Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
|
Buy Now
Vertex-Frequency Analysis of Graph Signals (Hardcover, 1st ed. 2019)
Loot Price: R4,401
Discovery Miles 44 010
|
|
Vertex-Frequency Analysis of Graph Signals (Hardcover, 1st ed. 2019)
Series: Signals and Communication Technology
Expected to ship within 12 - 17 working days
|
This book introduces new methods to analyze vertex-varying graph
signals. In many real-world scenarios, the data sensing domain is
not a regular grid, but a more complex network that consists of
sensing points (vertices) and edges (relating the sensing points).
Furthermore, sensing geometry or signal properties define the
relation among sensed signal points. Even for the data sensed in
the well-defined time or space domain, the introduction of new
relationships among the sensing points may produce new insights in
the analysis and result in more advanced data processing
techniques. The data domain, in these cases and discussed in this
book, is defined by a graph. Graphs exploit the fundamental
relations among the data points. Processing of signals whose
sensing domains are defined by graphs resulted in graph data
processing as an emerging field in signal processing. Although
signal processing techniques for the analysis of time-varying
signals are well established, the corresponding graph signal
processing equivalent approaches are still in their infancy. This
book presents novel approaches to analyze vertex-varying graph
signals. The vertex-frequency analysis methods use the Laplacian or
adjacency matrix to establish connections between vertex and
spectral (frequency) domain in order to analyze local signal
behavior where edge connections are used for graph signal
localization. The book applies combined concepts from
time-frequency and wavelet analyses of classical signal processing
to the analysis of graph signals. Covering analytical tools for
vertex-varying applications, this book is of interest to
researchers and practitioners in engineering, science,
neuroscience, genome processing, just to name a few. It is also a
valuable resource for postgraduate students and researchers looking
to expand their knowledge of the vertex-frequency analysis theory
and its applications. The book consists of 15 chapters contributed
by 41 leading researches in the field.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.