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Jingdong book

国外电子与通信教材系列：离散时间信号处理（第3版）

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Jingdong book

国外电子与通信教材系列：离散时间信号处理（第3版）

Name: 国外电子与通信教材系列：离散时间信号处理（第3版）
Brand: Jingdong book
SKU: 3101008381
Price: 42.82 USD
Availability: OutOfStock

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《离散时间信号处理（第3版）》美国麻省理工学院A.V.奥本海姆和佐治亚理工学院R.W.谢弗教授合力撰写，系统论述了离散时间信号处理的基本理论和方法，是国际信号处理领域中的经典权威教材。

Content Description

《离散时间信号处理（第3版）》系统论述了离散时间信号处理的基本理论和方法，是国际信号处理领域中的经典权威教材。内容包括离散时间信号与系统，z变换，连续时间信号的采样，线性时不变系统的变换分析，离散时间系统结构，滤波器设计方法，离散傅里叶变换，离散傅里叶变换的计算，利用离散傅里叶变换的信号傅里叶分析，参数信号建模，离散希尔伯特变换，倒谱分析与同态解卷积。本书例题和习题丰富，具有实用价值。

Author Description

Alan V.Oppenheim，美国麻省理工学院（MIT）电气与计算机科学系Ford教授，MIT电子学研究实验室（RLE）首席研究员，美国国家工程院院士，IEEE会士，研究兴趣为通用领域的信号处理及应用，曾因出色的科研和教学工作多次获奖。另著有Signals and Systems。

Catalogue

第1章绪论
第2章离散时间信号与系统
2.0引言
2.1离散时间信号
2.2离散时间系统
2.3线性时不变(LTI)系统
2.4线性时不变系统的性质
2.5线性常系数差分方程
2.6离散时间信号与系统的频域表示
2.7用傅里叶变换表示序列
2.8傅里叶变换的对称性质
2.9傅里叶变换定理
2.10离散时间随机信号
2.11小结
习题

第3章z变换
3.0引言
3.1z变换
3.2z变换收敛域的性质
3.3z逆变换
3.4z变换性质
3.5z变换与LTI系统
3.6单边z变换
3.7小结
习题

第4章连续时间信号的采样
4.0引言
4.1周期采样
4.2采样的频域表示
4.3由样本重构带限信号
4.4连续时间信号的离散时间处理
4.5离散时间信号的连续时间处理
4.6利用离散时间处理改变采样率
4.7多采样率信号处理
4.8模拟信号的数字处理
4.9在A/D和D/A转换中的过采样和噪声形成
4.10小结
习题

第5章线性时不变系统的变换分析
5．0引言
5.1LTI系统的频率响应
5．2用线性常系数差分方程表征系统
5．3有理系统函数的频率响应
5．4幅度和相位之间的关系
5．5全通系统
5．6最小相位系统
5．7广义线性相位的线性系统
5．8小结
习题

第6章离散时间系统结构
6.0引言
6.1线性常系数差分方程的方框图表示
6.2线性常系数差分方程的信号流图表示
6.3IIR系统的基本结构
6.4转置形式
6.5FIR系统的基本网络结构
6.6格型滤波器
6.7有限精度数值效应概述
6.8系数量化效应
6.9数字滤波器中的舍入噪声效应
6.10IIR数字滤波器定点实现中的零输入极限环
6.11小结
习题

第7章滤波器设计方法
7.0引言
7.1滤波器技术指标
7.2由连续时间滤波器设计离散时间IIR滤波器
7.3离散时间巴特沃思、切比雪夫和椭圆滤波器
7.4低通IIR滤波器的频率变换
7.5用窗函数法设计FIR滤波器
7.6Kaiser窗法设计FIR滤波器举例
7.7FIR滤波器的最佳逼近
7.8FIR等波纹逼近举例
7.9IIR和FIR数字滤波器的评价
7.10增采样滤波器的设计
7.11小结
习题

第8章离散傅里叶变换
8.0引言
8.1周期序列的表示――离散傅里叶级数
8.2离散傅里叶级数的性质
8.3周期信号的傅里叶变换
8.4对傅里叶变换采样
8.5有限长序列的傅里叶表示――离散傅里叶变换
8.6离散傅里叶变换的性质
8.7用离散傅里叶变换实现线性卷积
8.8离散余弦变换(DCT)
8.9小结
习题

第9章离散傅里叶变换的计算
9.0引言
9.1离散傅里叶变换的直接计算
9.2按时间抽取的FFT算法
9.3按频率抽取的FFT算法
9.4实现问题考虑
9.5更一般的FFT算法
9.6用卷积实现DFT
9.7有限寄存器长度的影响
9.8小结
习题

第10章利用离散傅里叶变换的信号傅里叶分析
10.0引言
10.1用DFT的信号傅里叶分析
10.2正弦信号的DFT分析
10.3依时傅里叶变换
10.4非平稳信号的傅里叶分析举例
10.5平稳随机信号的傅里叶分析――周期图
10.6利用自相关序列估计的随机信号谱分析
10.7小结
习题

第11章参数信号建模
11.0引言
11.1信号的全极点建模
11.2确定性信号与随机信号建模
11.3相关函数的估计
11.4模型阶数
11.5全极点频谱分析
11.6自相关正规方程组的求解
11.7格型滤波器
11.8小结
习题

第12章离散希尔伯特变换
12.0引言
12.1因果序列傅里叶变换实部和虚部的充分性
12.2有限长序列的充分性定理
12.3幅度与相位间的关系
12.4复序列的希尔伯特变换关系
12.5小结
习题

第13章倒谱分析和同态解卷积
13.0引言
13.1倒谱的定义
13.2复倒谱的定义
13.3复对数的性质
13.4复倒谱的另一种表示
13.5指数序列的复倒谱，最小相位和最大相位序列
13.6复倒谱的计算
13.7多项式求根法计算复倒谱
13.8基于复倒谱的解卷积
13.9一个简单的多径模型的复倒谱
13.10在语音处理中的应用
13.11小结
习题

附录A随机信号
附录B连续时间滤波器
附录C部分习题答案
附录D术语对照表
参考文献

Book Abstract

信号处理丰富的历史和广阔的未来，源自于日益复杂的应用、新的理论进展以及不断涌现出的新的硬件结构和平台之间的强力协作。信号处理应用横跨了多门学科，包括娱乐、通信、空间探索、医学、考古学和地球物理学等，不胜枚举。信号处理算法和硬件广泛见于各种系统，从专用的军事系统和工业应用，到各种廉价大宗的消费电子产品。虽然人们认为多媒体系统，如高清视频、高保真度音响系统和互动游戏等具有的卓越性能是理所当然的，但其实这些系统的性能好坏都强烈地依赖于当今信号处理的发展水平。所有的现代移动电话，其核心就是高级数字信号处理器。MPEG音频、视频以及JPEG①图像数据压缩标准都强烈地依赖于本书所讨论的许多信号处理原理和技术。高密度数据存储装置和新的同态存储器越来越依赖于采用信号处理技术来实现相对于其他膪性技术的稳固性和鲁棒性。当展望未来时，信号处理的作用仍在日益增强，这其中的一部分原冈就是，无论在民用领域，还是在先进的工业和政府部门的应用中，通信、计算机和信号处理都是融为一体的。

日渐扩展的应用范围和对日益复杂的算法的需求总是与实现信号处理系统的器件技术的快速发展齐头并进的。有人预测，在下一个10年内，专用信号处理微处理器及个人计算机的处理能力有可能增加几个数量级，这甚至已逼近摩尔定理的极限。显然，信号处理的重要性和地位将继续以越来越快的速度向前发展和扩大。

信号处理关注的是信号及其所包含信息的表示、变换和运算。例如，可能希望对两个或多个经过某种操作，如加法、乘法或卷积处理，而混合在一起的信号进行分离，或者要想来增强某些信号分量或估计一个信号模型中的某些参量。在通信系统中，信号在送人一条通信信道上进行传输之前，一般要做一些类似调制、信号调节和压缩等操作的预处理，然后在接收端进行后处理以恢复原始信号的复制版本。早在20世纪60年代之前，这类信号处理手段几乎无一例外地都是连续时间的模拟技术②。数字计算机和微处理器的飞速发展，以及模拟到数字（A／D）和数字到模拟（D／A）转换的低成本芯片的出现，导致了向数字技术方面的不断转移。技术上的这些发展还得到了许多重要理论进展的增援，例如快速傅里叶变换（FFT）算法、参数信号建模、多采样率技术、多相滤波器实现和诸如小波展开的信号表示新方法等。模拟无线电通信系统正在演变为一种可重新配置的、几乎完全由数字计算实现的“软件无线电”系统，这正是向数字技术转移的典型例子。

离散时间信号处理的本质是对用整数变量进行标号的数值序列的处理，该序列并不是一个连续独立变量的函数。在数字信号处理（DsP）中，信号是用有限精度的数的序列来表示的，且用数字运算来实现处理。更为一般的术语——离散时间信号处理，既包括了作为一种特殊情况的数字信号处理，也包括了用其他一些离散时间技术处理样本序列（采样数据）的可能。离散时间信号处理和数字信号处理这两个术语之问的区别并不重要，因为两者关心的都是离散时间信号。当采用高精度计算时，这一点显得尤为正确。虽然有很多例子其中要处理的信号本身就是离散时间序列。

……

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