£142.48

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£142 today · all-time low £142 (Aug 2026) · usually the usual

Springer - Numerical Bayesian Methods Applied to Signal Processing

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Description

Explore the fundamental theory of digital signal processing with this specialized text from Springer. This book focuses on the processing of sampled and digitized signals, providing a technical foundation for operations carried out on finite sets of measurements. It covers extensive applications across multiple scientific and engineering disciplines. Readers can find information relevant to speech and data communications, biomedical engineering, acoustics, sonar, and radar. The text also addresses practical uses in seismology, oil exploration, instrumentation, and audio signal processing. This resource serves as a comprehensive guide for those studying the mathematical and computational methods used to handle modern digital data.

Key Features

This Springer publication focuses on the processing of signals that have been sampled and digitized.

The text covers fundamental digital signal processing theory for applications in speech and data communications.

It provides technical insights for engineering fields including biomedical engineering, acoustics, sonar, and radar.

The content includes applications for seismology, oil exploration, and instrumentation.

This book addresses operations carried out on finite sets of measurements for audio signal processing.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
23 October 2012
Listed Since
20 September 2013

Barcode

No barcode data available

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