A Trust-Based Adaptive Probability Marking and Storage Traceback Scheme for WSNs

In order to improve the tracking and stabilization performance of three-axis gyro stabilized platform, an adaptive decoupling control based on neural networks is developed. The dynamic model of three-axis GSP is developed based on traditional Newton–Euler method. The nonlinearity and coupling system is full-state-linearized using feedback linearization, and neural networks are used to compensate for the disturbances and uncertainties. The stability of the proposed scheme is analyzed by the

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E.J. Kelly，Technical report 1989 多维信号模型的自适应检测和参数估计 广义似然比检测 CFAR

Machine rule induction was examined on a difficult categorization problem by applying a Hollandstyle classifier system to a complex letter recognition task. A set of 20,000 unique letter images was generated by randomly distorting pixel images of the 26 uppercase letters from 20 different commercial fonts. The parent fonts represented a full range of character types including script, italic, serif, and Gothic. The features of each of the 20,000 characters were summarized in terms of 16 primitive numerical attributes. Our research focused on machine induction techniques for generating IF-THEN classifiers in which the IF part was a list of values for each of the 16 attributes and the THEN part was the correct category, i.e., one of the 26 letters of the alphabet. We examined the effects of different procedures for encoding attributes, deriving new rules, and apportioning credit among the rules. Binary and Gray-code attribute encodings that required exact matches for rule activation were compared with integer representations that employed fuzzy matching for rule activation. Random and genetic methods for rule creation were compared with instance-based generalization. The strength/specificity method for credit apportionment was compared with a procedure we call "accuracy/utility."

This solutions manual provides solutions to the problems contained in the first edition of our book STATISTICAL AND ADAPTIVE SIGNAL PROCESSING. The solutions have been prepared and written by David Marden and ourselves. We have attempted to provide very detailed solutions to the problems with notation consistent with that used in the book. Where applicable, we have also given a printout of Matlab code and figures for the problem solution.

控制理论和最优滤波器设计的经典教材，有很强的专业性，适合控制理论和信号处理方面的进阶。

adaptive filter theory 4th英文原版扫描，ocr处理可搜索，带书签

介绍QRD-RLS 自适应滤波 的经典书籍