Performance analysis of adaptive lattice filters for FM signals and alpha-stable processes
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Summary
This thesis investigates the performance of finite impulse response adaptive lattice filters for two classes of input signals: frequency modulated signals with polynomial phases of order p in complex Gaussian white noise and the impulsive autoregressive processes with alpha-stable distributions.
- Type
- article
- Published
- 1998-01-01
- Cited by
- 1
- References
- 18
- OpenAlex
- https://openalex.org/W100325353
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:116657648
Keywords
Adaptive filter, Mathematics, Algorithm, Lattice phase equaliser, Control theory (sociology)
References
- Adaptive digital filters and signal analysis
- A Design Method of an Adaptive Multichannel IIR Lattice Predictor for k-Step Ahead Prediction
- A Design Method of an Adaptive Joint-Process IIR Filter with Generalized Lattice Structure
- Design and Analysis of Algorithms
- One-dimensional stable distributions
- Adaptive filtering approaches for non-Gaussian stable processes
- Comparison of RLS and LMS algorithms for tracking a chirped signal
- Mellin-Stieltjes Transforms in Probability Theory
- Adaptive enhancement of multiple sinusoids in uncorrelated noise
- Digital lattice and ladder filter synthesis
- Adaptive filtering for non-Gaussian stable processes
- Tracking characteristics of the LMS adaptive line enhancer-response to a linear chirp signal in noise
- On a new adaptive lattice algorithm for recursive filters
- Adaptive high-resolution algorithms for tracking nonstationary sources without the estimation of source number
- Estimating and interpreting the instantaneous frequency of a signal. II. A/lgorithms and applications
- A Design Method of an Adaptive Multichannel IIR Filter with Generalized Lattice Structure
- Adaptive recovery of a chirped sinusoid in noise. II. Performance of the LMS algorithm
- Frequency Tracking of Periodic Signals in Noise
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