A factor graph approach to automated design of Bayesian signal processing algorithms
نویسندگان
چکیده
منابع مشابه
The Factor Graph Approach to Model-Based Signal Processing Factor graphs can model complex systems and help to design effective algorithms for detection and estimation problems
| The message-passing approach to model-based signal processing is developed with a focus on Gaussian message passing in linear state-space models, which includes recursive least squares, linear minimum-mean-squared-error estimation, and Kalman filtering algorithms. Tabulated message computation rules for the building blocks of linear models allow us to compose a variety of such algorithms with...
متن کاملA Factor Graph Approach to Automated GO Annotation
As volume of genomic data grows, computational methods become essential for providing a first glimpse onto gene annotations. Automated Gene Ontology (GO) annotation methods based on hierarchical ensemble classification techniques are particularly interesting when interpretability of annotation results is a main concern. In these methods, raw GO-term predictions computed by base binary classifie...
متن کاملA Factor Graph Approach to Model-Based Signal Separation
This doctoral thesis is about a rather new model-based signal processing methodology that is based on factor graphs and message-passing algorithms. Using this, we have developed exemplary signal processing algorithms for various biomedical applications. The main application to evaluate and demonstrate this new methodology was in the field of electromyographic (EMG) signal analysis. EMG signals ...
متن کاملBattery - Friendly Design of Signal Processing Algorithms
Portable systems today are designed with lowering the energy consumption as the primary design metric. This is unfortunate since maximizing battery lifetime is a more appropriate inetric, and lowering energy does not necessarily mean improving battery lifetime. In this paper we first show h o w to design battery-friendly implementations of common signal processing kernels such as FIR filters an...
متن کاملA Signal Processing Approach to Estimate Underwater Network Cardinalities with Lower Complexity
An inspection of signal processing approach in order to estimate underwater network cardinalities is conducted in this research. A matter of key prominence for underwater network is its cardinality estimation as the number of active cardinalities varies several times due to numerous natural and artificial reasons due to harsh underwater circumstances. So, a proper estimation technique is mandat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2019
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2018.11.002