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Implementing Concurrent Error Detection in Infinite-Impulse-Response Filters
IEEE Transactions on Circuits and Systems II: Express Briefs, 2012Advanced electronic circuits suffer errors caused by multiple sources. For example, radiation can induce transient errors, and manufacturing variations can cause some devices to sporadically suffer errors. Fault tolerance is therefore an important issue in advanced electronic circuits.
Reviriego, Pedro +2 more
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Optimal communications with infinite impulse response matched filters
Chaos, Solitons & Fractals, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marko S. Milosavljevic +2 more
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Parallel adaptive infinite impulse response digital filters using Kalman filters
Electronics and Communications in Japan (Part III: Fundamental Electronic Science), 1995AbstractThis paper presents a new design method for parallel adaptive infinite impulse response (112) digital filters using Kalman filters in the time domain. the parallel Kalman filter (PKF) and the improved parallel Kalman filter (IPKF) based on the divided estimation of an unknown system's impulse response are extended to parallel adaptive IIR ...
Jianting Cao +2 more
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Misadjustment expressions for infinite impulse response adaptive filters
ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005Expressions are derived for the misadjustment in Infinite Impulse Response Adaptive filters. The decomposition method [1] for solving difference equations with randomly time-varying coefficients is thereby employed. Specifically, it is shown how higher order terms in the decomposition of the output correspond to the excess error caused by measurement ...
G. Sohie, S. Alshibani
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Wiener infinite impulse response filter design
International Journal of Electronics, 1985ABSTRACT The standard design approach for the Wiener IIR filter has been examined for the first- and second-order signal processes in the presence of additive white noise. Positions of the optimum filter poles have been derived as a function of the signal-to-noise ratio.
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On optimal infinite impulse response edge detection filters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991The authors outline the design of an optimal, computationally efficient, infinite impulse response edge detection filter. The optimal filter is computed based on Canny's high signal to noise ratio, good localization criteria, and a criterion on the spurious response of the filter to noise. An expression for the width of the filter, which is appropriate
S. Sarkar, K.L. Boyer
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A hybrid infinite/finite impulse response (HIR) filter
The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002., 2003Filters are used to implement signal transforms, and filter design is a very important part of the signal processing field. There are currently 2 types of filters available: the finite impulse response (FIR) filter, and the infinite impulse response (IIR) filter.
M. Weeks, null Baoan Wang
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Signal design for infinite impulse response inverse filters
Proceedings of MILCOM '93 - IEEE Military Communications Conference, 2002An infinite impulse response (IIR) inverse filter structure is presented, and compared with the performance of two finite impulse response (FIR) designs. The IIR design is shown to provide better performance and be able to improve further (e.g., -1.4 dB in sidelobe levels per unit delay increase for a length-13 Barker sequence) by increasing delay. The
W.-C. Wang, R.A. Scholtz
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Infinite impulse response filtering for cone beam tomography
SPIE Proceedings, 2013In computed tomography (CT) or conebeam tomography (CBT), filtered backprojection (FBP) has been known as an efficient technique for reconstructing 3D-volumes from acquired projection data. Plain backprojection only would result in systematically blurred objects.
Karl Barth +4 more
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Design of a Nonlinear Adaptive Infinite Impulse Response Filter
2007 IEEE 15th Signal Processing and Communications Applications, 2007This study introduces a wavelet network based adaptive IIR filtering system satisfying asymptotic stability in the sense of Lyapunov. The proposed system is also integrated with the advantages of the time-frequency specific properties of wavelet networks in its dynamics. Two well known experiments are proposed.
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