acoustic_fir_floor

based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the minimum representation error. While the importance of sparsity is much emphasized in SRC and many related works, the use of collaborative representation (CR) in SRC is ignored by most literature.

很好的东西，关于用卡尔曼算法做对消算法的...(Good things Kalman algorithm cancellation algorithm ...)

流形学习程序，Isomap，LLE，LTSA，etc，非线性数据降维(manifold learning, Isomap, LLE, LTSA, etc, nonlinear data dimensionality reduction)

abaqus蠕变子程序,user中的实例(creep subroutine for abaqus user)

线性方程组的计算，采用的是高斯消元法来实现的。只有主要的算法代码，没有写主函数(Calculation of linear equations using the Gauss elimination method to achieve. Only the main algorithm code, did not write the main function)

分别用梯形法和矩形法求定积分，附加应用实例(, Respectively, with the trapezoidal method and the rectangle method to find definite integrals, additional application examples)

there is an other java project in eclipse explaine how to code a simple calculator with a motor class

稀疏矩阵算法及其程序实现(杨绍祺+谈根林)，有解决稀疏矩阵需要的朋友可以好好认真的看一下(Sparse matrix algorithm and program implementation (Yang Shaoqi+ Tan root forest), solve sparse matrix can be a good friend in need a serious look at)

最小二乘估计法在直流电机参数估计中的一个应用，在只已知输入输出数据的情况下，就可以获得电机的内部参数。(DC motor parameter estimation least squares estimation method, in the case of known input and output data only, you can get the internal parameters of the motor.)

DCD差分格式求解激波在刚性楔面上反射问题(DCD difference scheme for solving the shock wave in a rigid wedge surface reflection)