Neural-network

UNIT STEP,RAMP,SINE,SINC

matlab宝典，编程使用，可以有效提高程度得效率(matlab，improve the code )

10重交叉检验函数，很好用，可以直接 调用。对做模式识别分类很有用。(10-CrossValidation is very good for pattern cognization)

eof程序关于气候场或者降水场的分区。程序代码在matlab中运行。有图(of eof procedures partition on climate field or precipitation fields. Program code to run in matlab. FIG.)

analyze data association algorithms (Nearest Neighbour and JCBB) in SLAM. Data association is basically a combinatorial optimization problem whose goal is to find the “best” set of associations between the observations and predictions according to a particular criterion (e.g. individual compatibility). Form this point of view, near- est neighbour (NN, a.k.a. ML) is simply a “greedy” algorithm in which the “compatibility” of individual associations with each other is not examined. On the contrary, JCBB, by considering both the individual and joint compatibility, is able to yield much better results. JCBB uses the branch and bound technique in order to prune the search tree

用SCA算法实现时间同步和载波频率偏移。载波频率偏移通过训练序列实现(SCA algorithm with time synchronization and carrier frequency offset. Carrier frequency offset achieved by training sequence)

无刷电机的控制过程,在matlab/simulink中的仿真，经验证，代码可行。(Brushless motor control process simulation matlab/simulink proven, workable code.)

计算赫斯特指数Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.(Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.)

H infinity controller optimization:filetype .m

very useful source code for telecommunication