Digital image processing is required for almost all type of images. Live-cell images are one of those image requires digital image processing. This paper proposed a centre weighted median filter for livecell video enhancement. Three different types of filters were compared and results showed that the most effective filter is the centre weighted median filter. Key-Words: Live-cell, Centre Weight...

In this paper we present a novel adaptive IIR digital filter composed of a cascade of an all-pass filter and a minimumphase filter. The coefficients of the filter are updated in such a way as to achieve minimum mean-squared error between the output of the unknown system and the output of the digital filter. Computer simulation verifies that the digital filter coefficients converge to the unknow...

power amplifiers (pas) are inherently nonlinear elements and digital predistortion is a highly cost-effective approach to linearize them. although most existing architectures assume that the pa has a memoryless nonlinearity, memory effects of the pas in many applications ,such as wideband code-division multiple access (wcdma) or orthogonal frequency-division multiplexing (ofdm), can no longer b...

This paper describes a linear phase digital filter with novel linear phase condition. A conventional linear phase digital filter is an FIR filter with coefficients of oddor even –symmetry and whose group delay NTs/2 where N is the number of the FIR filter taps and Ts is the sampling period; its group delay time resolution is Ts/2. We have generalized the linear phase condition, and with our nov...

Digital filters have three components: (1) unit delays, (2) multipliers, and (3) adders. These components can be implemented by using (1) a Bragg cell as a tapped delay line, (2) optical multiplication using the Bragg cell transmittance, and (3) photodetectors. Multiplexing techniques are shown to increase geometrically the data handling capacity of such filters. An architecture for a 2-D digit...

This paper proposes a new adaptive extended Kalman filter (AEKF) for a class of nonlinear systems perturbed by noise which is not necessarily additive. The proposed filter is adaptive against the uncertainty in the process and measurement noise covariances. This is accomplished by deriving two recursive updating rules for the noise covariances, these rules are easy to implement and reduce the n...

Abstract In this paper, a real-time predictive filter is derived for nonlinear systems. The major advantage of this new filter over conventional filters is that it provides a method of determining optimal state estimates in the presence of significant error in the assumed (nominal) model. The new real-time nonlinear filter determines (“predicts”) the optimal model error trajectory so that the m...

Mirror filter is used for the compensation of nonlinear distortions for electro-dynamic loudspeaker systems and is based on the nonlinear differential equations. The design of Mirror filter requires the estimated parameters of a target loudspeaker system. If you obtain the corresponding parameters of a target loudspeaker system and arrange Mirror filter designed using those parameters in front ...