Results 41 to 50 of about 34,520,301 (258)
Journal of Statistical Software, 2011 This paper uses several examples to show how the econometrics program RATS can be used to analyze state space models. It demonstrates Kalman filtering and smoothing, estimation of hyperparameters, unconditional and conditional simulation.
Thomas Doan
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Audio Mamba: Bidirectional State Space Model for Audio Representation Learning [PDF]
IEEE Signal Processing LettersTransformers have rapidly become the preferred choice for audio classification, surpassing methods based on CNNs. However, Audio Spectrogram Transformers (ASTs) exhibit quadratic scaling due to self-attention. The removal of this quadratic self-attention
Mehmet Hamza Erol +3 more
semanticscholar +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Journal of Statistical Software, 2011 We illustrate how to estimate parameters of linear state-space models using the Stata program sspace. We provide examples of how to use sspace to estimate the parameters of unobserved-component models, vector autoregressive moving-average models, and ...
David M. Drukker, Richard B. Gates
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IET Renewable Power GenerationThe mechanism of oscillations that occur in the system connected to renewable energy sources is complex, generally including negative damping oscillation, limit induced oscillation etc.
Yuntao Wang +3 more
doaj +1 more source
Maximal Good Step Graph Methods for Reducing the Generation of the State Space
IEEE Access, 2019 This paper proposes an effective method based on the two main partial order techniques which are persistent sets and covering step graph techniques, to deal with the state explosion problem. First, we introduce a new definition of sound steps, the firing
Hao Dou +4 more
doaj +1 more source
State-space predictive control [PDF]
Modeling, Identification and Control, 1992 This paper deals with a predictive control strategy based on state-space models. Important issues concerning inherent model identification and optimal control computation are briefly discussed.
Jens G. Balchen +2 more
doaj +1 more source
FusionMamba: Efficient Remote Sensing Image Fusion With State Space Model [PDF]
IEEE Transactions on Geoscience and Remote SensingRemote sensing image fusion aims to generate a high-resolution multi/hyperspectral image by combining a high-resolution image with limited spectral data and a low-resolution image rich in spectral information. Current deep learning (DL) methods typically
Si-Ran Peng +4 more
semanticscholar +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
State Space Methods in Ox/SsfPack
Journal of Statistical Software, 2011 The use of state space models and their inference is illustrated using the package SsfPack for Ox. After a rather long introduction that explains the use of SsfPack and many of its functions, four case-studies illustrate the practical implementation of ...
Matteo M. Pelagatti
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