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Introduction to Digital Filters

Introduction to Digital Filters
Author: Julius Orion Smith
Publisher: Julius Smith
Total Pages: 481
Release: 2007
Genre: Digital electronics
ISBN: 0974560715

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A digital filter can be pictured as a "black box" that accepts a sequence of numbers and emits a new sequence of numbers. In digital audio signal processing applications, such number sequences usually represent sounds. For example, digital filters are used to implement graphic equalizers and other digital audio effects. This book is a gentle introduction to digital filters, including mathematical theory, illustrative examples, some audio applications, and useful software starting points. The theory treatment begins at the high-school level, and covers fundamental concepts in linear systems theory and digital filter analysis. Various "small" digital filters are analyzed as examples, particularly those commonly used in audio applications. Matlab programming examples are emphasized for illustrating the use and development of digital filters in practice.


Recursive Digital Filters

Recursive Digital Filters
Author: Stefan Hollos
Publisher: Abrazol Publishing
Total Pages: 128
Release: 2014-12-01
Genre:
ISBN: 9781887187275

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This book is a very concise introduction to recursive digital filters. The goal is to get the reader to the point where he or she can understand and use these filters as quickly as possible. To accomplish this we have kept the amount of mathematical background material to a minimum and have included many examples. But make no mistake, this is not a book for dummies or complete idiots. Some degree of mathematical sophistication is required. If you have never used complex numbers and do not know what Euler's identity is, then this book is not for you. If you have a basic physical science mathematics background, then you should have no problem with this book. We start with a short introduction to the minimum mathematics required to describe, use, and design recursive digital filters. This includes a description of the z-transform, filter system functions, and the frequency response. This is followed by examples of the simplest possible low pass, high pass, band pass, and band stop filters. There are examples showing how to use all these filters. A section on band stop filter banks is also included. The design portion of the book covers impulse invariance and bilinear transform design. We give a minimum theoretical description of these methods and plenty of examples. For the bilinear transform method we show how to turn analog low pass Butterworth filters into digital low pass, high pass, band pass, and band stop filters. Being able to convert analog filters to digital is useful because analog filter design is a more mature and well understood subject. The final section of the book is on analog Butterworth filters. The filter software used in this book is written by the authors, and is available free on the book's web page at http: //www.abrazol.com/books/filter1/ The programs are written in the C programming language, and will have to be compiled before you can use them. You do not have to know C to use the programs or understand the contents of the book. There is a C language compiler for every major operating system. A good one that is also free is gcc. Some of these programs have also been converted to the awk scripting language.


Pipelined Lattice and Wave Digital Recursive Filters

Pipelined Lattice and Wave Digital Recursive Filters
Author: Jin-Gyun Chung
Publisher: Springer Science & Business Media
Total Pages: 231
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1461313074

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Pipelined Lattice and Wave Digital Recursive Filters uses look-ahead transformation and constrained filter design approaches. It is also shown that pipelining often reduces the roundoff noise in a digital filter. The pipelined recursive lattice and wave digital filters presented are well suited where increasing speed and reducing area or power or roundoff noise are important. Examples are wireless and cellular codec applications, where low power consumption is important, and radar and video applications, where higher speed is important. The book presents pipelining of direct-form recursive digital filters and demonstrates the usefulness of these topologies in high-speed and low-power applications. It then discusses fundamentals of scaling in the design of lattice and wave digital filters. Approaches to designing four different types of lattice digital filters are discussed, including basic, one-multiplier, normalized, and scaled normalized structures. The roundoff noise in these lattice filters is also studied. The book then presents approaches to the design of pipelined lattice digital filters for the same four types of structures, followed by pipelining of orthogonal double-rotation digital filters, which eliminate limit cycle problems. A discussion of pipelining of lattice wave digital filters follows, showing how linear phase, narrow-band, sharp-transition recursive filters can be implemented using this structure. This example is motivated by a difficult filter design problem in a wireless codec application. Finally, pipelining of ladder wave digital filters is discussed. Pipelined Lattice and Wave Digital Recursive Filters serves as an excellent reference and may be used as a text for advanced courses on the subject.


Introduction to Digital Filters

Introduction to Digital Filters
Author: Trevor J. Terrell
Publisher: John Wiley & Sons
Total Pages: 248
Release: 1980
Genre: Mathematics
ISBN:

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Digital Filtering in One and Two Dimensions

Digital Filtering in One and Two Dimensions
Author: M. Ahmadi
Publisher: Springer Science & Business Media
Total Pages: 480
Release: 2013-06-29
Genre: Technology & Engineering
ISBN: 1489909184

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This book has been conceived to extend the generally published work on one- and two-dimensional digital filters in order to include some of the more recently developed ideas. It is intended to supplement and build on the classical books which cover the fundamental concepts of the topic. As a consequence of this, the basic theory is stated in a compact manner and is not developed thoroughly, as this would result in considerable duplication of existing books. The main theme of the book has been to provide a comprehensive background to the methods available for the realization of both recursive and nonrecursive digital filters, and to give an insight into some of the more recent implementation procedures. The book is planned to cover one- and two-dimensional systems in parallel, showing the techniques which are applicable in both areas, and also the limitations and constraints necessary when a one-dimensional technique is extended to systems of higher dimensionality. The theme of the book commences with several chapters on the design of filter transfer functions to meet given specifications. This is followed by a discussion of methods of implementing these in a practical system and the limitations imposed as a result of noise and finite word length. Finally, a discussion of some applications is included.


Nonlinear Digital Filtering with Python

Nonlinear Digital Filtering with Python
Author: Ronald K. Pearson
Publisher: CRC Press
Total Pages: 286
Release: 2018-09-03
Genre: Medical
ISBN: 1498714137

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Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and behavioral approaches in characterizing and designing nonlinear digital filters, this book: Begins with an expedient introduction to programming in the free, open-source computing environment of Python Uses results from algebra and the theory of functional equations to construct and characterize behaviorally defined nonlinear filter classes Analyzes the impact of a range of useful interconnection strategies on filter behavior, providing Python implementations of the presented filters and interconnection strategies Proposes practical, bottom-up strategies for designing more complex and capable filters from simpler components in a way that preserves the key properties of these components Illustrates the behavioral consequences of allowing recursive (i.e., feedback) interconnections in nonlinear digital filters while highlighting a challenging but promising research frontier Nonlinear Digital Filtering with Python: An Introduction supplies essential knowledge useful for developing and implementing data cleaning filters for dynamic data analysis and time-series modeling.


Computer Vision and Graphics

Computer Vision and Graphics
Author: K. Wojciechowski
Publisher: Springer Science & Business Media
Total Pages: 532
Release: 2006-02
Genre: Computers
ISBN: 9781402041785

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This volume, and the accompanying CD-ROM, contain 163 contributions from ICCVG04, which is one of the main international conferences in computer vision and computer graphics in Central Europe. This biennial conference was organised in 2004 jointly by the Association for Image Processing, the Polish-Japanese Institute of Information Technology, and the Silesian University of Technology. The conference covers a wide scope, including Computer Vision, Computational Geometry, Geometrical Models of Objects and Sciences, Motion Analysis, Visual Navigation and Active Vision, Image and Video Coding, Color and Multispectral Image Processing, Image Filtering and Enhancement, Virtual Reality and Multimedia Applications, Biomedical Applications, Image and Video Databases, Pattern Recognition, Modelling of Human Visual Perception, Computer Animation, Visualization and Data Presentation. These proceedings document cutting edge research in computer vision and graphics, and will be an essential reference for all researchers working in the area.


Designing Digital Filters

Designing Digital Filters
Author: Charles Sumner Williams
Publisher: Prentice Hall
Total Pages: 376
Release: 1986
Genre: Mathematics
ISBN:

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