LMS_Newton

程序目的 在kc处各放置一个高斯脉冲源hy 在(kc-1)处放置另一个高斯脉冲源(-hy)(Procedures aimed at kc Department placed a Gaussian pulse source hy in (kc-1) Department to place another source of Gaussian pulse (-hy))

add round matlab very important

说明：  关于脉冲压缩的问题 。脉冲压缩的质量直接 影响雷达的探测性能。经典的脉冲压缩是通过匹 配滤波器来实现的[1 ] 。从本质上讲 ,脉冲压缩是对 发射信号的匹配滤波 ,但由于不同的目标回波信 号带有不同的多普勒信息 ,具有不确定性 ,所以它 只能是准匹配滤波(Pulse compression on the issue. Direct impact on the quality of pulse compression radar detection performance. Classical matched filter pulse compression is achieved by [1]. In essence, the pulse compression is a matched filtering the transmitted signal, but the different echo signals with different Doppler information is uncertain, it can only be quasi-matched filter)

用于OFDM系统中降低papr的一种算法，改程序简单易懂(Reduce papr an algorithm for OFDM systems, change the procedure is simple and easy to understand)

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.)

sim mobile communication 4G using ofdm & mimo technology 2*2 and modulation 16-QAM simulink matlab

TPFA stands for two point flux approximation and will calculate pressure change in 5-spot injector/producer pattern.

Directory of useful Bayesian VAR Analysis material

说明：  均值滤波对高斯噪声的影响，均值滤波是经典滤波算法，用于图像处理领域，本代码用matlab开发。(Mean Gaussian noise filter, mean filter is a classical filtering algorithm for image processing, the code developed using matlab.)

LMF波形的模糊函数，用matlab编写。(LMF waveform ambiguity function, written with matlab.)