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DSP System Design


©2004 Springer Science + Business Media, Inc.
Print ©2003 Kluwer Academic Publishers
All rights reserved
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Contents
Contributing Authors
Preface
Symbols and Abbreviations
Polyphase IIR Filters
Frequency Transformations
Filter Implementation
VHDL Filter Implementation
Appendix
References
Index
vii
ix
xi
1
99
153
199
221
227
233
Contributing Authors
Artur Krukowski is with the University of Westminster since 1993
working as an Academic Researcher, then since 1999 as a Post Doctoral
Researcher in Advanced DSP Systems in the Applied DSP and VLSI
Research Group and since 2001 as a permanent member of the research staff.
His areas of interest include Multi-rate Digital Signal Processing for
Telecommunication Systems, digital filter design and their efficient lowlevel
implementation, integrated circuit design, Digital Audio Broadcasting,
Teleconferencing and Internet Technologies for Teaching.
is with the University of Westminster (formerly the Polytechnic
of Central London) since 1984. He is currently Professor of Applied DSP
and VLSI Systems, leading the Applied DSP and VLSI Research Group at
the University of Westminster. His research and teaching activities include
digital and analog signal processing, silicon circuit and system design,
digital filter design and implementation, A/D and D/A sigma-delta
converters. He is currently working on efficiently implementable, lowpower
DSP algorithms/architectures and Sigma-Delta modulator structures
for use in the communications and biomedical industries.
Preface
This work presents the investigation of special type of IIR polyphase
filter structures combined with frequency transformation techniques used for
fast, multi-rate filtering, and their application for custom fixed-point
implementation. Despite a lot of work being done on these subjects, there
are still many unanswered questions. While a detailed coverage for all these
questions in a single text is impossible, an honest effort has been made in
this research monograph to address the exact analysis of the polyphase IIR
structures and issues associated with their efficient implementation.
Detailed theoretical analysis of the polyphase IIR structure has been
presented for two and three coefficients in the two-path arrangement. This
was then generalized for arbitrary filter order and any number of paths. The
use of polyphase IIR structures in decimation and interpolation is being
presented and performance assessed in terms of the number of calculations
required for the given filter specification and the simplicity of
implementation. Specimen decimation filter designs to be used in Sigma-
Delta lowpass and bandpass A/D converters are presented which seem to
outperform traditional approaches.
A new exact multi-point frequency transformation approach for arbitrary
frequency choice has been suggested and evaluated. The use of this
frequency transformation has been applied to the example of multi-band
filter based on the polyphase IIR structure. Such filters substantially
improved upon the standard techniques in terms of band to band oscillations,
overall filter order, passband ripples and calculation burden for the given
filter specification.
A new “bit-flipping” algorithm has been developed to aid in filter design
where the coefficient wordlength is constraint. Also, the standard Downhill
Simplex Method (floating-point) was modified to operate with the
constrained coefficient wordlength. Performance of both these advances is
being evaluated on a number of examples of polyphase filters.
Novel decimation and interpolation structures have been proposed, which
can be implemented very efficiently. These allow an arbitrary order IIR antialiasing
filter to operate at the lower rate of the decimator/interpolator.
Similar structures for polyphase IIR decimator/interpolator structures are
being discussed too.
A new approach to digital filter design and implementation has been
suggested which speeds-up silicon implementation of designs developed in
Matlab. The Matlab program is being developed which takes the Simulink
block description and converts it into a VHDL description. This in turn can
be compiled, simulated, synthesized and fabricated without the need to go
through the design process twice, first algorithmic/structural design and then
the implementation. The design was tested on the example 14-bit polyphase
two-path two-coefficient polyphase filter. The structural Simulink design has
been converted into VHDL and compared bit-to-bit.
This research monograph resulted from a doctoral study completed by the
first author at the University of Westminster, London, UK, while working
under the supervision of Prof.
Artur Krukowski

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看看是那个系列的
谢谢
:11bb

DSP总觉得很难，不知道能不能看懂。

:hi :hi :hi
先支持一个，谢谢

看看先…………………………………………谢谢楼主

DSP是不是很难学的啊 ，看不懂啊

看看先…………………………………………谢谢楼主

看看先…………………………………………谢谢楼主

看看先…………………………………………谢谢楼主

看看先…………………………………………谢谢楼主

看看先…………………………………………谢谢楼主