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Lindquist C Adaptive And Digital Signal Processing, Filtering App 1989
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Samuel Johnson said wThe two most engaging powers of an author are to make new things familiar, and familiar things new. Making new things familiar and familiar things new is our goal in this book on adaptive and digital signal processing. This is a challenging goal because current research is rapidly expanding an already massive amount of existing theory. Digital signal processing is being used by most disciplines throughout universities. Digital signal processing is also being extensively used by all types of engineers in all areas of engineering in industry. The precursor of this wide popularity was the introduction of the microcomputer chip in the late 1970's. The microcomputer forms the basic building block of most digital signal processing systems. The small size and low cost of the microcomputer overcame the general utilization barriers imposed by the large and costly mainframe computers of previous decades. Adaptive and Digital Signal Processing with Digital Filtering Applications is a textbook for undergraduate and graduate level courses in both adaptive and digital signal processing, and digital filtering . It is also an excellent reference and self-study text for engineers. This book is unique compared to other digital signal processing texts for a variety of reasons. It uses an unusual chapter sequence to maximize the cohesive development of material. This development carefully balances theoretical complexity and practical usefulness. Lengthy and unnecessary algebraic derivations are avoided to provide room for practical simulations and discussion. An extremely comprehensive collection of topics, design methods, and algorithms are discussed and integrated together. Many design examples are presented to illustrate concepts and to demonstrate system implementations. Another unusual feature of this book is that it includes adaptive filters which are routinely developed using our frequency domain filter design approach. We believe that the reader will find this digital signal processing book to be one of his most useful and comprehensive texts. This book is composed of twelve chapters. Chapters 1--6 are concerned with analysis and Chapters 7-12 are concerned with synthesis or design. Chapter 1 presents the basic concepts in digital signal and system analysis. Chapter 2 introduces frequency domain analysis using generalized transforms and windowing functions . Chapter 3 discusses time domain analysis using generalized inverse transforms and interpolators. Chapters 2 and 3 complement one another and should be studied together. Chapter 4 classifies and formulates classical, optimum, and adaptive filters . Homomorphic and amplitude domain filters are also discussed. Chapter 5 presents digital transformations which convert the analog lowpass filters of Chapter 4 into digital lowpass filters. Chapter 6 derives frequency transformations which convert the analog lowpass filters of Chapter 4 into digital highpass, bandpass, bandstop, and allpass filters . Chapter 7 classifies digital filters into fast transform, nonrecursive, and recursive types and discusses their advantages and disadvantages. Chapter 8 investigates fast transform filter design using scalar and vector filters and generalized transforms. Chapter 9 demonstrates the usefulness of these concepts by designing a variety of FFT filters which meet specialized applications. Chapter 10 presents nonrecursive filter design methods and Chapter 11 presents recursive filter design methods . Chapter 12 discusses hardware implementation of digital filters using a variety of realization forms. Complete problem sets are presented at the end of each chapter. The student should solve these problems to test , enhance, and develop his conceptual understanding. Answers to selected problems are found at the end of the book. Tiese answers will help him verify that he has properly grasped concepts. A complete and detailed index is included to enable him to easily and quickly locate information. Different chapter sequences can be followed by the instructor in one- and two-semester courses. When analysis and design are to be taught in separate courses, use: Analysis: Chapters 1---0; Design: Chapters 7-12. When analysis and design are: to be integrated and taught in the same course, use: FIR and IIR Filter Design: Chapters 1-3 (selected sections), 4.2, 5, 7, 10-12; Fast Transform Filter Design: Chapters 1-4 (remaining sections), 6, 7, 8, 9. Other chapter combinations are possible but we have found these sequences to be very suitable for teaching and also for self-study programs. Graduate courses cover the material in detail while undergraduate courses cover selected topics in abbreviated form
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Lindquist C. Adaptive and Digital Signal Processing,...Filtering App 1989.pdf
