Multiscalemm

This function creates a figure with multiple Tabs.The number of tabs can be changed and they are distributed evenly across the top of the figure. Content is provided for the first 5 tabs to demo the program. The demo uses the screen size to adjust the size of the figure.

principal component analysis

This program is designed to find the parameters of the method of least squares, building eksperimetalnyh and theoretical curves for to assess the quality of approximation for propagation occurs trend of all their characteristics: propagation time, phase, amplitude and polarization. On the smooth running pa - ters inevitably superimposed random fluctuations. For devices they associated with the noise of radio circuits, to propagate in the Natural governmental environments, radio waves to the presence of turbulent fluctuations. Code is of interest mainly to radiophysicists(This program is designed to find the parameters of the method of least squares, building eksperimetalnyh and theoretical curves for to assess the quality of approximation for propagation occurs trend of all their characteristics: propagation time, phase, amplitude and polarization. On the smooth running pa- ters inevitably superimposed random fluctuations. For devices they associated with the noise of radio circuits, to propagate in the Natural governmental environments, radio waves to the presence of turbulent fluctuations. Code is of interest mainly to radiophysicists)

MATLAB中几种功率谱估计函数的比较分析与选择(Several MATLAB power spectrum estimation for comparison of analysis and selection)

采用MATLAB GUI 设计的加法器界面，输入两个数，实现两数相加的功能，适合于刚刚接触的同学。(Using MATLAB GUI interface design adder, enter two numbers, two numbers together to achieve the function, just contact for students.)

matlab 实现的函数云模型的内容，有参考价值。代码详细。(matlab function to achieve the content of the cloud model, a reference value. Code detail.)

无线传感器网络四种分簇算法的关于能量消耗，能量消耗均衡度，节点死亡的仿真比较，leach，leach-c，deec，deec-c(Wireless sensor network clustering algorithm on the four energy consumption, energy consumption equilibrium degree, comparing the simulation node death, leach, leach-c, deec, deec-c)

Bit error rate of MIMO using Zero forcing and MMSE Equalizer

说明：  历次进行修改过的JADE算法，可以看出盲源分离算法的演变过程，并通过对各算法的研究看出思路(all versions of the JADE algorithm.)

In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequal costs. This scenario occurs in many real-world applications. For example, in some disease diagnosis, the cost of erroneously diagnosing a patient as healthy is much higher than that of diagnosing a healthy person as a patient. Also, the acquisition of labeled data requires medical diagnosis which is expensive, while the collection of unlabeled data such as basic health information is much cheaper