aEdge thinning is a technique used to remove the unwanted spurious points on the edges in an image. This technique is employed after the image has been filtered for noise (using median, Gaussian filter etc.), the edge operator has been applied (like the ones described above) to detect the...
The present work focussed on the frequency non selective Rayleigh fading channel and on the filtered white Gaussian noise (FWGN) modelling method. Various Doppler spectra were evaluated through the above mentioned metrics using a Monte Carlo or a semi analytical method. The BER test was performed ...
A new Gaussian-filtered, shifted phase-encoded fringe-adjusted joint transform correlation technique has been developed in this paper for an optical pattern recognition system. The input noisy image is first filtered by using a Gaussian filter, which helps in overcoming the effect of background ...
There are two positive points for using a continuous filter instead of a differentiator/integrator: 1-relaxing the practical concerns of designing the differentiator/integrator, and 2- having some freedom in designing the filter so that attenuation of the noise in the signal is possible especially ...
For illustrative purposes, we will initially focus on a simplified communication scenario: bit synchronized multiple users communicating over an additive white Gaussian noise channel. Generalizations of this model are considered in Section VII.A. We shall assume that the front-end filter of the receive...
Filtered Gaussian white noise processes are used to approximate the loading terms representing an active crowd. Lumped biodynamic models with a single degree of freedom are included to reflect passive spectators occupying the structure. The response is described in terms of the first two moments, ...
Residual noiseoptimal filterimage processingResidual noise analysis is useful in designing optimal filters for noise reduction. To begin we derive the variance of residual noise \\(\\sigma^2_r\\), from Poisson and Gaussian series after filtered by a Gaussian filter. For Poisson series, we have...
CABLESThe probabilistic solutions of the responses of shallow cable are studied when the cable is excited by filtered Gaussian white noise. The nonlinear multi-degree-of-freedom system is formulated which governs the random vibration of cable. The state-space-split (SSS) method an...
The algorithm is considered for (machine) noise reduction for a primary path with zeromean binary or Gaussian sources as inputs. An anti-noise signal is generated to alleviate the effect of noise and to minimise the filtered error by improved secondary path modelling. The proposed arrangement is...
Residual noiseoptimal filterimage processing.Residual noise analysis is useful in designing optimal filters for noise reduction. To begin we derive the variance of residual noise σ_r~2, from Poisson and Gaussian series after filtered by a Gaussian filter. For Poisson series, we have σ_r~2 =...