Discrete nonlinear inverse filtering

Simple item page
dc.contributor.advisorFigueiredo, Rui J. P. de
dc.creatorRajala, Sarah A.
dc.date.accessioned2018-12-18T21:21:06Z
dc.date.available2018-12-18T21:21:06Z
dc.date.issued1977
dc.description.abstractA new mathematical derivation is developed for the solution of the problem of nonlinear inverse filtering. It is derived for systems with finite deterministic signals, i. e., the output y of the system is a finite set of data samples. It is assumed that the system generating this output can be represented by a discrete Volterra series, the kernels of this series being known. With knowledge of both the output and these nonlinear kernels# the model is derived for the nonlinear inverse filter. The output of this filter x<n) is the best approximation to the original input x(n) in a least squares sense. In order to guarantee that the series will converge, it was assumed that the nonlinearities are not too violent. Under this assumption, the proposed formulation works well. It has been tested with quadratic and/or cubic nonlinearities in the system. In these tests, the inputs used were a sampled unit step and a sampled sinusoid.
dc.format.digitalOriginreformatted digital
dc.format.extent87 pp
dc.identifier.callnoTHESIS E.E. 1977 RAJALA
dc.identifier.citationRajala, Sarah A.. "Discrete nonlinear inverse filtering." (1977) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/104332">https://hdl.handle.net/1911/104332</a>.
dc.identifier.digitalRICE1964
dc.identifier.urihttps://hdl.handle.net/1911/104332
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.titleDiscrete nonlinear inverse filtering
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
RICE1964.pdf
Size:
2.02 MB
Format:
Adobe Portable Document Format
Download
Collections
Rice University Electronic Theses and Dissertations