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wav and recurrance plots", "url": "https://laszukdawid.com/blog/2015/09/04/emd-on-audio-wav-and-recurrance-plots", "published_at": "2015-09-04T00:00:00+00:00" }, { "id": "01a08798-b35f-7394-b617-756b40a853ef", "title": "Frequentism and Bayesianism", "url": "https://laszukdawid.com/blog/2015/08/25/frequentism-and-bayesianism", "published_at": "2015-08-25T00:00:00+00:00" }, { "id": "01a08798-b35f-7394-b617-756b413c6e64", "title": "Bayesian inference in Kuramoto model", "url": "https://laszukdawid.com/blog/2015/05/18/bayesian-inference-in-kuramoto-model", "published_at": "2015-05-18T00:00:00+00:00" }, { "id": "01a08798-b35f-7394-b617-756b41fb0f64", "title": "Particle Swarm Optimisation in Python", "url": "https://laszukdawid.com/blog/2015/03/10/particle-swarm-optimisation-in-python", "published_at": "2015-03-10T00:00:00+00:00" }, { "id": "01a08798-b35f-7394-b617-756b42baadf2", "title": "Training in Mathematica", "url": "https://laszukdawid.com/blog/2015/02/18/training-in-mathematica", "published_at": "2015-02-18T00:00:00+00:00" }, { "id": "01a08798-b35f-7394-b617-756b42e0ff14", "title": "Mathematica for solving coupled ordinary differential equation", "url": "https://laszukdawid.com/blog/2015/01/31/mathematica-for-solving-coupled-ordinary-differential-equation", "published_at": "2015-01-31T00:00:00+00:00" }, { "id": "01a08798-b35f-7394-b617-756b42f36c02", "title": "Ensemble empirical mode decomposition (EEMD)", "url": "https://laszukdawid.com/blog/2014/09/10/ensemble-empirical-mode-decomposition-eemd", "published_at": "2014-09-10T00:00:00+00:00" }, { "id": "01a08798-b35f-7394-b617-756b43c0390e", "title": "Plots in matplotlib pylab", "url": "https://laszukdawid.com/blog/2014/08/13/plots-in-matplotlib-pylab", "published_at": "2014-08-13T00:00:00+00:00" }, { "id": "01a08798-b35f-7394-b617-756b445ed0fa", "title": "EMD as dyadic filter bank", "url": "https://laszukdawid.com/blog/2014/07/21/emd-as-dyadic-filter-bank", "published_at": "2014-07-21T00:00:00+00:00" } ] posts Claim your blog
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