in this paper, we deal with the problem of adaptive coherent signal detection in gaussian interference (clutter plus noise) for surveillance pulse radars. some of the adaptive radar detectors exploit the ar model for clutter. most of these detectors have been obtained using the glr test. this test relies on the maximum likelihood estimation whose accuracy depends on the number of data. whereas,...

In this paper, we review some basic definitions and properties of FIR filters. We also discusses different types of realizations of digital FIR filters and their uses in some typical applications. We then present some basic building blocks for SC filters. Of particular interest are static and dynamic memory SC circuits, based on SC integrators. These building blocks are the basis for many types...

A new method for suppressing transients in time-varying recursive filters is proposed. The technique is based on modifying the state variables when the filter coefficients are changed so that the filter enters a new state smoothly without transient attacks, as originally proposed by Zetterberg and Zhang. In this contribution we modify the Zetterberg–Zhang algorithm to render it feasible for eff...

In this paper, we present a new median-based operator which associates in a multidirectional filtering scheme the noise suppression ability of the recursive median filter with the edge conservation property of the standard median filter. We show in a preliminary comparative study the superiority of the recursive median filter for smoothing regions corrupted by additive white noise, while the st...

In this paper, an efficient architecture is presented for displaying images in JPEG format in cell phones. The architecture mainly emphasizes on efficient computation of 2Dimensional Inverse Discrete Cosine Transform (2-D IDCT), which is the most computationally intensive part for JPEG image decoding. Pipelining/interleaving technique is employed in our recursive computing scheme to overcome th...

Harmonic sliding analysis (HSA) is a dynamic spectrum analysis [1] in which the next analysis interval differs from the previous one by including the next signal sample and excluding the first one from the previous analysis interval. Such a harmonic analysis is necessary for time-frequency localization [2] of analysed signal given peculiarities. Using the well-known Fast Fourier transform (FFT)...

The Spectrum Sliding Analysis (SSA) is a dynamic spectrum analysis in which the next analysis interval differs from the previous one by including the next signal sample and excluding the first one from the previous analysis interval. Such a spectrum analysis is necessary for time-frequency localization of analyzed signals with given peculiarities. Using the well-known Fast Fourier Transform (FF...

In this paper we examine the optimal throughput of recursive filter using varies optimization techniques, which are relevant for real time application. By formulating filter design as a multi-objective optimization problem and approaching. Different approaches use for implementing of these methods on hardware. In this work FPGA implementation of recursive filters are examined and the comparison...