The Experts below are selected from a list of 1794 Experts worldwide ranked by ideXlab platform

R Stasinski - One of the best experts on this subject based on the ideXlab platform.

  • selective nesting of Circular Convolution algorithms
    International Conference on Acoustics Speech and Signal Processing, 1992
    Co-Authors: R Stasinski
    Abstract:

    The problem of the proper use of nesting techniques applied to Circular Convolution computation is highlighted. The well known method of transforming the Convolution nesting problem into a problem of nesting polynomial products named split-nesting is considered. It is then shown that for receiving optimum results polynomial products should be nested only if an inequality named the rule of number 2 is satisfied. Examples show that the algorithms obtained are much better than the split-radix ones. Using the nesting technique for multidimensional data is also discussed. >

  • ICASSP - Selective nesting of Circular Convolution algorithms
    [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics Speech and Signal Processing, 1992
    Co-Authors: R Stasinski
    Abstract:

    The problem of the proper use of nesting techniques applied to Circular Convolution computation is highlighted. The well known method of transforming the Convolution nesting problem into a problem of nesting polynomial products named split-nesting is considered. It is then shown that for receiving optimum results polynomial products should be nested only if an inequality named the rule of number 2 is satisfied. Examples show that the algorithms obtained are much better than the split-radix ones. Using the nesting technique for multidimensional data is also discussed. >

I Hartimo - One of the best experts on this subject based on the ideXlab platform.

L Wang - One of the best experts on this subject based on the ideXlab platform.

Kiyoshi Nishikawa - One of the best experts on this subject based on the ideXlab platform.

  • property of Circular Convolution for subband image coding
    International Conference on Acoustics Speech and Signal Processing, 1992
    Co-Authors: Kiyoshi Nishikawa, Hitoshi Kiya, Masahiko Sagawa
    Abstract:

    One of the problems with subband image coding is the increase in image sizes caused by filtering. To solve this, it has been proposed to process the filtering by transforming an input sequence into a periodic one. Then, filtering is implemented by Circular Convolution. Although this technique solves the problem, there are very strong restrictions, i.e. limitations on the filter type and on the filter bank structure. The development of this technique is presented. Consequently, any type of linear-phase finite impulse response (FIR) filter and any structure of filter bank can be used. >

  • ICASSP - Property of Circular Convolution for subband image coding
    [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics Speech and Signal Processing, 1992
    Co-Authors: Kiyoshi Nishikawa, Hitoshi Kiya, Masahiko Sagawa
    Abstract:

    One of the problems with subband image coding is the increase in image sizes caused by filtering. To solve this, it has been proposed to process the filtering by transforming an input sequence into a periodic one. Then, filtering is implemented by Circular Convolution. Although this technique solves the problem, there are very strong restrictions, i.e. limitations on the filter type and on the filter bank structure. The development of this technique is presented. Consequently, any type of linear-phase finite impulse response (FIR) filter and any structure of filter bank can be used. >

  • Subband coding of images with Circular Convolution
    [Proceedings] 1992 IEEE International Symposium on Circuits and Systems, 1
    Co-Authors: Masahiro Iwahashi, Hitoshi Kiya, Kiyoshi Nishikawa
    Abstract:

    A novel filtering technique for subband coding (SBC) of images is introduced. The method avoids data increase, reduces reconstructed image data distortion, and activates any type of linear phase finite impulse response (FIR) filter. The procedure involves (1) special methods that generate periodic data from original nonperiodic data; (2) identifying the relation between periodic data types and filter types; and (3) the selection of an appropriate method of rate conversion. Simulation results show the benefit of the proposed method. >

B S Adiga - One of the best experts on this subject based on the ideXlab platform.