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Linear and Multilinear Algebra in Signal Processing

Linear and Multilinear Algebra in Signal Processing

ISBN: 978-1-786-30154-3

Aug 2019, Wiley-ISTE

200 pages

Select type: Hardcover

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The first volume will first present the basic elements of linear algebra and multilinear algebra. The notions of matrix spaces and tensor spaces will be introduced. Different examples of tensors encountered in signal processing and data analysis will be provided. Special classes of matrices and tensors will be described. The main basic operations will then be detailed, both for the matrices and for the tensors, specifying the properties satisfied by these operations.
Volume 1
1. Algebraic structures
2. Tensors : Terminology and examples in signal processing and multi-input data analysis
3. Matrix special classification
4. Tensors special classification
5. Matrix operations
6. Tensor operations