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Advances in multirate systems
Dolecek G., Springer International Publishing, New York, NY, 2018. 221 pp. Type: Book (978-3-319592-73-2)
Date Reviewed: Aug 7 2018

Multirate systems are systems in which multiple sampling rates are used for filtering data/signals. This book describes some advances in multirate systems. The main focus is on digital signal processing (DSP)-related applications. The descriptions in the book are at the foundational equation, architecture, and experimental levels.

The first chapter is on the design of finite impulse response (FIR) filters. It presents a study of upsampling and downsampling systems, and describes an upsampling polar architecture, its front-end digital implementation, and performance results. System design and filter architectures are discussed for downsampling radio receivers.

The second chapter begins by explaining filter banks in multirate signal processing systems. It analyzes two-channel and M-channel filter banks, with the associated computational formulas, and reviews the research literature for these banks.

Decimation filters are used for decreasing sample rates. Chapter 3 discusses methods for improving comb decimation filters, a type of decimation filter, including aliasing rejection, passband, and stopband.

The fourth chapter describes the design of multichannel filter banks, which uses fractional derivatives and minor component analysis (MCA) techniques. The description of the design includes a flow chart, examples, and comparisons with other existing methods. It introduces MCA and various optimization algorithms used in the design, and gives an overview of fractional derivatives calculus.

Chapter 5 covers pansharpening, improving image resolution, and using filter banks. It includes quadrature mirror, orthogonal, bi-orthogonal, tree-structured, and other filter banks. The chapter presents an overview of component substitution and multiresolution analysis methods for pansharpening. Discussion of the experiments includes the algorithms and comparison results.

Chapter 6 describes a video signal processing application: frame rate conversion. Techniques such as motion estimation, motion vector processing, motion vector mapping, and motion compression are described with respect to frame rate conversion. The chapter also describes evaluation techniques such as test video sequences, visualization, and other mathematical evaluation methods.

Chapter 7 describes multirate system applications in spectrum sensing for cognitive radio. It begins by introducing spectrum sensing methods such as subband-based energy detection and cyclostationary feature detection, and then describes filter bank-based techniques for spectrum sensing in detail. Discrete Fourier transform (DFT) filter banks, cosign modulated filter banks, and polyphase filter banks for spectrum sensing are described. The chapter also introduces the filter bank architecture for spectrum sensing. The descriptions include various internal steps in which filter banks are used.

Chapter 8 applies multirate systems to nonuniform transmultiplexer systems. A general design and algorithm for optimization is presented. The proposed method uses windowing techniques. The chapter introduces Kaiser, Saramaki, Dolph–Chebyshev, and transitional windows with their mathematical equations. It ends with some example designs.

Students studying DSP, image processing, cognitive radios, and related topics can use the book for project ideas. Each chapter has many references. Readers are expected to have a good understanding of signal processing, differential calculus, trigonometry, filtering, and architectures. The book shows how complicated goals can be achieved in these applications using multirate filtering, and collects some of the latest filtering techniques. It does not present a survey of research papers in the area, but instead explains selected techniques from the research. Both academia and industry will benefit from this book.

Reviewer:  Maulik A. Dave Review #: CR146190 (1811-0558)
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