Digital Signal Processing Systems Implementation Techniques
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Digital Signal Processing Systems: Implementation Techniques
This volume on implementation techniques in digital signal processing systems clearly reveals the significance and power of the techniques that are available, and with further development, the essential role they will play as applied to a wide variety of areas. The authors are all to highly commended for their splendid contributors to this volume, which will provide a significant and unique international reference source for students, research workers, practicing engineers, and others for years to come.
FPGA-based Implementation of Signal Processing Systems
Field programmable gate arrays (FPGAs) are an increasingly popular technology for implementing digital signal processing (DSP) systems. By allowing designers to create circuit architectures developed for the specific applications, high levels of performance can be achieved for many DSP applications providing considerable improvements over conventional microprocessor and dedicated DSP processor solutions. The book addresses the key issue in this process specifically, the methods and tools needed for the design, optimization and implementation of DSP systems in programmable FPGA hardware. It presents a review of the leading-edge techniques in this field, analyzing advanced DSP-based design flows for both signal flow graph- (SFG-) based and dataflow-based implementation, system on chip (SoC) aspects, and future trends and challenges for FPGAs. The automation of the techniques for component architectural synthesis, computational models, and the reduction of energy consumption to help improve FPGA performance, are given in detail. Written from a system level design perspective and with a DSP focus, the authors present many practical application examples of complex DSP implementation, involving: high-performance computing e.g. matrix operations such as matrix multiplication; high-speed filtering including finite impulse response (FIR) filters and wave digital filters (WDFs); adaptive filtering e.g. recursive least squares (RLS) filtering; transforms such as the fast Fourier transform (FFT). FPGA-based Implementation of Signal Processing Systems is an important reference for practising engineers and researchers working on the design and development of DSP systems for radio, telecommunication, information, audio-visual and security applications. Senior level electrical and computer engineering graduates taking courses in signal processing or digital signal processing shall also find this volume of interest.
DIGITAL SIGNAL PROCESSING TECHNIQUES: REAL-TIME IMPLEMENTATION AND OPTIMIZATION FOR MODERN APPLICATIONS
Author: MAHAVEER SIDDAGONI BIKSHAPATHI, AKSHAY GAIKWAD, SANYASI SARAT SATYA SUKUMAR BISETTY, DR. SHAKEB KHAN
language: en
Publisher: DeepMisti Publication
Release Date: 2024-11-10
In the ever-evolving landscape of the modern world, the synergy between technology and management has become a cornerstone of innovation and progress. This book, Digital Signal Processing Techniques: Real-Time Implementation and Optimization for Modern Applications, is conceived to bridge the gap between emerging technological advancements in digital signal processing (DSP) and their strategic application in building efficient, real-time systems that are both scalable and optimized for modern demands. Our objective is to equip readers with the tools and insights necessary to excel in this dynamic intersection of fields. This book is structured to provide a comprehensive exploration of the methodologies and strategies that define the innovation of DSP technologies, particularly focusing on techniques and applications relevant to real-time implementation and optimization. From foundational theories to advanced applications, we delve into the critical aspects that drive successful innovation in signal processing systems. We have made a concerted effort to present complex concepts in a clear and accessible manner, making this work suitable for a diverse audience, including students, developers, and industry professionals. In authoring this book, we have drawn upon the latest research and best practices to ensure that readers not only gain a robust theoretical understanding but also acquire practical skills that can be applied in real-world DSP scenarios. The chapters are designed to strike a balance between depth and breadth, covering topics ranging from DSP fundamentals and optimization techniques to the strategic management of scalable systems. Additionally, we emphasize the importance of real-time performance, system efficiency, and robustness, dedicating sections to the art of developing DSP solutions that deliver accuracy, scalability, and resilience. The inspiration for this book arises from a recognition of the crucial role that digital signal processing plays in shaping the future of digital interactions and communication technologies. We are profoundly grateful to Chancellor Shri Shiv Kumar Gupta of Maharaja Agrasen Himalayan Garhwal University for his unwavering support and vision. His dedication to fostering academic excellence and promoting a culture of innovation has been instrumental in bringing this project to fruition. We hope this book will serve as a valuable resource and inspiration for those eager to deepen their understanding of how DSP strategies can be harnessed to drive innovation. We believe that the knowledge and insights contained within these pages will empower readers to lead the way in creating high-performance DSP solutions that will define the future of real-time applications in a wide range of industries. Thank you for joining us on this journey. Authors