fibonacci

说明：  本算法是一个自然梯度算法，用来解决盲源分离问题(This algorithm is a natural gradient algorithm to solve the problem of blind source separation)

Matlab编程学习资料，对初学者有帮助。。。(Matlab programming to learn information useful for beginners. . .)

MATLAB在自动控制系统中的仿真应用，电子书，内容很有价值，本站尚没有此书。(MATLAB in Simulation of automatic control system application, e-books, valuable content, this site has not this book.)

In this model we take sums of u Xv and iteratively optimize parameters of the sums. For paper(s) see pd.hacker.lt

分析了MATLAB/Simulink 中DSP Builder 模块库在FPGA 设计中优点， 然后结合FSK 信号的产生原理，给出了如何利用DSP Builder 模块库建立FSK 信号发生器模 型，以及对FSK 信号发生器模型进行算法级仿真和生成VHDL 语言的方法，并在modelsim 中对FSK 信号发生器进行RTL 级仿真，最后介绍了在FPGA 芯片中实现FSK 信号发生器的设 计方法。(Analysis of the MATLAB/Simulink in DSP Builder Blockset in the FPGA design advantages, and then combined with the emergence of the principle of FSK signal is given how to use DSP Builder Blockset establish FSK signal generator model, as well as the FSK signal generator model algorithm class VHDL simulation and generation language approach, and in ModelSim for FSK signal generator for RTL-level simulation, and finally introduce the FPGA chip realize FSK signal generator design method.)

说明：  DTMF frequency decode and encode, it contains everything and wave file

Learning_random.m : 随机选择样例，从（90）pool里随机选择样本，删除版本空间树的数量 activeLearning.m:根据最大熵原则,从pool里选择样本，删除版本空间树的数量 getlabel.m:根据树和测试样例，得到根据该树得到的类标 getTrees.m:从提供的大量树结构(随机生成的)中，随机挑选一定数量的树(如果该树的叶子节点无类标随机添加) RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树， RandomCreateTree_d_all.m:根据所有样本点的割点建造树 randomdata.m：给定属性取值，造数据 randomselect.m:从数据中随机选择一部分作为 showTree.m:显示树的结构 test.m:给出树，测试样例，得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)

Use weka in matlab, call all the classifier in weka

基于最小二乘算法的SGP4轨道预报精度分析程序。(Precision analysis of SGP4 model based on Least Squares method.)

Accepts two bounding vectors and produces an equally spaced matrix with unique fixed step row-wise