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Фотографии

[ 统计信号处理基础 ]

[作] [者:][Steven M.Kay 著作罗鹏飞等译者]

[定] [价:]99

[出版社:][电子工业出版社]

[出版日期:][2014年06月01日]

[页] [数:]735

[装] [帧:][平装]

ISBN:9787121234484

[●][卷I：统计信号处理基础――估计理论 ]
[●][第1章]  [引言 ]
[●]1.1  [信号处理中的估计 ]
[●]1.2  [估计的数学问题 ]
[●]1.3  [估计量性能评估 ]
[●]1.4  [几点说明 ]
[●][参考文献 ]
[●][习题 ]
[●][第2章]  [最小方差无偏估计 ]
[●]2.1  [引言 ]
[●]2.2  [小结 ]
[●]2.3  [无偏估计量 ]
[●]2.4  [最小方差准则 ]
[●]2.5  [最小方差无偏估计的存在性 ]
[●]2.6  [求最小方差无偏估计量 ]
[●]2.7  [扩展到矢量参数 ]
[●][参考文献 ]
[●][习题 ]
[●][第3章]  [Cramer-Rao下限 ]
[●]3.1  [引言...... ]

[内容简介]

[ 本书是一部经典的有关统计信号处理的很好不错著作。全书分为两卷，分别讲解了统计信号处理基础的估计理论和检测理论。卷I详细介绍了经典估计理论和贝叶斯估计，总结了各种估计方法，考虑了维纳滤波和卡尔曼滤波，并介绍了对复数据和参数的估计方法。卷II全面介绍了计算机上实现的很好检测算法，并且重点介绍了现实中的信号处理应用，包括现代语音、通信技术以及传统的声纳/雷达系统。本卷从检测的基础理论开始，复习了高斯，c2、F、瑞利及莱斯概率密度；讲解了高斯随机变量的二次型，以及渐近高斯概率密度和蒙特卡洛性能评估。 ]

[Steven M.Kay 著作罗鹏飞等译者]

Steven [M.Kay，美国罗德岛大学电子与计算机工程系的教授，IEEE会士，信号处理领域资历专家，曾发表过大量论文与学术报告，并撰写过多部著作。研究方向为频谱分析、检测和估计理论、统计信号处理。 ]