GKAGaussian Kernel Algorithm Correlation Dimension EstimationEstimatation of correlation dimension, entropy and noise level using theGKA algorithm.INSTALLATION- Place the contents of this archive in a directory on MATLAB's searchpath.- Compile the mex functions. On recent versions of MATLAB,>> mex interbinref.c>> mex interbin.cshould be sufficient. Older versions may require you to run mex -setupfirst. If you know nothing about mex files, start by reading the help.- run test.mUSAGESee individual help files and example in test.mDISTRIBUTIONPlease do not redistribute these programs without my permission. Thisdistribution can be obtained directly from the author. If you use theseprograms for anything interesting, let me know. If you use theseprograms in a published work please cite the appropriate source(s).DISCLAIMEREstimating invariants from noisy time series can be risky. Do *not*trust the output of this algorithm blindly. Any liability or problemscaused are yours!SOURCESC. Diks, "Estimating invariants of noisy attractors" Physical Review E53 (1996): R4263-R4266DJ Yu, M Small, R.G. Harrison and C. Diks, "Efficient implemntation ofthe Gaussian kernel algorithm in estimating invariants and noise levelfrom noisy time series data" Physical Review E 61 (2000): 3750-3756CONTACTFor further information or problems, please contact the author:Michael SmallElectronic and Information EngineeringHong Kong Polytechnic UniversityHung Hom, Kowloon, Hong Kongemail: ensmall@polyu.edu.hk25/2/2002