ACF

Matlab的卷积码译码器的设计与仿真的课程设计报告。(Matlab code of convolutional decoder design of the curriculum design and simulation of the report.)

详细介绍了matlab插值与拟合方法，包括拉格朗日多项式插值、牛顿插值、分段线性插 值、Hermite 插值和三次样条插值和曲线的最小二乘拟合、多项式拟合方法、最小二乘优化所有程序均有相应的说明与应用实例(Details of the matlab interpolation and fitting methods, including Lagrange polynomial interpolation, Newton interpolation, piecewise linear interpolation Value, Hermite interpolation and cubic spline interpolation and least-squares curve fitting, polynomial fitting method, least squares optimization program has all the appropriate instructions and application examples)

关于qpsk的调制解调的MATLAB仿真源代码，另附有仿真图。(Qpsk the modem on the MATLAB simulation source code, attach a simulation map.)

Prueba1 FletcherReeves Hernández Santiago José Maestría en Ciencias de la Computación Septiembre / 2011 1. Comenzar con un punto arbitrario 2. Calcular Gradiente de Fi 3. Si el Gradiente Fi es igual a 0(converge), termina 4. Si el Gradiente Fi es !=0 continuar 5. Encontrar dirección de búsqueda Si= -GradienteFi= - Gradiente F(Xi) 6. Determinar la Longitud Optima del incremento lamda(i) en dirección Si X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi) 7. Hacer i=2 8. Obtener Gradiente Fi 9. Calcular Si= -GradFi + ( [abs(GradFi)^2]/[abs(GradF(i-1))^2] )*S(i-1) 10. Determinar la Longitud Optima del incremento lamda(i) en dirección Si X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi) 7. Verificar Optimalidad de X(i+1) Si es optimo, detener Si no es optimo hacer i=i+1 e ir al paso 8

稀疏约束的非负矩阵分解Non-negative Matrix Factorization with Sparseness Constraints(Non-negative Matrix Factorization with Sparseness Constraints)

北斗导航定位二代协议解析，包括格式及解析代码。(Compass II protocol analysis, including formatting and parsing code.)

可以产生PN码序列，可用于直扩通信等需要PN序列的地方。(Can generate PN code sequence, can be used for DSSS communications needs of the local PN sequence.)

adaptive control with matlab

利用matlab计算有限元计算，得到流场，划分网格为结构网格。(Take use of finite Element method to calculate the flow field, and get the result of the computation. Structure is used in this code.)

Fisher、H-K、Perceptron算法实现线性判别函数(Fisher, HK, Perceptron algorithm linear discriminant function)