# Matlab Code for Texture Analysis using 2-Dimensional Wavelet Packet Spectrum

The following package and source code is about 2-Dimensional Wavelet Packet Spectrum for Texture Analysis.

The following package and source code is based on T. Oberlin, S. Meignen and V. Perrier, "An Alternative Formulation for the Empirical Mode Decomposition", IEEE Transactions on Signal Processing.

The following package and source code is based on S. Meignen, T. Oberlin and S. McLaughlin,"A New algorithm for Multicomponent Signals Analysis based on SynchroSqueezing: With an Application to Signal Sampling and Denoising".

The following package and source code is based on F. Auger, P. Flandrin, Y-T. Lin, S. McLaughlin, S. Meignen, T. Oberlin, H-T. Wu, "An Overview of Time-Frequency Reassignment and Synchrosqueezing".

The following package and source code is about NonLinear Multiscale Representation that is based on B. Mateï, S. Meignen, "On NonLinear Multiscale Representation for Piecewise Polynomial Signals: Application to Compression and Denoising".

The following package and source code allows heatmap matrix to have non-identical X- and Y-dimensions.

The following package and source code is used for Statistical analysis of static chamber concentration data for trace gas flux estimation.

Texas hold 'em is a variation of the standard card game of poker. The following package and source code is used to simulate hands and tournaments of Texas Holdem.

The following package and source code is used for analysis of building physics experiments.

The following package and source code is used forICOMP criterion,that Calculates the ICOMP criterion and its variations.

The following package and source code is used for Interactive Mapping that can Zoom in and out of maps or any supplied lines or points, with control for color, poly fill, and aspect.

The following package and source code is used for Increamental Mixture Importance Sampling, that draws samples from the posterior distribution.

The following package and source code is used for Identifying Causal Effect for Multi-Component Intervention, which can estimate direct and indirect causal effects with randomization and multiple-component intervention using instrumental .

The following package and source code is used for Infine-dimensional model that contains functions to perform calculations of the infine-dimensional model (IDM) and to produce 95% confidence intervals around the model elements through bootstrapping.

The following package and source code is used for numerical encoding as well as for linear and non-linear interpolation of amino acid sequences.

The following package and source code is used for introgression analysis between divergent lineages. Functions are also provided for maximum likelihood estimation of molecular hybrid index and graphical analysis.

The following package and source code is used for interval symbolic data analysis that describes a set of operations for symbolic data type based on interval-valued.

The following package and source code is used to calculate the isotopic pattern (fine structures) for a given chemical formula.

The following package and source code is used for Fractal Image Data Generator that generates image data for fractalson the complex plane in the given region and resolution.

The following package and source code is used to implement efficient ways to evaluate and solve equations of the form Ax=b, where A is a kronecker product of matrices. Functions to solve least squares problems of this type are also included.

The following package and source code is used to check the power of seveal statistical models moving sample size k using half-Cross Validation.

The following package and source code implement Kolmogorov-Zurbenko Fourier transform based periodograms and smoothing methods.

The following package is about Learning Bayesian Inference. it may be helpful in learning the basic tenets of Bayesian statistical inference..

The following contains the description of the m-files available in the toolbox for Multivariate Multiscale Complexity Analysis

The Delay vector variance (DVV) method uses predictability of the signal in phase space to characterize the time series. The following Matlab code and examples are used for Delay vector variance.

The following Matlab code and examples are used for Multivariate Empirical Mode Decomposition that is based on A. Ahrabian, N. Rehman, and D. P. Mandic, "Bivariate Empirical Mode Decomposition for Unbalanced Real-World Signals," IEEE Signal Processing Letters, vol. 20, no. 3, pp. 245-248, 2013.

The following package and source code is about Longest Increasing Subsequence Independence Test for continuous random variables.

The following package and source code is about Linear Mixed-Effects Models with Censored Responses but allowing for censored normal responses.

The following package and source code is about the Entropy Optimization Distributions, that implements entropy optimization distribution under specified constraints.