Convolutional--algorithms

压缩感知里面的稀疏重建问题，在原来MP的算法的基础上，提出了分块的思想，即将原子库分块后，测试算法的性能。(Compressive sensing is refered as the block sparse algorithm is described,that is based on the original MP algorithm,and the atom libruary is divided into blocks ,and the performance is testified.)

AES matlab source code

牛拉法潮流程序，牛拉法潮流程序，牛拉法潮流程序，牛拉法潮流程序，牛拉法潮流程序，牛拉法潮流程序，牛拉法潮流程序，牛拉法潮流程序，(The trend of programs Lafayette cattle, cattle Rafah trend procedure, the trend of programs Lafayette cattle, cattle Rafah trend procedure, the trend of programs Lafayette cattle, cattle Rafah trend procedure, the trend of programs Lafayette cattle, cattle Rafah trend procedure,)

粒子群算法实现数字滤波器的设计优化 很好的m程序(Particle swarm algorithm for digital filter design optimization procedures of good m)

说明：  常规AM调制：画出调制前波形图和频谱图 求已调信号功率、噪声功率等(Conventional AM modulation: Draw modulation waveform and spectrum before seeking modulated signal power, noise power, etc.)

说明：  一份经过精心设计的海报模板，大家可以相互交流一下的呢(A poster template is designed, we can look at the then exchange)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

In this study we propose a gateway based energy-effi cient routing protocol (M-GEAR) for Wireless Sensor Networks (WSNs) with the our designed matlab source code

电动机的矢量仿真模型。这是基于矢量控制的simulink仿真模型。(Motor vector simulation model. This is based on vector control simulink simulation model.)

基于浮点数编码的多目标遗传算法，运行环境为matlab.(Multi-objective genetic algorithm based on floating-point encoding，Operating environment for matlab.)