Now showing items 1-13 of 13

  • Adaptive Goertzel's Algorithm for DFT Computation with Higher Accuracy 

    Levicky, D.; Drutarovsky, M.; Galajda, P.; Kocur, D.; Marchevsky, S. (Společnost pro radioelektronické inženýrství, 1996-04)
    In this paper the adaptive Goertzel's algorithm applied for required DFT coefficient computation in the harmonic analyser is described. This algorithm utilizes effective combination of the synchronous DFT and window method. ...
  • Adaptive Order-Statistic LMS Filters 

    Hudec, R.; Marchevsky, S. (Společnost pro radioelektronické inženýrství, 2001-04)
    The LMS-based adaptive order-statistic filters are presented in this paper. The adaptive Ll-filters as extension of the adaptive L-filter for two-dimensional filtering of noisy greyscale images is studied too. Their ...
  • BAMUD Features Demonstration by System View 

    Longauer, L.; Marchevsky, S.; Kocur, D. (Společnost pro radioelektronické inženýrství, 2004-09)
    Direct-sequence code-division multiple access (DS-CDMA) is a frequently used wireless technology in DS-CDMA communications. The conventional DS-CDMA detector follows a single-user detection strategy in which each user is ...
  • Design of Boolean LUM Smoothers through Permutation Coloring Concept 

    Lukac, R.; Marchevsky, S. (Společnost pro radioelektronické inženýrství, 2001-04)
    Rank-order based LUM (lower-upper-middle) smoothers distinguishes by wide range of smoothing characteristics given by filter parameter. Thus, for the capability to achieve the best balance between noise suppression and ...
  • Error Concealment Method Based on Motion Vector Prediction Using Particle Filters 

    Hrusovsky, B.; Mochnac, J.; Marchevsky, S. (Společnost pro radioelektronické inženýrství, 2011-09)
    Video transmitted over unreliable environment, such as wireless channel or in generally any network with unreliable transport protocol, is facing the losses of video packets due to network congestion and different kind of ...
  • Extension of Impulse Detectors to Spatial Dimension and their Utilization as Switch in the LMS L-SD Filter 

    Hudec, R.; Marchevsky, S. (Společnost pro radioelektronické inženýrství, 2001-04)
    In this paper, one kind of adaptive LMS filters based on order statistics is used for two-dimensional filtration of noisy greyscale images degraded by mixed noise. The signal-dependent adaptive LMS L-filter (L-SD) consists ...
  • Fuzzy Stack Filters for Image Processing 

    Marchevsky, S.; Stupak, Cs. (Společnost pro radioelektronické inženýrství, 1999-06)
    This paper is oriented to filtering by fuzzy stack filter of monochromatic images distorted with impulsive noise. Fuzzy stack filter is acquired by extension of stack filters by means of fuzzy logic. Adding some parameters ...
  • Higher Efficiency of Motion Estimation Methods 

    Gamcova, M.; Marchevsky, S.; Gamec, J. (Společnost pro radioelektronické inženýrství, 2004-12)
    This paper presents a new motion estimation algorithm to improve the performance of the existing searching algorithms at a relative low computational cost. We try to amend the incorrect and/or inaccurate estimate of motion ...
  • The Methods of Design and Implementation of Stack Filters for Image Processing 

    Drutarovsky, M.; Marchevsky, S. (Společnost pro radioelektronické inženýrství, 1995-04)
    This paper deals with a large class of nonlinear digital filters, the stack filters, which contain all combinations and compositions of rank order operators within a finite window. Attention is given to design and effective ...
  • A Neural LUM Smoother 

    Lukac, R.; Marchevsky, S. (Společnost pro radioelektronické inženýrství, 2000-09)
    In this paper a design of neural LUM smoother is presented. The LUM smoother distinguishes by a number of smoothing characteristics done by the filter parameter. However, the tuning parameter for smoothing is fixed for ...
  • A New Glass of Nonlinear Filters: Microstatistic Volterra Filters 

    Kocur, D.; Drutarovsky, M.; Marchevsky, S. (Společnost pro radioelektronické inženýrství, 1996-04)
    In this paper a new subset of the time-invariant microstatistic filters so-called microstatistic Volterra filters are proposed. This class of nonlinear filters is based on the idea of the conventional microstatistic filter ...
  • Order-Statistic Filters in Dynamic Image Sequences 

    Lukac, R.; Stupak, C.; Marchevsky, S.; Macekova, L. (Společnost pro radioelektronické inženýrství, 2000-09)
    This paper is concerned with filtering methods in dynamic image sequences corrupted by impulsive noise. Spatial filters based on order statistics are well known. However, image sequences can be considered as spatiotemporal ...
  • Suppression of Mixed Noise in the Similar Images by Using Adaptive LMS L-filters 

    Kocur, D.; Hudec, R.; Marchevsky, S. (Společnost pro radioelektronické inženýrství, 2000-12)
    In this paper, several adaptive least mean squares (LMS) location-invariant filter (L-filter) modifications will be described. These filters are based on linear combination of order statistics. The adaptive L-filters are ...