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Rating: 
Summary: Good For My Career
Review: This book has scored career points for me several times. Most engineers learn about linear digital filters in school. Sometimes they will wrestle for weeks trying to solve a problem with a linear filter. That's when I come swinging in out of the trees with a simple non-linear filter to solve the problem. This book has been my best resource to back me up.I've found that I dive right into any chapter and get what I need. There are numerous examples from image processing which show the effects of the various non-linear digital filters visually. Although the book is biased to filtering problem in image processing, I've used the sections on M-estimators, L-estimators, R-estimators, median filters, and the variants of order statistic filters in many problems not related to images. One particularly good example, solved an echo problem with determining range to a mobile phone in a multipath environment. The reflections off buildings as the phone traveled is a highly non-linear problem. My colleages worked furously for weeks trying to optimize an IIR filter with many "special" cases. I proposed an order statistic filter that was proven to solve the problem in one day. This book is my secret weapon. Is this book better than newer ones on digital filters? In some chapters it is. However, I find this book as good as any I've seen. If this is your first purchase of a book on nonlinear digital filters, you can't go wrong.
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