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论文 Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty 的算法源代码，是sparse+l1+lq,1的稀疏属性选择算法。( Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty Problem min 1/2 || A x- y||^2+ lambda_1* |x|_1+ lambda_2*|x|_{q,1} q=2, infty)

小世界网络模型的m.文件 可生成网络矩阵或者邻接矩阵(M. small-world network model file to generate the network matrix or adjacency matrix)

等间距线性阵列，阵元间距d= λ /2，等幅加权，目标方位φr = 0°，无噪声。 分别仿真计算阵元数M=8 、16时的阵列方向图，定性分析产生的原因。（可通过3dB波束宽度计算公式说明） (Equally spaced linear array, the array element spacing d = λ/2, equal amplitude weighted target azimuth φr = 0, no noise. , Respectively, the number of array elements M = 8 and 16 when the array pattern, qualitative analysis to produce simulation. (Available by 3dB beamwidth formula noted))

LM滤波器组程序，用于图像纹理提取和处理，共有48个滤波器组成，在图像处理中应用(LM filter banks in matlab )

1D heat transefer function [A,b,r] = fullyDev1dr(m,rout,mu,dpdx) fullyDev1dr CVFD coefficients for 1D fully developed flow in a pipe Synopsis: [A,b] = fullyDev1dr [A,b] = fullyDev1dr(m) [A,b] = fullyDev1dr(m,rout) [A,b] = fullyDev1dr(m,rout,mu) [A,b] = fullyDev1dr(m,rout,mu,dpdx)

FBP投影算法 用来实现CT图像的复原 调试通过 希望对初学者有用(FBP algorithm for the reconstruction of CT image)

使用matlab识别船行的轨迹和运行效果。(Use matlab find shipping way。)

利用MATLAB解數值積分 利用MATLAB解數值積分 (Numerical integration of solutions using MATLAB numerical integration solution using MATLAB)

说明：  用于遗传算法的工具包，可自行修改适应度函数后使用。(The toolkit for genetic algorithm can be used after self-modifying the fitness function.)

Filtro de Kalman, detection and estimation theory