A Computational Model for Adaptive Communication Channel Estimation
AUTHOR | Solomon Akinboro |
PUBLISHER | LAP Lambert Academic Publishing (04/04/2014) |
PRODUCT TYPE | Paperback (Paperback) |
Description
The work formulated a variable partial update model for adaptive communication channel estimation with a view to improving signal error at the receiver station. The proposed model consist of discrete signal input, unknown channel, digital filter and adaptation algorithm. The digital filter is a finite impulse response transversal adaptive filter while the adaptation algorithm is a least mean square algorithm. The model was implemented using variable partial update of the filter coefficients.
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Product Format
Product Details
ISBN-13:
9783659525186
ISBN-10:
3659525189
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
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Page Count:
96
Carton Quantity:
72
Product Dimensions:
6.00 x 0.23 x 9.00 inches
Weight:
0.33 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Networking - General
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The work formulated a variable partial update model for adaptive communication channel estimation with a view to improving signal error at the receiver station. The proposed model consist of discrete signal input, unknown channel, digital filter and adaptation algorithm. The digital filter is a finite impulse response transversal adaptive filter while the adaptation algorithm is a least mean square algorithm. The model was implemented using variable partial update of the filter coefficients.
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$63.99