twoweightniose2

利用随机序列进行间隔控制，选择消息隐藏位(Intervals using random sequence control, select the message hidden bits)

matlab读取MIT/BIH数据库心电数据的matlab程序(failed to translate)

psd for noise+clutter+jammer

研华的PCL733 PCL734程序库，直接调用控制板卡，很好用的啊(Advantech' s PCL733 PCL734 library, direct calls to control the board, very good use ah)

说明：  Leslie模型实例：基于Leslie矩阵的算法，同时将人口按10年一组分成m个年龄段，并根据一些影响人口数量和结构的重要因素（建立模型。再根据我国近十年的二孩出生率的实际情况并结合少数民族不受影响的因素，通过Matlab画出拟合曲线对2017-2030年我国每年人口总数做出预测。此后，根据近十年0-14岁、15-64 岁、65岁及以上三个年龄段的人数，计算出人口抚养比，用Matlab预测至2030年的人口结构。为了使预测更加精确，我们还将夫妇的生育意愿考虑到模型当中。(Based on the Leslie matrix algorithm, the population is divided into m age groups according to a group of 10 years, and according to some important factors that affect population size and structure Modeling. Then according to the actual situation of the birth rate of second-born children in China in the past ten years and combining the factors that are not affected by ethnic minorities, drawing a fitting curve through Matlab will make a prediction for the total population of China in 2017-2030. After that, based on the number of people aged 0-14, 15-64, and 65 years of age in the last ten years, calculate the dependency ratio of the population and use Matlab to predict the population structure by 2030. In order to make the prediction more accurate, we also consider the couple's fertility intention in the model.)

BCJR译码算法的matlab源代码，附有详细注释，适合学习map算法实现。(BCJR decoding algorithm matlab source code, detailed notes, suitable for studying the map algorithm. )

hrrp，svm，利用支持向量机分类识别一维距离像的飞机目标，程序详细，可作为例程学习，望有帮助(HRRP, SVM, using support vector machine (SVM) classification recognition as a d distance of aircraft target, procedures detailed, can be used as an example ChengXueXi, hope have help )

说明：  深度学习的NN神经网络，加了改进的梯度，自己可以下载数据测试，如有不懂请联系本人(Depth study of the neural network NN, plus improved gradient, you can download the data to test, if I do not understand, please contact)

singlepoint method 开发语言：matlab 功能：采用单点交叉法实现遗传算法的交叉操作(singlepoint method development language: matlab function: single-point crossover method to achieve genetic algorithm crossover)

An effective implicit time integration scheme was proposed for the fi nite element solution of nonlinear problems in structural dynamics. Various important attributes were demonstrated. In particular, it was shown that the scheme remains stable, without the use of adjustable parameters, when the commonly used trapezoidal rule results in unstable solutions. In this paper we focus on additional important attributes of the scheme, and specifi cally on showing that the procedure can also be effective in linear analyses. We give, in comparison to other methods, the spectral radius, period elongation, and amplitude decay of the scheme and study the solution of a simple ‘model problem’ with a very fl exible and stiff response.