Books in Digital signal processing

21-30 of 81 results in All results

Acoustics: Sound Fields, Transducers and Vibration

• 2nd Edition
• May 21, 2019
• Leo Beranek + 1 more
• English
• Paperback 978-0-12-815227-0

  9 7 8 - 0 - 1 2 - 8 1 5 2 2 7 - 0
• eBook 978-0-12-815228-7

  9 7 8 - 0 - 1 2 - 8 1 5 2 2 8 - 7

Acoustics: Sound Fields, Transducers and Vibration, Second Edition guides readers through the basics of sound fields, the laws governing sound generation, radiation, and propagation, and general terminology. Specific sections cover microphones (electromagnetic, electrostatic, and ribbon), earphones, and horns, loudspeaker enclosures, baffles and transmission lines, miniature applications (e.g. MEMS microphones and micro speakers in tablets and smart phones), sound in enclosures of all sizes, such as school rooms, offices, auditoriums and living rooms, and fluid-structure interaction. Numerical examples and summary charts are given throughout the text to make the material easily applicable to practical design. New to this edition: A chapter on electrostatic loudspeakers A chapter on vibrating surfaces (membranes, plates, and shells) Readers will find this to be a valuable resource for experimenters, acoustical consultants, and to those who anticipate being engineering designers of audio equipment. It will serve as both a text for students in engineering departments and as a valuable reference for practicing engineers.

Intelligent Speech Signal Processing

• 1st Edition
• March 27, 2019
• Nilanjan Dey
• English
• Paperback 978-0-12-818130-0

  9 7 8 - 0 - 1 2 - 8 1 8 1 3 0 - 0
• eBook 978-0-12-818131-7

  9 7 8 - 0 - 1 2 - 8 1 8 1 3 1 - 7

Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing.

Signals and Systems Using MATLAB

• 3rd Edition
• October 29, 2018
• Luis F. Chaparro + 1 more
• English
• eBook 978-0-12-814205-9

  9 7 8 - 0 - 1 2 - 8 1 4 2 0 5 - 9

Signals and Systems Using MATLAB, Third Edition, features a pedagogically rich and accessible approach to what can commonly be a mathematically dry subject. Historical notes and common mistakes combined with applications in controls, communications and signal processing help students understand and appreciate the usefulness of the techniques described in the text. This new edition features more end-of-chapter problems, new content on two-dimensional signal processing, and discussions on the state-of-the-art in signal processing.

Source Separation and Machine Learning

• 1st Edition
• October 16, 2018
• Jen-Tzung Chien
• English
• Paperback 978-0-12-817796-9

  9 7 8 - 0 - 1 2 - 8 1 7 7 9 6 - 9
• eBook 978-0-12-804577-0

  9 7 8 - 0 - 1 2 - 8 0 4 5 7 7 - 0

Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning algorithms and model-based approaches using the latest information on mixture signals to build a BSS model that is seen as a statistical model for a whole system. Looking at different models, including independent component analysis (ICA), nonnegative matrix factorization (NMF), nonnegative tensor factorization (NTF), and deep neural network (DNN), the book addresses how they have evolved to deal with multichannel and single-channel source separation.

Digital Signal Processing

• 3rd Edition
• October 2, 2018
• Li Tan + 1 more
• English
• Paperback 978-0-12-815071-9

  9 7 8 - 0 - 1 2 - 8 1 5 0 7 1 - 9
• eBook 978-0-12-815072-6

  9 7 8 - 0 - 1 2 - 8 1 5 0 7 2 - 6

Digital Signal Processing: Fundamentals and Applications, Third Edition, not only introduces students to the fundamental principles of DSP, it also provides a working knowledge that they take with them into their engineering careers. Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts. As such, this title is also useful as a reference for non-engineering students and practicing engineers. The book goes beyond DSP theory, showing the implementation of algorithms in hardware and software. Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, µ-law, ADPCM, and multi-rate DSP, over-sampling ADC subband coding, and wavelet transform.

Academic Press Library in Signal Processing, Volume 7

• 1st Edition
• December 1, 2017
• Rama Chellappa + 1 more
• English
• Paperback 978-0-12-811887-0

  9 7 8 - 0 - 1 2 - 8 1 1 8 8 7 - 0
• eBook 978-0-12-811888-7

  9 7 8 - 0 - 1 2 - 8 1 1 8 8 8 - 7

Academic Press Library in Signal Processing, Volume 7: Array, Radar and Communications Engineering is aimed at university researchers, post graduate students and R&D engineers in the industry, providing a tutorial-based, comprehensive review of key topics and technologies of research in Array and Radar Processing, Communications Engineering and Machine Learning. Users will find the book to be an invaluable starting point to their research and initiatives. With this reference, readers will quickly grasp an unfamiliar area of research, understand the underlying principles of a topic, learn how a topic relates to other areas, and learn of research issues yet to be resolved.

Compressed Sensing in Li-Fi and Wi-Fi Networks

• 1st Edition
• November 16, 2017
• Malek Benslama + 1 more
• English
• Hardback 978-1-78548-200-7

  9 7 8 - 1 - 7 8 5 4 8 - 2 0 0 - 7
• eBook 978-0-08-101968-9

  9 7 8 - 0 - 0 8 - 1 0 1 9 6 8 - 9

Compressed Sensing in Li-Fi and Wi-Fi Networks features coverage of the first applications in optical telecommunications and wireless. After extensive development of basic theory, many techniques are presented, such as non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models. The book can be used as a comprehensive manual for teaching and research in courses covering advanced signal processing, efficient data processing algorithms, and telecommunications. After a thorough review of the basic theory of compressed sensing, many mathematical techniques are presented, including advanced signal modeling, Nyquist sub-sampling of analog signals, the non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models.

Digital Signal Processing 101

• 2nd Edition
• June 26, 2017
• Michael Parker
• English
• Paperback 978-0-12-811453-7

  9 7 8 - 0 - 1 2 - 8 1 1 4 5 3 - 7
• eBook 978-0-12-811454-4

  9 7 8 - 0 - 1 2 - 8 1 1 4 5 4 - 4

Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples with minimum mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems. This book has been updated to include the latest developments in Digital Signal Processing, and has eight new chapters on: Automotive Radar Signal Processing Space-Time Adaptive Processing Radar Field Orientated Motor Control Matrix Inversion algorithms GPUs for computing Machine Learning Entropy and Predictive Coding Video compression

Digital Signal Processing

• 1st Edition
• November 14, 2016
• Winser Alexander + 1 more
• English
• Paperback 978-0-12-804547-3

  9 7 8 - 0 - 1 2 - 8 0 4 5 4 7 - 3
• eBook 978-0-08-088526-1

  9 7 8 - 0 - 0 8 - 0 8 8 5 2 6 - 1

Digital signal processing (DSP) has been applied to a very wide range of applications. This includes voice processing, image processing, digital communications, the transfer of data over the internet, image and data compression, etc. Engineers who develop DSP applications today, and in the future, will need to address many implementation issues including mapping algorithms to computational structures, computational efficiency, power dissipation, the effects of finite precision arithmetic, throughput and hardware implementation. It is not practical to cover all of these in a single text. However, this text emphasizes the practical implementation of DSP algorithms as well as the fundamental theories and analytical procedures that form the basis for modern DSP applications. Digital Signal Processing: Principles, Algorithms and System Design provides an introduction to the principals of digital signal processing along with a balanced analytical and practical treatment of algorithms and applications for digital signal processing. It is intended to serve as a suitable text for a one semester junior or senior level undergraduate course. It is also intended for use in a following one semester first-year graduate level course in digital signal processing. It may also be used as a reference by professionals involved in the design of embedded computer systems, application specific integrated circuits or special purpose computer systems for digital signal processing, multimedia, communications, or image processing.

Radio-Frequency Digital-to-Analog Converters

• 1st Edition
• October 26, 2016
• Morteza S Alavi + 2 more
• English
• Hardback 978-0-12-802263-4

  9 7 8 - 0 - 1 2 - 8 0 2 2 6 3 - 4
• eBook 978-0-12-802503-1

  9 7 8 - 0 - 1 2 - 8 0 2 5 0 3 - 1

With the proliferation of wireless networks, there is a need for more compact, low-cost, power efficient transmitters that are capable of supporting the various communication standards, including Bluetooth, WLAN, GSM/EDGE, WCDMA and 4G of 3GPP cellular. This book describes a novel idea of RF digital-to-analog converters (RFDAC) and demonstrates how they can realize all-digital, fully-integrated RF transmitters that support all the current multi-mode and multi-band communication standards. With this book the reader will: Understand the challenges of realizing a universal CMOS RF transmitter Recognize the design issues and the advantages and disadvantages related to analog and digital transmitter architectures Master designing an RF transmitter from system level modeling techniques down to circuitdesigns and their related layout know-hows Grasp digital polar and I/Q calibration techniques as well as the digital predistortion approaches Learn how to generate appropriate digital I/Q baseband signals in order to apply them to the test chip and measure the RF-DAC performance.