£75.23

Wiley Time-Frequency Domain Signal Segmentation and Classification

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£100.93 £72.66 £78.83 £85.00 £91.16 £97.33 £103.50 09 April 2026 21 April 2026 03 May 2026 15 May 2026 27 May 2026

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Description

Explore advanced signal processing techniques with this specialized text from Wiley. This book provides a deep look into algorithms designed for the time-frequency domain, specifically targeting the extraction of information from non-stationary signals. By focusing on the Stockwell Transform, the text offers methods to identify signatures and perform feature extraction for complex data types. Readers will examine practical applications involving bio-signals, such as heart sounds, and electric power signals. The content covers the use of the Adaline Neural Network for classification methods, providing comparisons with other common classifiers to help establish technical context. Beyond theory, the book includes concrete implementation details for FPGA, making it a valuable resource for those working on the intersection of signal processing and hardware implementation.

Key Features

Covers advanced signal processing algorithms specifically designed for the time-frequency domain to handle non-stationary signals.

Focuses on the Stockwell Transform as a primary method for feature extraction and signature identification.

Provides practical application examples using bio-signals like heart sounds and power electric signals.

Includes detailed classification methods using the Adaline Neural Network compared against other common classifiers.

Offers technical guidance on concrete implementation on FPGA for real-world signal processing tasks.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
21 March 2014
Listed Since
15 March 2013

Barcode

No barcode data available

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