Title | ||
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Design of two-dimensional digital filters using singular-value decomposition and balanced approximation method |
Abstract | ||
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It is shown that singular-value decomposition (SVD) can be applied along with 1-D finite-impulse-response (FIR) techniques to design linear-phase 2-D filters with arbitrary prescribed amplitude responses that are symmetrical with respect to the origin of the (ω1 , ω2) plane. the balanced approximation method is applied to 2-D linear-phase FIR filters of the type obtained by the SVD method. The method leads to economical and computationally efficient filters, usually IIR filters, which have prescribed amplitude responses and whose phase responses are approximately linear |
Year | DOI | Venue |
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1991 | 10.1109/ISCAS.1989.100682 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
computationally efficient filters,image processing,fir,linear-phase 2-d filters,filtering and prediction theory,singular-value decomposition,phase responses,sampled amplitude response,prescribed amplitude responses,picture processing,2-d linear-phase fir filters,iir filters,balanced approximation method,svd,finite impulse response,two-dimensional digital filters,singular value decomposition,linear phase,approximation error,low pass filters,linear approximation,fir filter,finite impulse response filter,passband,digital filters,infinite impulse response,digital filter | Mathematical optimization,Digital filter,Impulse invariance,Linear filter,Prototype filter,Control theory,Infinite impulse response,Network synthesis filters,2D Filters,Finite impulse response,Mathematics | Journal |
Volume | Issue | Citations |
39 | 10 | 12 |
PageRank | References | Authors |
3.75 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wu-Sheng Lu | 1 | 329 | 49.40 |
Wang, H.-P. | 2 | 12 | 3.75 |
A. Antoniou | 3 | 267 | 30.79 |