m10_3

The program computes and plots the equation of time, the declination, and an analemma curve for various orbital parameters. The analemma is the curve traced by the position of the sun, measured at clock noon, over a year.

关于EMD HHT LMD EEMD 的论文，讲解详细(a paper contains EMD HHT LMD EEMD)

MATLAB仿真实现bpsk在不同信噪比下的传输误码率(MATLAB simulation bpsk under different signal to noise ratio of the transmission bit error rate)

用matlab实现的离散余弦编码，主要通过离散余弦编码的原理，用matlab实现的源代码。(Using matlab realize the discrete cosine coding, discrete cosine, mainly through the principle of encoding, using matlab realize the source code.)

algorithme FCM code matlab type .m

模糊自整定PID控制器设计，基于MATLAB仿真实例，附上代码。(Fuzzy pid control example, based on MATLAB,it changs its Kp,Ki,Kd automatically.)

New Bases for OFDM system subcariers and its destribution in wigner

一、实验要求 信号为两个正弦信号加高斯白噪声，各正弦信号的信噪比均为10dB，长度为N，信号频率分别为和，初始相位，取，取不同数值：0.3，0.25。为采样频率。分别用Levinson递推法和Burg法进行功率谱估计，并分析改变数据长度、模型阶数对谱估计结果的影响。(Power spectrum estimation)

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)

多星座导航系统GDOP递推特性的仿真程序,程序主要是争对在现有系统中增加2颗其他星座的可见星时GDOP的变化情况组合仿真(GDOP combination of changes in multi-constellation navigation system simulation GDOP recursive feature of the simulation program, the program mainly to fight for increased two existing constellation of visible stars in the existing system...)