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This book discusses the problems that should be solved by nonlinear digital filtering and analyzes the drawbacks of the basic solutions, the mean and the median filters. It explores the intimate connection between filtering and statistical estimation.
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This book discusses the problems that should be solved by nonlinear digital filtering and analyzes the drawbacks of the basic solutions, the mean and the median filters. It explores the intimate connection between filtering and statistical estimation.
Produktdetails
- Produktdetails
- Electronic Engineering Systems
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 288
- Erscheinungstermin: 2. Dezember 2019
- Englisch
- Abmessung: 210mm x 150mm x 22mm
- Gewicht: 381g
- ISBN-13: 9780367448257
- ISBN-10: 0367448254
- Artikelnr.: 58440876
- Electronic Engineering Systems
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 288
- Erscheinungstermin: 2. Dezember 2019
- Englisch
- Abmessung: 210mm x 150mm x 22mm
- Gewicht: 381g
- ISBN-13: 9780367448257
- ISBN-10: 0367448254
- Artikelnr.: 58440876
Astola\, Jaakko; Kuosmanen\, Pauli
Nonlinear Signal Processing: Signal Processing Model. Signal and Noise
Models. Fundamental Problems in Noise Removal. Algorithms. Statistical
Preliminaries: Random Variables and Distributions. Signal and Noise Models.
Estimation. Some Useful Distributions. 1001 Solutions: Trimmed Mean
Filters. Other Trimmed Mean Filters. L-Filters. C-Filters (Ll-Filters).
Weighted Median Filters. Ranked-Order and Weighted Order Statistic Filters.
Multistage Median Filters. Median Hybrid Filters. Edge-Enhancing Selective
Filters. Rank Selection Filters. M-Filters. R-Filters. Weighted Majority
with Minimum Range Filters. Nonlinear Mean Filters. Stack Filters.
Generalizations of Stack Filters. Morphological Filters. Soft Morphological
Filters. Polynomial Filters. Data-Dependent Filters. Decision-Based
Filters. Iterative, Cascaded, and Recursive Filters. Some Numerical
Measures of Nonlinear Filters. Discussion. Statistical Analysis and
Optimization of Nonlinear Filters: Methods Based on Order Statistics. Stack
Filters. Multistage and Hybrid Filters. Discussion. Exercises.
Bibliography. Index.
NTI/Sales Copy
Models. Fundamental Problems in Noise Removal. Algorithms. Statistical
Preliminaries: Random Variables and Distributions. Signal and Noise Models.
Estimation. Some Useful Distributions. 1001 Solutions: Trimmed Mean
Filters. Other Trimmed Mean Filters. L-Filters. C-Filters (Ll-Filters).
Weighted Median Filters. Ranked-Order and Weighted Order Statistic Filters.
Multistage Median Filters. Median Hybrid Filters. Edge-Enhancing Selective
Filters. Rank Selection Filters. M-Filters. R-Filters. Weighted Majority
with Minimum Range Filters. Nonlinear Mean Filters. Stack Filters.
Generalizations of Stack Filters. Morphological Filters. Soft Morphological
Filters. Polynomial Filters. Data-Dependent Filters. Decision-Based
Filters. Iterative, Cascaded, and Recursive Filters. Some Numerical
Measures of Nonlinear Filters. Discussion. Statistical Analysis and
Optimization of Nonlinear Filters: Methods Based on Order Statistics. Stack
Filters. Multistage and Hybrid Filters. Discussion. Exercises.
Bibliography. Index.
NTI/Sales Copy
Nonlinear Signal Processing: Signal Processing Model. Signal and Noise Models. Fundamental Problems in Noise Removal. Algorithms. Statistical Preliminaries: Random Variables and Distributions. Signal and Noise Models. Estimation. Some Useful Distributions. 1001 Solutions: Trimmed Mean Filters. Other Trimmed Mean Filters. L-Filters. C-Filters (Ll-Filters). Weighted Median Filters. Ranked-Order and Weighted Order Statistic Filters. Multistage Median Filters. Median Hybrid Filters. Edge-Enhancing Selective Filters. Rank Selection Filters. M-Filters. R-Filters. Weighted Majority with Minimum Range Filters. Nonlinear Mean Filters. Stack Filters. Generalizations of Stack Filters. Morphological Filters. Soft Morphological Filters. Polynomial Filters. Data-Dependent Filters. Decision-Based Filters. Iterative, Cascaded, and Recursive Filters. Some Numerical Measures of Nonlinear Filters. Discussion. Statistical Analysis and Optimization of Nonlinear Filters: Methods Based on Order Statistics. Stack Filters. Multistage and Hybrid Filters. Discussion. Exercises. Bibliography. Index.
NTI/Sales Copy
NTI/Sales Copy
Nonlinear Signal Processing: Signal Processing Model. Signal and Noise
Models. Fundamental Problems in Noise Removal. Algorithms. Statistical
Preliminaries: Random Variables and Distributions. Signal and Noise Models.
Estimation. Some Useful Distributions. 1001 Solutions: Trimmed Mean
Filters. Other Trimmed Mean Filters. L-Filters. C-Filters (Ll-Filters).
Weighted Median Filters. Ranked-Order and Weighted Order Statistic Filters.
Multistage Median Filters. Median Hybrid Filters. Edge-Enhancing Selective
Filters. Rank Selection Filters. M-Filters. R-Filters. Weighted Majority
with Minimum Range Filters. Nonlinear Mean Filters. Stack Filters.
Generalizations of Stack Filters. Morphological Filters. Soft Morphological
Filters. Polynomial Filters. Data-Dependent Filters. Decision-Based
Filters. Iterative, Cascaded, and Recursive Filters. Some Numerical
Measures of Nonlinear Filters. Discussion. Statistical Analysis and
Optimization of Nonlinear Filters: Methods Based on Order Statistics. Stack
Filters. Multistage and Hybrid Filters. Discussion. Exercises.
Bibliography. Index.
NTI/Sales Copy
Models. Fundamental Problems in Noise Removal. Algorithms. Statistical
Preliminaries: Random Variables and Distributions. Signal and Noise Models.
Estimation. Some Useful Distributions. 1001 Solutions: Trimmed Mean
Filters. Other Trimmed Mean Filters. L-Filters. C-Filters (Ll-Filters).
Weighted Median Filters. Ranked-Order and Weighted Order Statistic Filters.
Multistage Median Filters. Median Hybrid Filters. Edge-Enhancing Selective
Filters. Rank Selection Filters. M-Filters. R-Filters. Weighted Majority
with Minimum Range Filters. Nonlinear Mean Filters. Stack Filters.
Generalizations of Stack Filters. Morphological Filters. Soft Morphological
Filters. Polynomial Filters. Data-Dependent Filters. Decision-Based
Filters. Iterative, Cascaded, and Recursive Filters. Some Numerical
Measures of Nonlinear Filters. Discussion. Statistical Analysis and
Optimization of Nonlinear Filters: Methods Based on Order Statistics. Stack
Filters. Multistage and Hybrid Filters. Discussion. Exercises.
Bibliography. Index.
NTI/Sales Copy
Nonlinear Signal Processing: Signal Processing Model. Signal and Noise Models. Fundamental Problems in Noise Removal. Algorithms. Statistical Preliminaries: Random Variables and Distributions. Signal and Noise Models. Estimation. Some Useful Distributions. 1001 Solutions: Trimmed Mean Filters. Other Trimmed Mean Filters. L-Filters. C-Filters (Ll-Filters). Weighted Median Filters. Ranked-Order and Weighted Order Statistic Filters. Multistage Median Filters. Median Hybrid Filters. Edge-Enhancing Selective Filters. Rank Selection Filters. M-Filters. R-Filters. Weighted Majority with Minimum Range Filters. Nonlinear Mean Filters. Stack Filters. Generalizations of Stack Filters. Morphological Filters. Soft Morphological Filters. Polynomial Filters. Data-Dependent Filters. Decision-Based Filters. Iterative, Cascaded, and Recursive Filters. Some Numerical Measures of Nonlinear Filters. Discussion. Statistical Analysis and Optimization of Nonlinear Filters: Methods Based on Order Statistics. Stack Filters. Multistage and Hybrid Filters. Discussion. Exercises. Bibliography. Index.
NTI/Sales Copy
NTI/Sales Copy