Digital signal processing (DSP) Books
Cambridge University Press InformationTheoretic Methods in Data Science
Book SynopsisLearn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being used in data acquisition, data representation, data analysis, and statistics and machine learning. Coverage is broad, with chapters on signal acquisition, data compression, compressive sensing, data communication, representation learning, emerging topics in statistics, and much more. Each chapter includes a topic overview, definition of the key problems, emerging and open problems, and an extensive reference list, allowing readers to develop in-depth knowledge and understanding. Providing a thorough survey of the current research area and cutting-edge trends, this is essential reading for graduate students and researchers working in information theory, signal processing, machine leTable of Contents1. Introduction Miguel Rodrigues, Stark Draper, Waheed Bajwa and Yonina Eldar; 2. An information theoretic approach to analog-to-digital compression Alon Knipis, Yonina Eldar and Andrea Goldsmith; 3. Compressed sensing via compression codes Shirin Jalali and Vincent Poor; 4. Information-theoretic bounds on sketching Mert Pillanci; 5. Sample complexity bounds for dictionary learning from vector- and tensor-valued data Zahra Shakeri, Anand Sarwate and Waheed Bajwa; 6. Uncertainty relations and sparse signal recovery Erwin Riegler and Helmut Bölcskei; 7. Understanding phase transitions via mutual Information and MMSE Galen Reeves and Henry Pfister; 8. Computing choice: learning distributions over permutations Devavrat Shah; 9. Universal clustering Ravi Raman and Lav Varshney; 10. Information-theoretic stability and generalization Maxim Raginsky, Alexander Rakhlin and Aolin Xu; 11. Information bottleneck and representation learning Pablo Piantanida and Leonardo Rey Vega; 12. Fundamental limits in model selection for modern data analysis Jie Ding, Yuhong Yang and Vahid Tarokh; 13. Statistical problems with planted structures: information-theoretical and computational limits Yihong Wu and Jiaming Xu; 14. Distributed statistical inference with compressed data Wenwen Zhao and Lifeng Lai; 15. Network functional compression Soheil Feizi and Muriel Médard; 16. An introductory guide to Fano's inequality with applications in statistical estimation Jonathan Scarlett and Volkan Cevher.
£78.84
Cambridge University Press Compressed Sensing in Radar Signal Processing
Book SynopsisLearn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar.Table of ContentsPreface Antonio De Maio, Yonina C. Eldar and Alexander M. Haimovich; 1. Sub-Nyquist radar: principles and prototypes Kumar Vijay Mishra and Yonina C. Eldar; 2. Clutter rejection and adaptive filtering in compressed sensing radar Peter B. Tuuk; 3. RFI mitigation based on compressive sensing methods for UWB radar imaging Tianyi Zhang, Jiaying Ren, Jian Li, David J. Greene, Jeremy A. Johnston and Lam H. Nguyen; 4. Compressed CFAR techniques Laura Anitori and Arian Maleki; 5. Sparsity-based methods for CFAR target detection in STAP random arrays Haley H. Kim and Alexander M. Haimovich; 6. Fast and robust sparsity-based STAP method for nonhomogeneous clutter Xiaopeng Yang, Yuze Sun, Xuchen Wu, Teng Long and Tapan K. Sarkar; 7. Super-resolution radar imaging via convex optimization Reinhard Heckel; 8. Adaptive beamforming via sparsity-based reconstruction of covariance matrix Yujie Gu, Nathan A. Goodman and Yimin D. Zhang; 9. Spectrum sensing for cognitive radar via model sparsity exploitation Augusto Aubry, Vincenzo Carotenuto, Antonio De Maio and Mark Govoni; 10. Cooperative spectrum sharing between sparse-sensing-based radar and communication systems Bo Li and Athina P. Petropulu; 11. Compressed sensing methods for radar imaging in the presence of phase errors and moving objects Ahmed Shaharyar Khwaja, Naime Ozben Onhon and Mujdat Cetin.
£105.45
Cambridge University Press SParameters for Signal Integrity
Book SynopsisMaster the usage of s-parameters in signal integrity applications and gain full understanding of your simulation and measurement environment with this rigorous and practical guide. Solve specific signal integrity problems including calculation of the s-parameters of a network, linear simulation of circuits, de-embedding, and virtual probing, all with expert guidance. Learn about the interconnectedness of s-parameters, frequency responses, filters, and waveforms. This invaluable resource for signal integrity engineers is supplemented with the open-source software SignalIntegrity, a Python package for scripting solutions to signal integrity problems.Trade Review'The most modern and up-to-date book on linear network theory with applications. Deep and comprehensive theory is coupled with detailed applications, making this book a must-have not only for signal integrity professionals, but for any microwave engineer.' Andrea Ferrero, Keysight'This book provides unique and consistent description of S-parameters use for analysis of linear networks, signal measurement and processing in one volume, supplemented and illustrated with free open source signal integrity software. The book can be used for learning the subject of emerging microwave signal integrity or as a comprehensive and indispensable reference for every microwave and signal integrity engineer and scientist.' Yuriy Shlepnev, Simberian Inc.'This is an outstanding and refreshing book for the novice and advanced engineer alike. Written by a well-known expert in the field, it provides a rather unique access to the difficult topic of signal integrity, through a systematic learning by doing approach. A software, which is freely accessible through an open-source Python library, 'Signal Integrity', allows the user to easily program the numerous examples that accompany the theory. The material ranges from simple to complex problems, using the S-parameter concept for high-speed signal integrity as a unifying theme. The book is appropriate for self-study and as a reference for teaching, and empowers the reader with a very unusual and stimulating blend of competences.' Peter Wittwer, University of Geneva'S-parameters for Signal Integrity is a more circuit-heavy look at the S-parameter data/simulation/design environment than one usually sees and that approach can be very helpful for a number of problems.' Jon Martens, Anritsu'This is a long overdue and amazing book that will equally appeal to people looking for a deep theoretical foundation in the mathematics behind some of the commonly-used signal integrity computations we use today and also to those practicing engineers who are looking for real-life answers about S-parameter simulations, measurements and applications. This is also a 'must-read' book for anyone who wants to learn and use the open-source code that does pretty much everything we need to simulate in signal integrity.' Istvan Novak, IEEE Life Fellow, Samtec'S-parameters are the industry-standard way of describing the electrical properties of interconnects; in measurement, in simulation and in specifications. While there are scattered resources on the formalism of S-parameters, they all focus on RF and microwave applications. Here, in one resource, is the definitive standard for using S-parameters in signal integrity applications where a time domain transform is essential. This new book, written by a world-class expert, establishes the foundations for using S-parameters to solve real world signal integrity related problems.' Eric Bogatin, Teledyne LeCroy Signal Integrity Academy and University of Colorado, Boulder'… combines frequency-domain concepts from S-parameter theory with the time-domain concepts of digital oscilloscope technology to optimize transmission of digital signals through circuitry. Pupalaikis, an engineer for Teledyne LeCroy and IEEE Fellow, has produced what is likely to be the definitive work on scattering parameters as applied to modern digital systems. Supplementing its descriptive character, the book also provides code for use with an open-source Python package to perform many of the extremely complex operations discussed in the text … The ideal reader is a Python programmer and linear algebra expert who is also familiar with graduate-level signals and systems topics. That said, for specialists in signal integrity, Pupalaikis appears to have asked and answered most of the important questions about modeling and measurements with respect to passive linear circuits for digital transmission, including coverage of equalization and other recent developments.' K. D. Stephan, ChoiceTable of ContentsIntroduction; Part I. Scattering Parameters: 1. Network parameter models; 2. Waves; 3. Scattering parameters; 4. S-parameter system models; 5. Reference impedance; 6. Sources; 7. Transmission lines; Part II. Applications: 8. System descriptions; 9. Simulation; 10. De-embedding; 11. Virtual probing; Part III. Signal Processing and Measurement: 12. Frequency responses, impulse responses and convolution; 13. Waveforms and filters; 14. The impedance profile; 15. Measurement; 16. Model extraction; Part IV. SignalIntegrity: 17. SignalIntegrity.Lib package; 18. SignalIntegrity app; Afterword; Appendices: A. Terminology and conventions; B. Telegrapher's equations; C. Matrix algebra; D. Symbolic device solutions; References; Index.
£105.45
Nova Science Publishers Inc Signal Processing: New Research
Book SynopsisThe field of signal processing has seen exponential growth during the past decade, as remarkable innovations both in research and application have been made. The applications of signal processing are numerous and include audio signal processing, biomedical engineering, multimedia, video signal processing, pattern analysis, pattern recognition, artificial intelligence, decision making, control systems, and many more. In the past few years, a new wave of advanced signal-processing techniques has delivered exciting results, increasing systems capabilities of efficiently exchanging data and extracting useful knowledge from them. The theory and applications of signal processing are concerned with the identification, modelling and utilisation of patterns and structures in a signal process. This book is aimed to provide a self-contained introduction to the subject as well as offering a set of invited contributions, which we see as lying at the cutting edge of both empirical and computational aspects of signal processing research. This book was born from discussions with researchers in the signal processing community and aims to provide a snapshot of some current trends and future challenges in signal processing research. This book presents state-of-the-art and recent research results on the application of advanced signal processing techniques for improving the value of signal, image and video data. The book is likely to be of interest to post graduate students, researchers, engineers, and professors - in the field of signal processing. This book is organized into 13 chapters, covering diverse applications of signal processing research.
£146.24
Springer Verlag, Singapore Conceptual Digital Signal Processing with MATLAB
Book SynopsisThis textbook provides an introduction to the study of digital signal processing, employing a top-to-bottom structure to motivate the reader, a graphical approach to the solution of the signal processing mathematics, and extensive use of MATLAB.In contrast to the conventional teaching approach, the book offers a top-down approach which first introduces students to digital filter design, provoking questions about the mathematical tools required. The following chapters provide answers to these questions, introducing signals in the discrete domain, Fourier analysis, filters in the time domain and the Z-transform. The author introduces the mathematics in a conceptual manner with figures to illustrate the physical meaning of the equations involved. Chapter six builds on these concepts and discusses advanced filter design, and chapter seven discusses matters of practical implementation. This book introduces the corresponding MATLAB functions and programs in every chapter with examples, and the final chapter introduces the actual real-time filter from MATLAB.Aimed primarily at undergraduate students in electrical and electronic engineering, this book enables the reader to implement a digital filter using MATLAB.Deliver the conceptual knowledge of digital signal processing with extensive use of the illustrations from practical viewpoint. Also, the digital signal processing is initiated from the digital not from the continuous domain.Trade Review“The lecture of this book can help the readers by understanding the fundamentals of DSP to employ them to real-world applications.” (Ioan Tomescu, zbMATH 1459.94001, 2021)Table of ContentsCh. 1: Preliminary digital filter designCh. 2: Frequency and signals in discrete domainCh. 3: Fourier analysisCh. 4: Filters in time domainCh. 5: Z-transformCh. 6. Filter designCh. 7: Implementation mattersCh. 8: Filters with MatlabAppendix A: Matlab fundamentals
£33.74
Springer Optical Fibre Lasers and Amplifiers
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£170.99
Springer Nonuniform Sampling Theory and Practice Information Technology Transmission Processing and Storage
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£237.49
Springer Digital Terrestrial Broadcasting Networks
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£98.99
Springer Handbook of Recording Engineering
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£170.99
Springer Complex Orthogonal SpaceTime Processing in Wireless Communications
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£123.49
Springer Signal Processing Methods for Music Transcription
Book SynopsisFoundations.- to Music Transcription.- An Introduction to Statistical Signal Processing and Spectrum Estimation.- Sparse Adaptive Representations for Musical Signals.- Rhythm and Timbre Analysis.- Beat Tracking and Musical Metre Analysis.- Unpitched Percussion Transcription.- Automatic Classification of Pitched Musical Instrument Sounds.- Multiple Fundamental Frequency Analysis.- Multiple Fundamental Frequency Estimation Based on Generative Models.- Auditory Model-Based Methods for Multiple Fundamental Frequency Estimation.- Unsupervised Learning Methods for Source Separation in Monaural Music Signals.- Entire Systems, Acoustic and Musicological Modelling.- Auditory Scene Analysis in Music Signals.- Music Scene Description.- Singing Transcription.Table of ContentsFoundations.- to Music Transcription.- An Introduction to Statistical Signal Processing and Spectrum Estimation.- Sparse Adaptive Representations for Musical Signals.- Rhythm and Timbre Analysis.- Beat Tracking and Musical Metre Analysis.- Unpitched Percussion Transcription.- Automatic Classification of Pitched Musical Instrument Sounds.- Multiple Fundamental Frequency Analysis.- Multiple Fundamental Frequency Estimation Based on Generative Models.- Auditory Model-Based Methods for Multiple Fundamental Frequency Estimation.- Unsupervised Learning Methods for Source Separation in Monaural Music Signals.- Entire Systems, Acoustic and Musicological Modelling.- Auditory Scene Analysis in Music Signals.- Music Scene Description.- Singing Transcription.
£123.49
Springer Resource Management in Satellite Networks Optimization and CrossLayer Design
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£123.49
Springer Bandwidth Extension of Speech Signals
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£85.49
Springer Digital Noise Monitoring of Defect Origin
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£85.49
Springer Wireless Technology
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£123.49
Springer Analysis of Computer and Communication Networks
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£94.99
Springer Applied Signal Processing A Matlabbased Proof of Concept Signals and Communication Technology
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£59.99
Springer Resource Allocation in Multiuser Multicarrier Wireless Systems
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£85.49
Springer Spin Waves
Book Synopsisto Magnetism.- Quantum Theory of Spin Waves.- Magnetic Susceptibilities.- Electromagnetic Waves in Anisotropic-Dispersive Media.- Magnetostatic Modes.- Propagation Characteristics and Excitation of Dipolar Spin Waves.- Variational Formulation for Magnetostatic Modes.- Optical-Spin Wave Interactions.- Nonlinear Interactions.- Novel Applications.Trade Reviewws, Issue 2010 j)Table of Contentsto Magnetism.- Quantum Theory of Spin Waves.- Magnetic Susceptibilities.- Electromagnetic Waves in Anisotropic-Dispersive Media.- Magnetostatic Modes.- Propagation Characteristics and Excitation of Dipolar Spin Waves.- Variational Formulation for Magnetostatic Modes.- Optical-Spin Wave Interactions.- Nonlinear Interactions.- Novel Applications.
£142.49
Springer Progress In Speech Synthesis
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£170.99
Springer Mathematics of Multidimensional Fourier Transform Algorithms
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£74.93
Springer Digital Video An Introduction to MPEG2 Digital Multimedia Standards S
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£123.49
Springer HighFrequency Circuit Design and Measurements
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£44.99
Springer SolidState Microwave Generation 4 Microwave and RF Techniques and Applications
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£237.49
Springer Signals and Systems Tutorial Guides in Electronic Engineering Series
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£85.49
Springer Radiowave Propagation Over Ground
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£170.99
Springer Telecommunications Principles 5 Tutorial Guides in Electronic Engineering Series
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£85.49
Springer Introduction to Discretetime Signals and Systems
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£44.99
Springer Coherent Lightwave Communications Technology Telecommunications Technology and Applications Series Telecommunications Technology Applications Series
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£44.99
Springer Object Oriented Techniques in Telecommunications 6 BT Telecommunications Series
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£170.99
Springer Solitons Nonlinear pulses and beams 5 Optical Quantum Electronics S
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£170.99
Springer The Colour Image Processing Handbook Optoelectronics Imaging and Sensing
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£123.49
Springer Distributed Applications and Interoperable Systems
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£123.49
Springer Digital Transmission Systems
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£170.99
Springer The Navstar Global Positioning System
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£85.49
Springer JPEG Still Image Data Compression Standard Digital Multimedia Standards S
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£237.49
Springer Signals And Filters
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£123.49
Springer Satellite Systems Principles and technologies
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£85.49
Springer Antenna Handbook Antenna Fundamentals and Mathematical Techniques
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£123.49
Springer Antenna Handbook Antenna Theory Antenna Theory v 2
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Springer Antenna Handbook Volume III Applications Antenna Applications
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£170.99
Springer Antenna Handbook Special Topics
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£123.49
Springer Digital Signal Processing in Communications Systems
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£123.49
Springer Understanding the Navstar GPS GIS and IVHS 0000 Electrical Engineering
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£85.49
Springer Signal and Image Processing Sourcebook
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£123.49
John Wiley & Sons Inc Synthetic Aperture Radar Signal Processing with
Book SynopsisAn up-to-date analysis of the SAR wavefront reconstruction signal theory and its digital implementation. With the advent of fast computing and digital information processing techniques, synthetic aperture radar (SAR) technology has become both more powerful and more accurate.Table of ContentsRange Imaging. Cross-Range Imaging. SAR Radiation Pattern. Generic Synthetic Aperture Radar. Spotlight Synthetic Aperture Radar. Stripmap Synthetic Aperture Radar. Circular Synthetic Aperture Radar. Monopulse Synthetic Aperture Radar. Bibliography. Index.
£161.06
John Wiley & Sons Inc Synthetic Aperture Radar
Book SynopsisThe use of synthetic aperture radar (SAR) represents a new era in remote sensing technology. A complete handbook for anyone who must design an SAR system capable of reliably producing high quality image data products, free from image artifacts and calibrated in terms of the target backscatter coefficient. Combines fundamentals underlying the SAR imaging process and the practical system engineering required to produce quality images from a real SAR system. Beginning with a broad overview of SAR technology, it goes on to examine SAR system capabilities and components and detail the techniques required for design and development of the SAR ground data system with emphasis on the correlation processing. Intended for SAR system engineers and researchers, it is generously illustrated for maximum clarity.Table of ContentsThe Radar Equation. The Matched Filter and Pulse Compression. Imaging and the Rectangular Algorithm. Ancillary Processes in Image Formation. SAR Flight System. Radiometric Calibration of SAR Data. Geometric Calibration of SAR Data. The SAR Ground System. Other Imaging Algorithms. Appendices. List of Acronyms. Index.
£211.46
Springer Underwater Acoustic Data Processing Study Institute Proceedings 161 Nato Science Series E
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£237.49
