cl_object

The main idea behind this book, and the incentive for writing it, is that strong connections exist between adaptive filtering and signal analysis, to the extent that it is not realistic—at least from an engineering point of view—to separate them. In order to understand adaptive filters well enough to design them properly and apply them successfully, a certain amount of knowledge of the analysis of the signals involved is indispensable. Conversely, several major analysis techniques become really efficient and useful in products only when they are designed and implemented in an adaptive fashion. This book is dedicated to the intricate relationships between these two areas. Moreover, this approach can lead to new ideas and new techniques in either field.

Mtalab的详细手册,开发流程,常用函数,常用实例(<<Matlab detailed manual>>)

matlab对随机振动状态分析,及功率谱的生成与分析等(matlab for random vibration analysis of state)

用music算法进行DOA估计的MATLAB程序(music matlab)

扩展卡尔曼滤波，适用于弱非线性高斯滤波.较为简单(Extended Kalman filter, suitable for weakly nonlinear Gaussian filter)

matlab编译的dll文件案例，文件内容为a+b=c(failed to translate)

Adopt the scatteringcosinealternationtocarryoutalternationontheimage(Adopt the scatteringcosinealternationt ocarryoutalternationontheimage)

说明：  采用MATLAB语言编写的森林火灾元胞自动机程序，使用过程中，可以根据具体的情况，进行相应参数的修改。(The program of forest fire cell automata written in MATLAB language can be modified according to the specific situation.)

AR模型参数估计，Kalman和Wiener滤波器设计(AR model parameter estimation, Kalman and Wiener filter design)

径向基神经网络,使用的算法梯度下降法,比较清晰,适合于初学神经网络的用户(RBF neural network, using gradient descent algorithm, more clarity, suitable for novice users of neural network)