phase_test_wave

Bit error rate for QAM in MatLab

对于matlab初学者很好的基本的经典的源代码学习例程(Good for beginners basic matlab classic study of the source code routines)

说明：  海量数据导入与导出matlab的有效方法，在数学建模时处理大量数据非常有用(Mass data import and export matlab effective method, in the mathematical modeling is very useful to deal with large amounts of data)

C-CMethod.m C-C法主函数，调用方式见函数体 correlation_integral.m 关联积分求解（被C-C法主函数调用） disjoint.m 将时间序列分为t个不相交的向量 heaviside.m 判断函数>0为1，<0为0 reconstitution.m 相空间重构函数 lorenz_phase.m 实验函数，用lorenz系统测试C-C法 lorenz_sim.mdl 用simulink建立的lorenz系统(C-CMethod.m CC method main function, see the body of the function invocation correlation_integral.m correlation integral solution (CC method is the primary function call) disjoint.m time series is divided into t disjoint vector heaviside.m determine the function> 0 1, < 0 0 reconstitution.m experimental phase space reconstruction function lorenz_phase.m function lorenz system test with CC method lorenz_sim.mdl established lorenz system with simulink)

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

用matlab中Simulink实现CORDIC算法的设计(use MATLAB （Simulink）to design the CORDIC algorithms)

说明：  人工免疫算法(Artificial immune algorithm)

lsb embedding for invisible image watermarking

粒子群算法自适应优化版matlab源程序(Adaptive particle swarm algorithm to optimize version of matlab source )

Evaluating Transfer Capability with Optimal Power Flow