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博碩士論文 etd-0202109-095219 詳細資訊
Title page for etd-0202109-095219
論文名稱
Title
用Tschirnhaus轉換的方式計算線頻譜對
The Computation of Line Spectrum Pair Frequencies Using Tschirnhaus Transform
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
46
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2009-01-20
繳交日期
Date of Submission
2009-02-02
關鍵字
Keywords
Tschirnhaus 轉換、線頻譜對、四次方程
quartic equation, Tschirnhaus Transform, LSP
統計
Statistics
本論文已被瀏覽 5710 次,被下載 2992
The thesis/dissertation has been browsed 5710 times, has been downloaded 2992 times.
中文摘要
Tschirnhaus轉換是一種解四次多項式方程的方式.如果四次方程的4個根都是相異實數,我們可以導出一個簡單的公式來降低10階線頻譜對的計算複雜度.但在計算過程中取反三角函數會增加在應用硬體上的計算量,我們將討論一些方法取代它,使得晶片計算更加迅捷.同時附上和改良型無複數 Farrari公式計算結果的比較表
Abstract
The Tschirnhaus Transform is a method to solve quartic equations. If the quartic equation has four distinct real roots, a low computation complexity algorithm is proposed and applied to the the 10-order
Line Spectrum Pairs(LSP).However, during the procedures of calculation, the existence of the inverse trigonometric functions increase the computation load of the hardware implementation. We also propose some methods to solve this problem and increase the
speed of the calculation. A table of comparison result with the previous proposed Complex-Free Farrari formula is also included.
目次 Table of Contents
1 Introduction 5
2 Line Spectrum Pair Frequencies 7
3 Tschirnhaus Transform 9
4 Approximate cosθ/3 by some methods 21
5 Compared with the Modified Complex-Free Farrari Formula 35
6 Solve 10-order LSP 39
Reference 41
參考文獻 References
[1] S. H. Chen, Yaotsu Chang, and J. C. Ruan, ”An Efficient Computation of
LSP Frequencies Using Modified Complex-Free Ferrari Formula,” Journal
of Signal Processing Systems, Vol. 52, No. 2, pp.153-163, Aug. 2008.
[2] F. K. Soong and B. H. Juang, ”Line spectrum pair (LSP) and speech
data compression,” in Proc. ICASSP-84, pp. 1.10.1-1.10.4, Mar.1984.
[3] P. Kabal and R. P. Ramachandran, ”Computation of line spectral frequencies
using Chebyshev polynomials,” IEEE Trans. Acoust., Speech,
Signal Processing, Vol. ASSP-34, pp. 1419-1426, Dec 1986.
[4] J. Rothweiler, ”On polynomial reduction in the computation of LSP frequencies,”
IEEE Trans. Speech Audio Processing, vol. 7, pp. 592-594,
Sept. 1999.
[5] http://www.math.tku.edu.tw/chinese/mathhall/request/4order.pdf
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