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Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing Daniel B. Rowe 1st edition
Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing
Daniel B. Rowe
Real-world source separation problems, encountered in disciplines from engineering and computer science to economics and image processing, are more difficult than they appear. Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing offers a thorough, self-contained treatment of the source separation problem. Part I provid
352 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | December 2, 2019 |
| ISBN13 | 9780367454661 |
| Publishers | Taylor & Francis Ltd |
| Pages | 350 |
| Dimensions | 150 × 220 × 10 mm · 650 g |
| Language | English |