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Multirate Filtering for Digital Signal Processing: MATLAB Applications

Ljiljana Milic

ISBN13: 9781605661780|ISBN10: 1605661783|EISBN13: 9781605661797|ISBN13 Softcover: 9781616924744

DOI: 10.4018/978-1-60566-178-0

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MLA

Milic, Ljiljana. Multirate Filtering for Digital Signal Processing: MATLAB Applications. IGI Global, 2009. https://doi.org/10.4018/978-1-60566-178-0

APA

Milic, L. (2009). Multirate Filtering for Digital Signal Processing: MATLAB Applications. IGI Global. https://doi.org/10.4018/978-1-60566-178-0

Chicago

Milic, Ljiljana. Multirate Filtering for Digital Signal Processing: MATLAB Applications. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-178-0

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Multirate signal processing techniques are widely used in many areas of modern engineering such as communications, digital audio, measurements, image and signal processing, speech processing, and multimedia.

Multirate Filtering for Digital Signal Processing: MATLAB Applications covers basic and advanced approaches in the design and implementation of multirate filtering. This authoritative volume considers the role of filters in multirate systems, provides efficient solutions of finite and infinite impulse response filters for sampling rate conversion, and discusses examples of multirate multilevel filter banks, offering a must-have book for practitioners and scholars in multirate signal processing.

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Front Materials

Title Page

Dedication

Foreword

Preface

Acknowledgment

Chapters

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Chapter 1

Single-Rate Discrete-Time Signals and Systems: Background Review (pages 1-22)

Ljiljana Milic

This chapter is a concise review of time-domain and transform-domain representations of single-rate discrete-time signals and systems. We consider first the time-domain representation of discrete-time signals and systems. The...

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Chapter 2

Basics to Multirate Systems (pages 23-63)

Ljiljana Milic

Linear time-invariant systems operate at a single sampling rate i.e. the sampling rate is the same at the input and at the output of the system, and at all the nodes inside the system. Thus, in an LTI system, the sampling rate...

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Chapter 3

Filters in Multirate Systems (pages 64-102)

Ljiljana Milic

The role of filtering in sampling-rate conversion has been considered in Chapter II. The importance of filtering arises from the fact that the sampling theorem should be respected for all the sampling rates of the system at hand....

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Chapter 4

FIR Filters for Sampling Rate Conversion (pages 103-135)

Ljiljana Milic

The role of filters in sampling-rate conversion process has been discussed in Chapters II and III. Filters are used to suppress aliasing in decimators and to remove images in interpolators. The overall performance of a decimator or...

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Chapter 5

IIR Filters to Sampling Rate Conversion (pages 136-170)

Ljiljana Milic

Infinite impulse response (IIR) filters are used in applications where the computational efficiency is the highest priority. It is well known that an IIR filter transfer function is of a considerably lower order than the transfer...

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Chapter 6

Sampling Rate Converison by a Fractional Factor (pages 171-205)

Ljiljana Milic

We have discussed so far the decimation and interpolation where the sampling rate conversion factor is an integer. However, the need for a non-integer sampling rate conversion appears when the two systems operating at different...

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Chapter 7

Lth-Band Digital Filters (pages 206-241)

Ljiljana Milic

Digital Lth-band FIR and IIR filters are the special classes of digital filters, which are of particular interest both in single-rate and multirate signal processing. The common characteristic of Lth-band lowpass filters is that the...

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Chapter 8

Complementary Filter Pairs (pages 242-273)

Ljiljana Milic

Digital filters with complementary characteristics find many applications in practice. In this chapter, we concentrate on the properties and construction of complementary filters and filter pairs. An important application of...

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Chapter 9

Multirate Techniques in Filter Design and Implementation (pages 274-294)

Ljiljana Milic

Digital filters with sharp transition bands are difficult, sometimes impossible, to be implemented using single-stage structures. A serious problem with a single-stage sharp FIR filter is its complexity. The FIR filter length is...

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Chapter 10

Frequency-Reponse Masking Techniques (pages 295-315)

Ljiljana Milic

The initial concept of the frequency-response masking technique was introduced by Neuvo, Cheng-Yu and Mitra (1984). It was shown that the complexity of a linear phase FIR filter can be considerably reduced by using the cascade...

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Chapter 11

Comb-Based Filters for Sampling Rate Conversion (pages 316-346)

Ljiljana Milic

Comb filters are developed from the structures based on the moving average (boxcar) filter. The combbased filter has unity-valued coefficients and, therefore, can be implemented without multipliers. This filter class can operate at...

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Chapter 12

Examples of Multirate Filter Banks (pages 347-384)

Ljiljana Milic

The purpose of this chapter is to illustrate by means of examples the construction of the analysis and synthesis filter banks with the use of FIR and IIR two-channel filter banks as the basic building blocks. In Chapter VIII, we have...

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Appendix A

About the Author

Index

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