2013102244433157

半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)

已实现了MATLAB下的音频AGC，效果还可以，做起来才发觉比较简单，关键是要有高效的算法。如果能在实现AGC的同时做到噪音消除和回音消除，则效果更佳。(MATLAB has been achieved under the audio AGC, the effect can be done only to find relatively simple, the key is to have efficient algorithms. If you can do while in the realization of the AGC noise cancellation and echo cancellation, the better.)

全套ekfslm程序，无需修改程序，就可无差错运行，经典，简洁，准确，经典教程(A full set of ekfslm program without having to modify the program can be error-free run, classic, indirect, accurate, classic tutorial)

建立单频矩形脉冲信号,时间反转镜仿真,计算信号时反过后的能量增益(Establishment of single-frequency rectangular pulse signal, the time reversal mirror simulation, after calculating signal energy gain against)

this is about the matlab coding of any servo motor. the code shows how to calculate transfer function and use siso(single input single output) tool.

数字调制信号的产生与识别。产生数字调制信号，并汇出图像，比较直观。 通过分析解调的幅度、频率、相位来判断该信号的调制类型。(Generation and identification of digital modulation signals. Generates a digital modulation signal, and export the image, intuitive. To determine the modulation type of the signal through the analysis of the amplitude, frequency and phase demodulation.)

DNN程序，可以利用MATLAB实现深度神经网络。包含子程序(DNN program, you can use MATLAB to achieve a deep neural network. Include subroutine)

说明：  一个线性规划的例子，里边有源数据在里边，比较基础的(A linear programming example, inside the active data in the inside basis of comparison of)

高等应用数学问题的matlab求解，第三章的所有例题(advanced matlab charpe three)

PLS回归，以刀具磨损为例，包括程序和数据文件，打包，需要者可以下载看看，用来参考。(PLSregress to tool wear, for example, including procedures and data files, packaging, who can download to see, for reference.)