Search Results for "matlab implementation of the preisch model"
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Showing 11 open source projects for "matlab implementation of the preisch model"
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Hysteresis
Preisach type hysteresis models implemented in Matlab.
The Preisach function is considered as a product of two special one dimensional functions, which allows the analytical evaluation of the Everett integral. The derived expressions are included in static and dynamic hysteresis models, which are fast enough to be incorporated in electromagnetic software. If you find the codes usefull, please cite the following papers: [1] Zs. Szabó, J. Füzi, "Implementation and Identification of Preisach type Hysteresis Models with Everett Function in Closed... -
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The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.
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These Matlab codes are the implementation of the TASLP paper, "Speech enhancement based on student t modeling of Teager energy operated perceptual wavelet packet coefficients and a custom thresholding function". In this paper, we showed how the student t distribution can be used to model the perceptual wavelet packet coefficients and how a proper thresholding based on that perform speech enhancement in an efficient way. Teager energy has been used to amplify the difference between the noisy...
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Java Library for Machine Learning
A pure Java library for machine learning
JML is a machine learning library in Java, it is a pure Java package, and thus is cross-platform. The goal of JML is to make machine learning methods very easy to use and speed up code conversion from MATLAB to Java. Please be noted that JML has been replaced by LAML. -
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High-order HMM in Matlab
Implementation of duration high-order hidden Markov model in Matlab.
Implementation of duration high-order hidden Markov model (DHO-HMM) in Matlab with application in speech recognition. -
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An implementation of the Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method for MATLAB and R. The supplied functionality includes e.g. cross-validation, kernel parameter optimization, model diagnostics and plot tools.
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Top-down Modulated Pitch Model
An implementation for the Top-Down pitch model by E.Balaguer et al.
MATLAB implementation for the Top-Down Modulated Pitch model proposed by Balaguer-Ballester E., Clark, N., Coath, M., Krumholz, K. and Denham, S. L. in "Understanding Pitch Perception as a Hierarchical Process with Top-Down Modulation", published in "PLOS Computational Biology" in 2009 -
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MCTIMME
Microbial Counts Trajectories Infinite Mixture Model Engine
MCTIMME is a nonparametric Bayesian computational framework for analyzing microbial time-series data.The current implementation is in Matlab. -
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FFIS or Fast Fuzzy Inference System is a portable and optimized implementation of Fuzzy Inference Systems. It supports both Mamdani and Takagi-Sugeno methods. The main idea behind this tool, is to provide case-special techniques rather than general solutions to resolve complicated mathematical calculations. This will lead to have more efficient defuzzification algorithms for Mamdani's model. Most systems in Mamdani's model can be defuzzified in O(n²) or even O(n) time which n is number...
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10
easyNRG
A simple MATLAB implementation of Wilsons NRG-method
At the moment this code can calculate free electron gas and the SIAM (single-impurity-anderson-model) In this version, the only thing computed by the code is the energy flow. There is no calculation for any thermodynamic quantaties. The implementation is very slow and rather for educational purposes to get an idea of the NRG-method. For example: it is not considered, that only matrix elements between states, whos occupation number differs by one and S_z differs by 1/2. There is only... -
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An implementation of a new proposed model of smoothly spiking neural networks + a fully analytical gradient descent algorithm.
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