Page 1 新编《信息,控制与系统》系列教材 Detection of Weak Signals SINGHUA PRESS UNIV
微弱信号检测 高晋占编著 Gao Jinzhan TUP 清华大学出版社 Springer SINGHU PRESS …

Adaptive filters with a large number of coefficients are usually involved in both network and
acoustic echo cancellation. Consequently, it is important to improve the convergence rate …

This book concerns the identification of systems in which only quantized output observations
are available, due to sensor limitations, signal quantization, or coding for communications …

Telecommunication systems and human-machine interfaces start employing multiple
microphones and loudspeakers in order to make conversations and interactions more …

System identification is investigated for plants that are equipped with only binary-valued
sensors. Optimal identification errors, time complexity, optimal input design, and impact of …

In some adaptive filtering applications, the least-mean-square (LBIS) algorithm may be too
computationally-and memory-intensive to implement. In this paper, we analyze two adaptive …

Complex industrial or robotic systems with uncertainty and disturbances are difficult to
control. As system uncertainty or performance requirements increase, it becomes necessary …

This paper studies identification of systems in which only quantized output observations are
available. An identification algorithm for system gains is introduced that employs empirical …

System identification of plants with binary-valued output observations is of importance in
understanding modeling capability and limitations for systems with limited sensor …

Examines a family of adaptive filter algorithms of the form W/sub k+ 1/= W/sub k/+/spl mu/f
(d/sub k/-W/sub k//sup t/X/sub k/) X/sub k/in which f (/spl middot/) is a memoryless odd …