Wiley Time-Frequency Domain Signal Segmentation and Classification

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.