LDPC_

To combat high PAPR, one intuitive solution is to adopt amplifiers to have larger trade-off range. However, these types of amplifiers are generally expensive and have low efficiency-cost, and therefore are of no practical use. On the other side, certain algorithms were introduced and been proved have a good performance of high PAPR reduction. Hence, in this thesis, some currently promising PAPR reduction methods are studied and compared. The performance of these reduction schemes are evaluated by using simulation software, Matlab. NUMERICAL PERFORMANCE EVALUATION OFPAPR REDUCTION TECHNIQUES IN MIMO OFDM WIRELESS COMMUNICATION SYSTEMS. Nice thesis paper with source code and simulation.

matlab codes for global optimizers

Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。 load clouds [test_targets, E] = lijsada_boost(patterns, targets, patterns, 100, Stumps ,[]) train_patterns 每列为一样本 train_targets 每列为一样本目标 100 :Number Of Iterations Stumps: Weak Learner Type Learner s parameters :[] adaboost +stumps testRightR = 0.7522(Adaboost is an iterative algorithm)

this program describes the spatial domain technique for the watermarking and finds out different parameters

自己编写的基于多载频的高频雷达的波束形成matlab程序，包含三个文件：主程序、阵列导向矢量生成函数、添加高斯噪声信号函数。程序可顺利运行。(Multiple frequency carrier beamforming)

南极坐标转换，平面二维坐标系到极方位等角坐标投影(antactic coordnate system transform)

说明：  监督学习训练网络，可以运用到雷达信号处理中(Supervised learning training network can be used in radar signal processing)

学习线性分类器，可以自动识别两类数据点，数据点可以有交叉域，或者没有，共使用了三种方法。(Learning the self-learning process of linear classifier, and then design a linear two-class classifier and do some research based on the feature of linear classifier.)

kohonen一维一维排序,自组织映射网络SOM(kohonen SOM one dimension)

说明：  是一种关于无线传感器网络的质心定位程序的MATLAB原代码.希望对大家有帮助...(Is a wireless sensor network on the centroid position of the MATLAB program source code. I hope all of you help ...)