as in source coding. The otherwise complex problem of optimal resource allocation is solved using some observational heuristics giving a partly greedy solution. This sets up the ground towards achievement of near optimal performance bounds in the rate-distortion sense. The quantization of the cascade filter structure is characterized by a convex hull of the optimal rate-distortion points.
  • Keywords
    band-pass filters; optimisation; quantisation (signal); rate distortion theory; resource allocation; source coding; cascade filter structure; interdependent bit-width; multiplierless bandpass filter; observational heuristics; optimal resource allocation; optimization problem; quantized bandpass filter; quantizer design; rate distortion optimized design; source coding; Arithmetic; Band pass filters; Design optimization; Finite impulse response filter; Narrowband; Nonlinear filters; Quantization; Rate-distortion; Resource management; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
  • Print_ISBN
    0-7803-8104-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2003.1292231
  • Filename
    1292231