PDF Download Fundamentals of Nonlinear Digital Filtering (Electronic Engineering Systems), by Jaakko Astola, Pauli Kuosmanen
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Fundamentals of Nonlinear Digital Filtering (Electronic Engineering Systems), by Jaakko Astola, Pauli Kuosmanen
PDF Download Fundamentals of Nonlinear Digital Filtering (Electronic Engineering Systems), by Jaakko Astola, Pauli Kuosmanen
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Fundamentals of Nonlinear Digital Filtering is the first book of its kind, presenting and evaluating current methods and applications in nonlinear digital filtering. Written for professors, researchers, and application engineers, as well as for serious students of signal processing, this is the only book available that functions as both a reference handbook and a textbook. Solid introductory material, balanced coverage of theoretical and practical aspects, and dozens of examples provide you with a self-contained, comprehensive information source on nonlinear filtering and its applications.
- Sales Rank: #1879447 in Books
- Brand: Brand: CRC Press
- Published on: 1997-05-21
- Original language: English
- Number of items: 1
- Dimensions: 10.25" h x 7.00" w x .75" l, 1.90 pounds
- Binding: Hardcover
- 288 pages
- Used Book in Good Condition
About the Author
Tampere University of Technology, Finland
Most helpful customer reviews
6 of 6 people found the following review helpful.
An excellent and accessible introduction.
By A Customer
This book provides a first class introduction to nonlinear digital filters. It's designed to be useful to readers of various levels of mathematical sophistication.
The first chapter is a short, simple, but excellent summary of the problem - worth reading just on its own.
Chapter 2 is a short review of some statistics: Straightforward for those with a first course in statistics, probably incomprehensible for those without. That's okay, much of the book doesn't require it.
Chapter 3 is the meat of the book. More than 50 types of filters are described, assesssed, and compared. The authors do a good job of guiding you through this potentially bewildering array by using the same examples, numerical measures, and formats throughout. Comparing methods is an easy and fascinating process (you'll do a lot of page flipping), allowing you to "cherry-pick" by ignoring those methods that give poor results or are overly difficult to implement. The summarizing table and scattergram at the end of chapter 3 are great.
Much of the mathematics has been banished to Chapter 4, where it doesn't bog down the main body of the book. You are free to ignore it, or tackle it when you get "serious" about a method. Thus the book works on a couple of different levels.
One problem is that many of the methods are given only brief descriptions. For example, there is little description on how the weights in weighted-median filtering might be arrived at. This is an understandable limitation, and an extensive bibliography is provided at the back.
0 of 1 people found the following review helpful.
A good starting for nonlinear filtering
By Justo S.
The book works all the time with 2 images, one artificial and one natural. This lets you analyze how every filter performs on different images. I wrote down my programs for all them, that's the best way to learn digital filtering.
A bit expensive? Yes. It's worth that price.
The fifth star is for a CD or floppy with the images.
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