The research in this dissertation addresses reduced rank adaptive signal processing, with specic emphasis on the multistage Wiener lter (MWF). The MWF is a generalization of the classical Wiener lter that performs a stage-by-stage decomposition based on orthogonal projections. Truncation of this decomposition produces a reduced rank lter with many benets, for example, improved performance.

Hiemstra_Dissertation_10Apr03.pdf

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．