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Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing Daniel B. Rowe 1. izdevums
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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2019. gada 2. decembris |
| ISBN13 | 9780367454661 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 350 |
| Izmēri | 150 × 220 × 10 mm · 650 g |
| Valoda | Angļu |
