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Learn how to write a Java program that illustrates adaptive identification filtering and adaptive inverse filtering. Exercise the program for different scenarios.

Table of contents

Preface

This is a cover page for a tutorial named Adaptive Identification and Inverse Filtering using Java that was published by Prof. Baldwin around 2006. Some things don't change with time and the contentsof the tutorial are as relevant today as when the tutorial was originally published.

You can access the tutorial in either HTML or PDF format by clicking on one of the links below:

(See the caution below regarding HTML and the openstax presentation format.)

Legacy content and references

The tutorial may contain references to source code that is defined in other tutorials. Prof. Baldwin has attempted to make certain that all of the source code requiredby each tutorial is contained within that tutorial. However, if the tutorial refers to another tutorial or to a program that is not included, try searching for it by title on cnx.org or on the web. It isprobably available somewhere.

The tutorial may contain internal links to other tutorials that Prof. Baldwin has written and published somewhere on the web. Those links may, or may notstill be good. In any event, if you search cnx.org for the referenced tutorial by title or by topic, you will probably find a clean copy of the referenced tutorial on cnx.org.

By publishing the tutorial on the openstax CNX site, the tutorial is being licensed under a Creative Commons Attribution 4.0 License even though the copyright notice on the original tutorial document may be morerestrictive.

Legacy versus openstax presentation format

Early in 2014, cnx.org began a transition from a legacy presentation format to a new openstax presentation format. As of April 7, 2014, some of the functionality of the legacy presentation format that isrequired by this module had not yet been ported to the openstax presentation format. (In particular, image files referenced by hyperlinks in the HTML version of thetutorial may not display properly in the openstax presentation format.)

This issue should be resolved at some point in the future. In the meantime, one of your options is to select and view the PDF version of the tutorial using the PDF link provided above.

A second option is to click the Legacy Site link at the top of this page (assuming that you are not already on the Legacy Site) and view the tutorial in its original HTML format. (The HTML format is more reliable than the PDF format, particularly with regardto source code listings.)

Later, when the issue mentioned above is resolved, you can select either the PDF version or the HTMLversion directly from the openstax presentation page, whichever you prefer.

Miscellaneous

This section contains a variety of miscellaneous information.

Housekeeping material
  • Module name: Java2358-Adaptive Identification and Inverse Filtering using Java
  • File: Java2358.htm
  • Published: 04/24/14
Disclaimers:

Financial : Although the openstax CNX site makes it possible for you to download a PDF file for the collection that contains thismodule at no charge, and also makes it possible for you to purchase a pre-printed version of the PDF file, you should beaware that some of the HTML elements in this module may not translate well into PDF.

You also need to know that Prof. Baldwin receives no financial compensation from openstax CNX even if you purchase the PDF version of the collection.

In the past, unknown individuals have copied Prof. Baldwin's modules from cnx.org, converted them to Kindle books, and placed them for sale on Amazon.com showing Prof. Baldwin as the author.Prof. Baldwin neither receive compensation for those sales nor does he know who doesreceive compensation. If you purchase such a book, please be aware that it is a copy of a collection that is freelyavailable on openstax CNX and that it was made and published without the prior knowledge of Prof. Baldwin.

Affiliation : Prof. Baldwin is a professor of Computer Information Technology at Austin Community College in Austin, TX.

-end-

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Source:  OpenStax, Digital signal processing - dsp. OpenStax CNX. Jan 06, 2016 Download for free at https://legacy.cnx.org/content/col11642/1.38
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