Description: 创建25个谐波的傅立叶级数，计算三角形式的傅立叶级数并将计算结果和转换结果相比较，最后绘制频谱。-The creation of 25 harmonic Fourier series, calculation of the triangular form of Fourier series and the results of calculations and conversions, compared to the final rendering spectrum. Platform: |
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Author:胡燕 |
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Description: 【原 书 名】 A First Course in Wavelets with Fourier Analysis
【原出版社】 Addison Wesley/Pearson
【作 者】[美]Albert Boggess,Francis J.Narcowich [同作者作品] [作译者介绍]
【译 者】 芮国胜[同译者作品] 康健 等
【丛 书 名】 国外电子与通信教材系列
【出 版 社】 电子工业出版社
本书的目的主要是向读者展示傅里叶分析和小波的许多基础知识以及在信号分析方面的应用。全书分为8章和2个附录，前言部分是学习第1章至第7章的准备知识，即内积空间；第1章讲解傅里叶系列的基础知识；第2章讲解傅里叶变换；第3章介绍离散傅里叶变换以及快速傅里叶变换；第4章至第7章讨论小波，重点在于正交小波的构建；附录部分则介绍稍微复杂的一些技术主题以及演示概念或产生图形的MATLAB代码。许多关于小波的文章和参考书籍均要求读者具有复杂的数学背景知识，本书则只要求学生具有较好的微积分以及线性代数知识，通俗易懂，是数学、计算机、电子、通信、地质、医学、机械等专业高年级本科生及研究生的基础教科书，也可作为相关技术人员的参考书。
-The original title】 【A First Course in Wavelets with Fourier Analysis
Publishing】 【Addison Wesley/Pearson
【Author】 [U.S.] Albert Boggess, Francis J. Narcowich [with the author of works] [for the translator to introduce]
Rui Sheng】 【translator [translator works with] healthy, etc.
Series Name】 【abroad range of electronic and communications materials
】 【Press Publishing House of Electronics Industry
The main purpose of this book is to show readers Fourier and wavelet analysis of many of the basic knowledge and the application of signal analysis. The topics are divided into 8 chapters and two appendices, the preamble is to learn from Chapter 1 to Chapter 7 of the preparation of knowledge, that is, inner product space Chapter 1 to explain the basics of Fourier series Chapter 2 on Fourier Transform Chapter 3 introduced the Discrete Fourier Transform and Fast Fourier Transform Chapter 4 to Chapter 7 to discuss wavelet, with emphasis on the construction of orthogonal wavele Platform: |
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Author:zf2002406 |
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Description: 从数学的角度讲，小波是构造函数空间正交基的基本单元，是在能量有限空间L2(R) 上满足允许条件的函数，这样认识小波需要L2(R) 空间的基础知识，特别是内积空间中空间分解、函数变换等的基础知识。
从信号处理的角度讲，小波(变换)是强有力的时频分析(处理)工具，是在克服傅立叶变换缺点的基础上发展而来的，所以从信号处理的角度认识小波，需要傅立叶变换、傅立叶级数、滤波器等的基础知识。-From the mathematical point of view, is to construct a wavelet orthogonal basis function space the basic unit of energy is limited in space L2 (R) function to meet the permit conditions, such wavelets need to know L2 (R) space for the basics, especially in the inner product space in the space decomposition, such as the basics of function transformation.
From the perspective of signal processing, wavelet (transform) is a powerful time-frequency analysis (processing) tools, is to overcome the shortcomings of the Fourier transform on the basis of evolved, so from the perspective of wavelet signal processing, need to Fourier transform, Fourier series, filters and other basics.
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Author:王升 |
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