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http://hdl.handle.net/2074/1783
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| Title: | Multivariate ARMA modeling by scalar algorithms |
| Authors: | Chakraborty, M
Prasad, S |
| Keywords: | multichannel autoregressive
periodic ARMA process
scalar autoregressive (AR) parameters
moving average (MA) parameters |
| Issue Date: | 1993 |
| Citation: | Signal Processing, IEEE Transactions on, 41(4), 1692 - 1697p. |
| Abstract: | An algorithm for multichannel autoregressive moving average (ARMA) modeling which uses scalar computations only and is well suited for parallel implementation is proposed. The given ARMA process is converted to an equivalent scalar, periodic ARMA process. The scalar autoregressive (AR) parameters are estimated by first deriving a set of modified Yule-Walker-type equations and then solving them by a parallel, order recursive algorithm. The moving average (MA) parameters are estimated by a least squares method from the estimates of the input samples obtained via a high-order, periodic AR approximation of the scalar process |
| URI: | http://eprint.iitd.ac.in/dspace/handle/2074/1783 |
| Appears in Collections: | Electrical Engineering
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| chakrabortymul1993.pdf | | 76Kb | Adobe PDF | View/Open |
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