1 edition of Pipelined Lattice and Wave Digital Recursive Filters found in the catalog.
Published
1996
by Springer US in Boston, MA
.
Written in English
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.
Edition Notes
| Statement | by Jin-Gyun Chung, Keshab K. Parhi |
| Series | The Kluwer International Series in Engineering and Computer Science -- 344, Kluwer international series in engineering and computer science -- 344. |
| Contributions | Parhi, Keshab K. |
| Classifications | |
|---|---|
| LC Classifications | TK7888.4 |
| The Physical Object | |
| Format | [electronic resource] / |
| Pagination | 1 online resource (240 pages). |
| Number of Pages | 240 |
| ID Numbers | |
| Open Library | OL27081274M |
| ISBN 10 | 1461285607, 1461313074 |
| ISBN 10 | 9781461285601, 9781461313076 |
| OCLC/WorldCa | 852788705 |
filters, because by means of network transformations a variety of other filter types such as high-pass, bandpass, and bandstop filters can be very easily derived from a certain low-pass filter. InputI Input2 Fig. 1. Wave-flow diagram of a lattice WDF equally resistively terminated. The reference filter is de-. In addition to publishing more than two hundred fifty papers and serving on the editorial boards of a number of professional journals, he has coauthored several books, most recently, Pipelined Lattice and Wave Digital Recursive Filters, and Digital Signal Processing for Multimedia Systems/5(23).
Pipelined and Parallel Recursive and Adaptive Filters Lan-Da Van (范倫達), Ph. D. Pipelined Adaptive Digital Filters Conclusions. Gradient Lattice algorithm . In addition to publishing more than two hundred fifty papers and serving on the editorial boards of a number of professional journals, he has coauthored several books, most recently, Pipelined Lattice and Wave Digital Recursive Filters, and Digital Signal Processing for Multimedia Systems. Contents: Introduction to Digital Signal Processing.
In addition to publishing more than two hundred fifty papers and serving on the editorial boards of a number of professional journals, he has coauthored several books, most recently, Pipelined Lattice and Wave Digital Recursive Filters, and Digital Signal Processing for Multimedia Systems.3/5(2). In addition to publishing more than two hundred fifty papers and serving on the editorial boards of a number of professional journals, he has coauthored several books, most recently, Pipelined Lattice and Wave Digital Recursive Filters, and Digital Signal Processing for /5(23).
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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.
Pipelined lattice and wave digital recursive filters. Boston: Kluwer Academic Publishers, © (OCoLC) Online version: Chung, Jin-Gyun.
Pipelined lattice and wave digital recursive filters. Boston: Kluwer Academic Publishers, © (OCoLC) Material Type: Internet resource: Document Type: Book, Internet Resource: All. Get this from a library. Pipelined Lattice and Wave Digital Recursive Filters.
[Jin-Gyun Chung; Keshab K Parhi] -- 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. 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 by: Chung JG., Parhi K.K.
() Digital Lattice Filter Structures. In: Pipelined Lattice and Wave Digital Recursive Filters. The Kluwer International Series in Engineering and Computer Science, vol Author: Jin-Gyun Chung, Keshab K.
Parhi. 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 Price: $ Books; K.K. Parhi, VLSI Digital Signal Processing Systems: Design and Implementation, Wiley, NY ; K.K. Parhi and T. Nishitani, Ed., Digital Signal processing for. Design of pipelined lattice IIR digital filters Conference Paper (PDF Available) in Circuits, Systems and Computers, Conference Record.
11th Asilomar Conference on December with. Pipelined Lattice and Wave Digital Recursive Filters (The Springer International Series in Engineering and Computer Science) Jin-Gyun Chung, Keshab K. Parhi Published by Springer (). In addition to publishing more than two hundred fifty papers and serving on the editorial boards of a number of professional journals, he has coauthored several books, most recently, Pipelined Lattice and Wave Digital Recursive Filters, and Digital Signal Processing for Multimedia Systems/5(7).
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 : Shin-Ichi Minato.
IEEE Signal Processing Society Staff, Takao Nishitani, Keshab K. Parhi, Institute of Electrical and Electronics Engineers IEEE: Pipelined Adaptive Digital Filters 1st Edition 0 Problems solved: Naresh R.
Shanbhag, Keshab K. Parhi: Pipelined Lattice and Wave Digital Recursive Filters 1st Edition 0 Problems solved: Keshab K. Parhi, Jin-Gyun Chung. Gazsi, Lajos, “Explicit Formulas for Lattice Wave Digital Filters”, IEEE Transactions on Circuits and Systems, Vol. 32, No.
1, pp.January Footnote [1] A color organ is a device that splits music up into numerous frequency bands and modulates colored lights (one color of light per band) according to the musical content.
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. Discover Book Depository's huge selection of Keshab K Parhi books online. Free delivery worldwide on over 20 million titles. Pipelined Lattice and Wave Digital Recursive Filters.
Jin-Gyun Chung Add to basket. Digit-Serial Computation. Richard Hartley. 12 Oct Paperback. US$ Add to basket. Pipelined Lattice and Wave Digital. Pipelined Lattice and Wave Digital Recursive Filters (The Springer International Series in Engineering and Computer Science) Keshab K.
Parhi $ - $ REFERENCES 1. Oppenheim and R. Schafer, Digital Signal Processing. Prentice Hall, 2. Vaidyanathan, “Low-noise and low-sensitivity digital filters,” in Handbook of Digital Signal Processing - Selection from VLSI Digital Signal Processing Systems: Design and Implementation [Book].
Pipelined Lattice and Wave Digital Recursive Filters avg rating — 3 ratings — published Want to Read saving /5(2). He has coauthored the research monographs Pipelined Adaptive Digital Filters (with Naresh Shanbhag, ), Digit-Serial Computation (with Richard Hartley, ) and Pipelined Lattice and Wave Digital Recursive Filters (with Jin-Gyun Chung, ), all published by Springer.
Parhi, KK & Messerschmitt, DG' Pipeline Interleaving and Parallelism in Recursive Digital Filters—Part I: Pipelining Using Scattered Look-Ahead and Decomposition ', IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.
37, no. 7, pp. Cited by:. In addition to publishing more than two hundred fifty papers and serving on the editorial boards of a number of professional journals, he has coauthored several books, most recently, Pipelined Lattice and Wave Digital Recursive Filters, and Digital Signal Processing for Multimedia : $T1 - Pipelining of Lattice IIR Digital Filters.
AU - Chung, Jin Gyun. AU - Parhi, Keshab K. PY - /4. Y1 - /4. N2 - In recent years, rapid advances in VLSI technology have had much impact on modern signal processing. Some of the desirable properties for VLSI realization are regularity, local connection and by: A Comparative Study of Pipelining Techniques for Recursive Filter Implemented in FPGA Ayesha Firdous, Abstract—This paper presents different pipelining approach for higher order recursive digital filter.
The performance of the filter is.
