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这是关于高斯过程国外人写的经典程序，可用于预测、分类等。(This is a Gaussian process abroad written about the classic procedure, can be used for prediction and classification.)

遗传算法两道典型例题和解法，matlab源程序(The genetic algorithms two typical examples Reconciliation, matlab source)

由于传感器自身以及通信延迟等原因, 使得异步多传感器数据融合问题比同步问题的研究更 切合实际。 对连续时间系统在融合中心和各传感器节点分别进行异步离散化处理,离散后过程噪声与测 量噪声以及测量噪声之间相关,虽然相应连续时间系统中的噪声是不相关的。 最后推导了相关噪声情况 下的异步融合算法,仿真结果说明了算法的有效性。(Due to t he r easons of senso rs in it self and the communication delays, the r esearch of t he asy nchr onous multisensor da ta fusion pr oblem is mo re pr actical than t hat o f synchro no us one. Firstly t he continuo us-time system is discr etig ed in the fusio n center and all t he senso r nodes w it h differ ent sample interv al. T hen the measurement no ises are fo und to be co r related with each other and t he pr o- cess noise tho ugh the no ises of t he co rr espo nding continuo us-time sy st em ar e unco rr elat ed. Finally an asy nchr onous fusion algo r ithm is pr esented for the cor r elat ed noises case. Simulatio n results show t he v alidity o f the presented a lg or ithm)

this is a code for ECG signal analysis i wish you modify before using

一篇经典的英文文献，关于非线性压扩对系统误码率影响的推导(A classic English literature, derivation of nonlinear companding on system bit error rate influence )

基于KL变换的目标识别技术，个人认为效果比神经网络要好(KL transform based target identification technology, think better results than the neural network)

讲述浅海水声信道下的多途时延估计方法，供声学方向的学生学习参考(About the shallow water acoustic channel under the multi-path delay estimation method for the acoustic direction of student learning reference)

WRK实验所需要软件的参考说明（Windbg）(inactivated laboratory reference to the need for software (Windbg))

极大似然参数估计，对于已知输入输出数据的情况下，对系统的参数进行估计。(Maximum Likelihood Parameter estimation, for the case of known input and output data to estimate the parameters of the system.)

一种建立基于蚁群算法的路径规划空间模型的算法，使用与链接法，不适用于栅格法。(An algorithm based on the establishment, use and links to law ant colony algorithm path planning space model, does not apply to the grid method.)