Abstract | ||
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The problem of computing exact finite impulse response (FIR) inverses for multivariate multiple-input multiple-output (MIMO) FIR systems is considered. Necessary and sufficient conditions for invertibility are given, along with computation techniques. Random systems and structured systems are defined. Necessary and sufficient conditions for the almost sure invertibility of structured random systems are derived. Bounds on the orders of the inverse filters are computed. |
Year | DOI | Venue |
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2003 | 10.1109/TIP.2003.811512 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
structured system,multivariate mimo fir inverse,multivariate multiple-input multiple-output,sure invertibility,sufficient condition,exact finite impulse response,inverse filter,structured random system,random system,computation technique,fir system,transfer functions,decoding,mimo,galois fields,finite impulse response,government,inverse problems,fir filters,deconvolution,polynomials,random processes,finite impulse response filter,image restoration | Applied mathematics,Inverse problem,Artificial intelligence,Finite impulse response,Computation,Inverse,Mathematical optimization,Multivariable calculus,Pattern recognition,MIMO,Stochastic process,Transfer function,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 4 | 1057-7149 |
Citations | PageRank | References |
12 | 0.83 | 10 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ravikiran Rajagopal | 1 | 12 | 0.83 |
Lee C. Potter | 2 | 449 | 35.60 |