Performance analysis of adaptive lattice filters for FM signals and alpha-stable processes
Kahaei, M.H (1998) Performance analysis of adaptive lattice filters for FM signals and alpha-stable processes. PhD thesis, Queensland University of Technology.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||QUT Thesis (PhD)|
|Additional Information:||Presented to the Signal Processing Research Centre, Queensland University of Technology.|
|Keywords:||Frequencies of oscillating systems, Signal theory (Telecommunications), Adaptive filters, adaptive algorithm, adaptive filter, adaptive line-enhancer, autoregressive process, Alpha-stable, cumulants, detection, distribution, fractional lower order moments, frequency modulated signal, Gaussian, impulsive signals, instantaneous frequency estimation, lattice filter, least-mean square algorithm, linear prediction, minimum mean-square error, minimum dispersion, moment, non-Gaussian, normalized algorithm, optimal coefficients, P-norm, reflection coefficient, residual errors, sign algorithm, sign-lattice algorithm, spectrum, stochastic gradient algorithm, stochastic gradient lattice algorithm, tracking model, transversal filter, thesis, doctoral|
|Institution:||Queensland University of Technology|
|Copyright Owner:||Copyright M.H Kahaei|
|Deposited On:||22 Sep 2010 23:04|
|Last Modified:||09 Feb 2011 23:55|
Repository Staff Only: item control page