rls

qpsk调制在瑞利信道中的性能仿真，以及各个阶段信号的星座图仿真(qpsk modulation performance in Rayleigh channel simulation, as well as the various stages of signal constellation simulation)

Image treatment file:image filters and beginners commands

BPSK code of matlab.

主要是摩擦学方面的东西，进行分析时需要的(failed to translate)

matlab线性拟合及指数拟合的源程序，并不是利用plotfit函数。(matlab linear fit and exponential fit of the source, not using plotfit function.)

Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

基于simulink的apf matlab程序，希望对大家有所帮助。(the apf Matlab program based on Simulink, hope to be useful for you!)

在matlab环境下编写的简易计算器，能够进行四则运算和正弦余弦，x的y次方运算，对数运算等相关运算(In the matlab environment prepare a simple calculator that can perform arithmetic calculations and sine cosine, x of y th arithmetic, logarithmic arithmetic operations and other relevant)

matlab work of matrix converter.......................

说明：  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.)