This paper addresses certain functional learning tasks in signal processing using familiar algorithms and analytical tools of least squares for autoregressive moving average exogenous input (ARMAX) models. the models can be viewed as conventional ARMAX models but with parameters dependent on variabl
Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing
β Scribed by Beth Jelfs; Soroush Javidi; Phebe Vayanos; Danilo Mandic
- Publisher
- Springer US
- Year
- 2009
- Tongue
- English
- Weight
- 862 KB
- Volume
- 61
- Category
- Article
- ISSN
- 1939-8018
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