A New Twist to Fourier Transforms
暫譯: 傅立葉變換的新視角
Hamish D. Meikle
- 出版商: Wiley
- 出版日期: 2004-04-12
- 售價: $4,450
- 貴賓價: 9.5 折 $4,228
- 語言: 英文
- 頁數: 238
- 裝訂: Paperback
- ISBN: 3527404414
- ISBN-13: 9783527404414
海外代購書籍(需單獨結帳)
買這商品的人也買了...
-
$2,360$2,242 -
$550$435 -
$490$387 -
$580$493 -
$680$537 -
$750$593 -
$520$442 -
$890$703 -
$620$490 -
$860$731 -
$580$458 -
$450$351 -
$450$297 -
$580$493 -
$880$695 -
$620$527 -
$650$553 -
$450$351 -
$550$468 -
$350$273 -
$580$493 -
$390$332 -
$350$273 -
$350$273 -
$675Java Messaging (Paperback)
相關主題
商品描述
Description:
Making use of the inherent helix in the Fourier transform expression, this book illustrates both Fourier transforms and their properties in the round. The author draws on elementary complex algebra to manipulate the transforms, presenting the ideas in such a way as to avoid pages of complicated mathematics. Similarly, abbreviations are not used throughout and the language is kept deliberately clear so that the result is a text that is accessible to a much wider readership.
The treatment is extended with the use of sampled data to finite and discrete transforms, the fast Fourier transform, or FFT, being a special case of a discrete transform. The application of Fourier transforms in statistics is illustrated for the first time using the examples operational research and later radar detection. In addition, a whole chapter on tapering or weighting functions is added for reference. The whole is rounded off by a glossary and examples of diagrams in three dimensions made possible by today's mathematics programs.
Table of Contents:
1. The Fourier Transform and the Helix.3. Fourier Transforms. 4. Continuous, Finite, and Discrete Fourier Transforms.
5. Tapering Functions.
6. Fourier Transforms in Statistics.
7. Noise and Pseudo-random Signals.
Appendix A: Glossary.
Appendix B: Maple Graphical Expressions.
Index.
商品描述(中文翻譯)
**描述:**
利用傅立葉變換表達式中固有的螺旋特性,本書全面說明了傅立葉變換及其性質。作者運用基本的複數代數來操作變換,並以避免繁瑣數學頁面的方式呈現這些概念。同樣地,整本書不使用縮寫,語言保持清晰,以便使文本能夠被更廣泛的讀者所理解。
本書的內容擴展至使用取樣數據的有限和離散變換,其中快速傅立葉變換(FFT)是離散變換的一個特例。傅立葉變換在統計學中的應用首次通過運營研究和後來的雷達檢測示例進行說明。此外,還增加了一整章關於加權函數的內容以供參考。整本書以詞彙表和由當今數學程序所實現的三維圖示範例作為結尾。
**目錄:**
1. 傅立葉變換與螺旋
2. 螺旋與螺旋函數
3. 傅立葉變換
4. 連續、有限與離散傅立葉變換
5. 加權函數
6. 統計學中的傅立葉變換
7. 噪聲與偽隨機信號
附錄 A:詞彙表
附錄 B:Maple 圖形表達
索引