Adaptive segmenting of non-stationary signals
Many data compression techniques rely on the low entropy and/or the large degree of autocorrelation exhibited by stationary signals. In non-stationary signals, however, these characteristics are not constant, resulting in reduced data compression efficiency. An adaptive scheme is developed that divi...
Main Author: | Edmonds, Christopher Albin |
---|---|
Format: | Others |
Published: |
FIU Digital Commons
1998
|
Subjects: | |
Online Access: | http://digitalcommons.fiu.edu/etd/3116 http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=4408&context=etd |
Similar Items
-
Online learning of non-stationary sequences
by: Monteleoni, Claire E. (Claire Elizabeth), 1975-
Published: (2014) -
Variational inference for non-stationary distributions
by: Mamikonyan, Arsen
Published: (2018) -
Learning non-stationary SVBRDFs using GANs and differentiable rendering
by: Duinkharjav, Budmonde.
Published: (2019) -
Computing stationary distribution locally
by: Lee, Christina (Christina Esther)
Published: (2013) -
Realization and approximation of stationary stochastic processes
by: Avniel, Yehuda
Published: (2005)