630F09_lec_graph091118

630F09_lec_graph091118 - 1 [n], b 2 [n], . .. b M [n], as...

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ENEE630 F'09 Figures/Plots for 11/18/2009 Lattice Filtering for Linear Prediction Recap : o Forward-Prediction Error Filter: o Backward-Prediction Error Filter:
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Order Update for Prediction Errors:
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Lattice Filter has a modular structure: To increase the order, we simply add more stages and reuse the earlier computations. - Using a tapped delay line implementation, we need a total of M separate filters to generate b 1 [n], b 2 [n], . .. b M [n]. - In contrast, a single lattice structure can generate b
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Unformatted text preview: 1 [n], b 2 [n], . .. b M [n], as well as f 1 [n], f 2 [n], . .. f M [n] at the same time. Correlation Properties for {b m [n]}, {f m [n]}: Remark from Property#3 : The generation of {b [n], b 1 [n], b 2 [n], . .. } is like a Grand-Schmidt orthogonalization process on { u[n], u[n-1], . .. }. As a result, {b k [n]} is a new, uncorrelated representation of { u[n] } containing exactly the same information....
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This note was uploaded on 10/31/2010 for the course EE 630 taught by Professor Wu during the Spring '10 term at Aarhus Universitet, Aarhus.

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630F09_lec_graph091118 - 1 [n], b 2 [n], . .. b M [n], as...

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