• wavelets are analysis tools for time series and images • as a subject, wavelets are − relatively new (1983 to present) − a synthesis of old/new ideas − keyword in 29, 826+ articles and books since 1989 (4032 more since 2005: an inundation of material!!!) • broadly speaking, there have been two waves of wavelets − continuous wavelet transform (1983 and on) − discrete wavelet transform (1988 an...

Spend your time even for only few minutes to read a book. Reading a book will never reduce and waste your time to be useless. Reading, for some people become a need that is to do every day such as spending time for eating. Now, what about you? Do you like to read a book? Now, we will show you a new book enPDFd time series analysis univariate and multivariate methods that can be a new way to exp...

The purpose of this document is to summarize Part I of the book “Time Series Analysis by State Space Methods ”, written by James Durbin and Siem Jan Koopman.

Today, real world time series data sets can take a size up to a trillion observations and even more. Data miners’ task is it to detect new information that is hidden in this massive amount of data. While well known techniques for data mining in cross sections have been developed, time series data mining methods are not as sophisticated and established yet. Large time series bring along problems...

The methods which are to be discussed in this review are designed for the purpose of analysing series of statistical observations taken at regular intervals in time. The methods have a wide range of applications. We can cite astronomy [18], meteorology [9], seismology [21], oceanography [10], [12], communications engineering and signal processing [17], the control of continuous process plants [...

Abstract: Forecasting the future evolution of a system based only on past information comprises a central scientific problem. In this work we investigate the comparative performance of recurrent multi–layer perceptrons, trained through backpropagation through time and the differential evolution algorithm, to perform one–step–ahead predictions for the laser time series (Data set A) from the Sant...