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Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat
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简体网页||繁体网页
Donald B. Percival 作者
Cambridge University Press
译者
2006-02-27 出版日期
622 页数
USD 58.00 价格
Paperback
丛书系列
9780521685085 图书编码

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在线电子书 图书标签: 统计  概率  数学  小波  计算机科学  方法  for  Wavelet   

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Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在线电子书 著者简介

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在线电子书 图书目录

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Wavelet Methods for Time Series Analysis (Cambridge Series in Statistical and Probabilistic Mathemat 在线电子书 图书描述

This introduction to wavelet analysis 'from the ground level and up', and to wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed descriptions of the theory and algorithms needed to understand and implement the discrete wavelet transforms. Numerous examples illustrate the techniques on actual time series. The many embedded exercises - with complete solutions provided in the Appendix - allow readers to use the book for self-guided study. Additional exercises can be used in a classroom setting. A Web site offers access to the time series and wavelets used in the book, as well as information on accessing software in S-Plus and other languages. Students and researchers wishing to use wavelet methods to analyze time series will find this book essential.

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