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lgli/米克斯 - 华章数学译丛21小波基础及应用教程.pdf
华章数学译丛21小波基础及应用教程 🔍
（美）米克斯（Mix，D.F.）等蓍 杨志华，杨力华译 北京:机械工业出版社, Hua zhang shu xue yi cong, Bei jing, 2006
英语 [en] · 中文 [zh] · PDF · 10.7MB · 2006 · 📘 非小说类图书 · 🚀/duxiu/lgli/zlib · Save
描述
An indispensable guide to understanding wavelets Elements of Wavelets for Engineers and Scientists is a guide to wavelets for "the rest of us"–practicing engineers and scientists, nonmathematicians who want to understand and apply such tools as fast Fourier and wavelet transforms. It is carefully designed to help professionals in nonmathematical fields comprehend this very mathematically sophisticated topic and be prepared for further study on a more mathematically rigorous level. Detailed discussions, worked-out examples, drawings, and drill problems provide step-by-step guidance on fundamental concepts such as vector spaces, metric, norm, inner product, basis, dimension, biorthogonality, and matrices. Chapters explore . . . Functions and transforms The sampling theorem Multirate processing The fast Fourier transform The wavelet transform QMF filters Practical wavelets and filters . . . as well as many new wavelet applications–image compression, turbulence, and pattern recognition, for instance–that have resulted from recent synergies in fields such as quantum physics and seismic geology. Elements of Wavelets for Engineers and Scientists is a must for every practicing engineer, scientist, computer programmer, and student needing a practical, top-to-bottom grasp of wavelets.
备用文件名
zlib/no-category/米克斯/华章数学译丛21小波基础及应用教程_27022776.pdf
备选标题
小波基础及应用教程 = Elements of wavelets for engineers and scientists
备选作者
(美)Dwight F. Mix, (美)Kraig J. Olejniczak著 ; 杨志华, 杨力华译; 米克斯; 奥莱伊尼恰克; 杨志华; 杨力华
备选作者
Mix, Dwight F., Olejniczak, Kraig J.
备用出版商
Jossey-Bass, Incorporated Publishers
备用出版商
John Wiley & Sons, Incorporated
备用出版商
WILEY COMPUTING Publisher
备用出版商
China Machine Press
备用出版商
Wiley-Interscience
备用出版商
Wiley Interscience
备用版本
United States, United States of America
备用版本
China, People's Republic, China
备用版本
Hoboken, NJ, New Jersey, 2003
备用版本
New York, N.Y, 2003
备用版本
1, 2003
元数据中的注释
Includes index.
元数据中的注释
Bookmarks: p0-1 (p1): 目录
p0-2 (p1): 译者序
p0-3 (p1): 前言
p0-4 (p1): 第1章 函数与变换
p0-5 (p1): 1.1　小波变换
p0-6 (p4): 1.2　变换
p0-7 (p7): 1.3　能量信号与功率信号
p0-8 (p13): 1.4　确定性信号与随机信号
p0-9 (p14): 1.5　傅里叶变换与哈尔变换
p0-10 (p20): 第2章 向量
p0-11 (p21): 2.1 向量空间
p0-12 (p25): 2.2 度量空间
p0-13 (p29): 2.3　范数
p0-14 (p30): 2.4 内积
p0-15 (p35): 2.5 正交性
p0-16 (p37): 第3章 基和维数
p0-17 (p38): 3.1　线性无关
p0-18 (p40): 3.2　基
p0-19 (p42): 3.3　维数和张空间
p0-20 (p44): 3.4　对偶基
p0-21 (p51): 第4章 线性变换
p0-22 (p51): 4.1 向量的分量
p0-23 (p54): 4.2　矩阵
p0-24 (p63): 第5章 采样定理
p0-25 (p63): 5.1　奈奎斯特采样率
p0-26 (p69): 5.2　非周期采样
p0-27 (p71): 5.3　量化和脉冲编码调制
p0-28 (p73): 5.4　压扩量化
p0-29 (p75): 6.1 下采样
p0-30 (p75): 第6章 多速率采样
p0-31 (p81): 6.2　上采样
p0-32 (p83): 6.3　分数采样率改变
p0-33 (p87): 6.4　下采样与相关
p0-34 (p91): 6.5 上采样与卷积
p0-35 (p95): 第7章 快速傅里叶变换
p0-36 (p95): 7.1　离散傅里叶级数
p0-37 (p98): 7.2　矩阵分解的观点
p0-38 (p100): 7.3　信号流程图表示
p0-39 (p109): 7.4　下采样的观点
p0-40 (p113): 第8章 小波变换
p0-41 (p113): 8.1　尺度函数与小波
p0-42 (p126): 8.2　离散小波变换
p0-43 (p133): 9.1　全通滤波器
p0-44 (p133): 第9章 正交镜像滤波器
p0-45 (p142): 9.2　正交镜像滤波器
p0-46 (p146): 9.3　滤波器组
p0-47 (p154): 第10章 实用小波和滤波器
p0-48 (p154): 10.1　实用小波
p0-49 (p159): 10.2　神奇的算法
p0-50 (p164): 10.3　其他小波
p0-51 (p169): 10.4　变换矩阵
p0-52 (p174): 第11章 小波的应用
p0-53 (p174): 11.1 自上而下的方法
p0-54 (p181): 11.2　模式识别
p0-55 (p183): 11.3　隐含的奇性
p0-56 (p185): 11.4　数据压缩
p0-57 (p188): 索引
备用描述
An indispensable guide to understanding wavelets Elements of Wavelets for Engineers and Scientists is a guide to wavelets for "the rest of us"--Practicing engineers and scientists, nonmathematicians who want to understand and apply such tools as fast Fourier and wavelet transforms. It is carefully designed to help professionals in nonmathematical fields comprehend this very mathematically sophisticated topic and be prepared for further study on a more mathematically rigorous level. Detailed discussions, worked-out examples, drawings, and drill problems provide step-by-step guidance on fundamental concepts such as vector spaces, metric, norm, inner product, basis, dimension, biorthogonality, and matrices. Chapters explore ... Functions and transforms The sampling theorem Multirate processing The fast Fourier transform The wavelet transform QMF filters Practical wavelets and filters ... as well as many new wavelet applications-image compression, turbulence, and pattern recognition, for instance-that have resulted from recent synergies in fields such as quantum physics and seismic geology.; Elements of Wavelets for Engineers and Scientists is a must for every practicing engineer, scientist, computer programmer, and student needing a practical, top-to-bottom grasp of wavelets
备用描述
"Elements of Wavelets for Engineers and Scientists is a guide to wavelets for "the rest of us"--Practicing engineers and scientists, nonmathematicians who want to understand and apply such tools as fast Fourier and wavelet transforms. It is carefully designed to help professionals in nonmathematical fields comprehend this very mathematically sophisticated topic and be prepared for further study on a more mathematically rigorous level."--Jacket
备用描述
Wavelets are mathematical functions that cut up data into different frequency components, and then study each component with a resolution matched to its scale. They have advantages over traditional Fourier methods in analyzing physical situations where the signal contains discontinuities and sharp spikes
备用描述
本书通过大量实例讲述小波与经典信号处理之间的关系, 主要内容包括:函数与变换, 采样定理, 多采样率处理, 快速傅里叶变换等
开源日期
2023-12-04
更多信息……

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