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Unformatted text preview: type of filter algorithm you would use for improved computational efficiency. L / M = 960 / 441 = 320 /147 L = 320, M = 147 G = L = 320 c (ideal) = min( / L , / M ) = / 320 (interpolating filter dominates) p (practical) = 2 20 kHz L 44.1 kHz = 0.00283 = .0089 s (practical) = 2 24.1 kHz M 44.1 kHz = 0.00342 = .0107 For efficency, implement the LPF as a polyphase decimating filter to reduce computational load by 147! You could also implement it as a polyphase upsampling filter, with a computational savings of 320. For super efficiency the commutator can skip M samples at a time, and you only compute the interpolator polyphase filter outputs when needed. This is a computational savings of (147)(320)!!!! L M H ( z ). LPF corner at c x [ n ] y [ k ]...
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This note was uploaded on 03/16/2012 for the course ECEN 487 taught by Professor Dr.brianjeffs during the Winter '12 term at BYU.
 Winter '12
 Dr.BrianJeffs

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