ART_1

matlabGUI 页面设计示例，很好的对于以后的设计给出指导，方便设计使用(APPLYING FOT THE MATLABA GUI)

能对压缩感知中的稀疏度未知的信号精确的重建，重建误差小，经本人调试，完全正确(Capable of compressed sensing signals unknown sparsity accurate reconstruction, reconstruction error is small, after I debug, completely correct)

为卷积神经网络的优化代码，广泛适用于图像处理。(Convolution neural network optimized code, widely used in image processing.)

selective encryption using Matlab

说明：  BP神经网络实现数据分类，实现语音特征信号的分类(BP network realize voice feature classification )

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

使用差分进化算法计算一个简单的求最小值的问题，方便学习和理解差分进化算法的思想(Using differential evolution algorithm to solve a simple minimum problem, it is easy to learn and understand the idea of differential evolution algorithm)

这个方法有两个好处。 （ a ）虽然只是一个半径差逼近，很容易找到最高在一个小蓄电池，因为通过降低 隐平滑做的蓄电池。（ b ）在同一时间处理时间搜索减少 (Pattern Recognition and Image Procesing Group. The size of the accumulator is varied as hierarchical voting is performed. This has two advantages. [a] While the radius is only a poor approximation, it is easier to find the maximum in a small accumulator and because by means of the downsampling implicit smoothing is done to the accumulator. [b] At the same time processing time for the search is reduced.)

this function is based on evolutionary algorithm for finding the optimal solution for multiple objective i.e. pareto front for the objectives.

卡尔曼平滑，包括固定区间平滑，固定点平滑和之后平滑(Kalman smoothing, including fixed-interval smoother, fixed-point smoothing and after smoothing)