Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Causal and stable FIR-IIR Wiener filters
Date
2003-10-01
Author
Tuncer, Temel Engin
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
205
views
0
downloads
Cite This
IIR Wiener filters are the optimum filters with minimum MSE. In general, these filters are noncausal and their causal counterparts have larger MSE. In this paper, we propose causal and stable FIR-IIR Wiener filters which have the same MSE performance when the FIR part is sufficiently long. FIR-IIR Wiener filter employs the best delay LS inverse filter to model the noncausal part of the IIR Wiener filter. We have compared the MSE performances of IIR causal and noncausal, FIR best delay and FIR-IIR Wiener filters, by using AR(1) and AR(2) processes.
Subject Keywords
Wiener filter
,
Finite impulse response filter
,
IIR filters
,
Delay
,
Computational complexity
,
Convolution
,
Equations
,
Inverse problems
,
Signal processing
,
Degradation
URI
https://hdl.handle.net/11511/42142
DOI
https://doi.org/10.1109/ssp.2003.1289354
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Risk sensitive particle filters for mitigating sample impoverishment
Orguner, Umut (2007-08-29)
Risk-sensitive filters (RSF) put a penalty to higher-order moments of the estimation error compared to conventional filters as the Kalman filter minimizing the mean square error. The result is a more cautious filter, which can be interpreted as an implicit and automatic way to increase the state noise covariance. On the other hand, the process of jittering, or roughening, is well-known in particle filters to mitigate sample impoverishment. The purpose of this contribution is to introduce risk-sensitive part...
Ring based FIR-IIR best delay LS inverse filters
Aktas, M; Tuncer, Temel Engin (2004-04-30)
In this paper, we investigate the best delay LS inverse filter design problem. We propose FIR-IIR LS inverse filters to improve the LS error performance for the same complexity. Furthermore we present a new approach for the design of FIR-IIR LS inverse filters by using a special selection procedure for the IIR part. We derived the closed form LS error expressions and compared with the practical results in order to effectively show the performance improvement in this case. In general 4-5 dB improvement is ac...
Performance enhancement and comparison of discrete time current regulators for parallel active filters
Ozkaya, Hasan; Senturk, Osman Selcuk; Hava, Ahmet Masum (2007-09-05)
Discrete time linear and hysteresis current regulators (CR) for three-phase parallel active filters (PAF) are reviewed and evaluated. A novel discrete time hysteresis current regulation method with current oversampling and flexible PWM release capability, DHCR3, which has superior overall performance and simple implementation (no additional hardware) is proposed. Switching ripple filters (SRF) suitable for each CR type are designed. A DSP controlled PAF is designed and built for a three-phase 10 kW diode re...
THE GENERALIZED H-LATTICE FILTER AND ESTIMATION OF THE ARMA MODELS
YARMANVURAL, F; WAWRZYNSKI, D; CETIN, AE (1989-01-01)
A class of lattice filters, the generalized H-lattice filters is introduced. The generalized H-lattice filters can represent the autoregressive moving-average (ARMA) models and they can be used for the modeling and analysis of the ARMA stochastic process.
Analysis of root displacement interpolation method for tunable allpass fractional-delay filters
Hacıhabiboğlu, Hüseyin; Günel Kılıç, Banu (2007-10-01)
One of the simplest ways of designing allpass fractional-delay filters with maximally fiat group delays is by using the Thiran approximation by which the filter coefficients are calculated using a closed-form equation. However, due to the number of multiplications and divisions involved, the calculation of these coefficients is a computationally costly task and is not suitable for real-time applications. The analysis of a root-displacement-based interpolation method used in allpass tunable fractional delays...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
T. E. Tuncer, “Causal and stable FIR-IIR Wiener filters,” 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42142.