Adaptive IIR anti-aliasing filter design /
The goal of this research has been to investigate the theoretical design and physical implementation of a digital adaptive IIR filter to serve as a replacement for the traditional active RC or passive RLC anti-aliasing filter. This all-digital anti-aliasing filter will reside directly on the DSP eng...
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| Format: | Thesis Book |
| Language: | English |
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[Place of publication not identified] :
[publisher not identified] ;
1999.
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| Subjects: | |
| Online Access: | http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=731681761&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD |
| Summary: | The goal of this research has been to investigate the theoretical design and physical implementation of a digital adaptive IIR filter to serve as a replacement for the traditional active RC or passive RLC anti-aliasing filter. This all-digital anti-aliasing filter will reside directly on the DSP engine. At the present time, DSP processors, such as the TMS320c30, rely on an analog anti-aliasing filter which is a separate component located away from the processor. Anti-aliasing filters are very important components of digital signal processing systems: Virtually every DSP system has one, and their proper design is of paramount importance. Once aliased signals are folded back into the low frequency signal band, these errors are virtually impossible to subsequently correct. This research predominately focused on employing the recursive least squares algorithm. After reviewing the current literature on adaptive filtering schemes, almost every author to date has selected a statistical framework from which to work. Statistical methods work efficiently for: wide-sense stationary processes; signals modeled as minimum variance, autoregressive, or least squares; or signals having distributions which are known. In most cases the distributions are assumed based on some historical evidence, but usually all of these signals fall into the category of well-behaved. The present filter is for applications in which the distribution is unknown and cannot be categorized as wide sense stationary. This research also employed the least mean squares algorithm to provide an exploratory IIR filter design that exhibits linear phase in its passband. |
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| Item Description: | Vita. "Major Subject: Electrical Engineering". |
| Physical Description: | xv, 169 leaves : illustrations ; 28 cm. Issued also on microfiche from University Microfilm Inc. |
| Bibliography: | Includes bibliographical references (leaves 150-153). |