Signal Processing for Intelligent Sensor Systems with MATLAB®
Autor David C. Swansonen Limba Engleză Paperback – 12 oct 2017
Taking an informal, application-based approach and using a tone that is more engineer-to-engineer than professor-to-student, this revamped second edition enhances many of the features that made the original so popular. This includes retention of key algorithms and development methodologies and applications, which are creatively grouped in a way that differs from most comparable texts, to optimize their use.
New for the Second Edition:
- Inclusion of more solved problems
- Web access to a large collection of MATLAB® scripts used to support data graphs presented throughout the book
- Additional coverage of more audio engineering, transducers, and sensor networking technology
- A new chapter on Digital Audio processing reflects a growing interest in digital surround sound (5.1 audio) techniques for entertainment, home theaters, and virtual reality systems
- New sections on sensor networking, use of meta-data architectures using XML, and agent-based automated data mining and control
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 434.64 lei 6-8 săpt. | |
CRC Press – 12 oct 2017 | 434.64 lei 6-8 săpt. | |
Hardback (1) | 1123.93 lei 6-8 săpt. | |
CRC Press – 26 iul 2011 | 1123.93 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781138075450
ISBN-10: 1138075450
Pagini: 683
Ilustrații: 380
Dimensiuni: 178 x 254 mm
Greutate: 0.53 kg
Ediția:2
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1138075450
Pagini: 683
Ilustrații: 380
Dimensiuni: 178 x 254 mm
Greutate: 0.53 kg
Ediția:2
Editura: CRC Press
Colecția CRC Press
Public țintă
UndergraduateCuprins
Fundamentals of Digital Signal Processing:Sampled Data Systems. Z-Transform. Digital Filtering. Digital Audio Processing. Linear Filter Applications. Frequency Domain Processing: Fourier Transform. Spectral Density. Wavenumber Transforms. Adaptive System Identification and Filtering: Linear Least-Squared Error Modeling. Recursive Least-Squares Techniques. Recursive Adaptive Filtering. Wavenumber Sensor Systems: Signal Detection Techniques. Wavenumber and Bearing Estimation. Adaptive Beamforming and Localization. Signal Processing Applications: Noise Reduction Techniques. Sensors and Transducers. Intelligent Sensor Systems.
Descriere
Building on the unique features that made the first edition a bestseller, this second edition includes additional solved problems and web access to the large collection of MATLAB® scripts that are highlighted throughout the text. The book offers expanded coverage of audio engineering, transducers, and sensor networking technology. It also includes new chapters on digital audio processing, as well as acoustics and vibrations transducers. The text addresses the use of meta-data architectures using XML and agent-based automated data mining and control. The numerous algorithms presented can be applied locally or network-based to solve complex detection problems.