Track-Association-with-PDA

说明：  自适应滤波器。自适应滤波器为11个权系数的FIR结构。（1）不同的方差σ2（2）LMS算法画出一次实验的误差平方收敛曲线，训练长度为500，给出滤波器系数；进行20次独立实验，给出平均收敛曲线。不同步长值的比较。（3）RLS算法，LMS和RLS算法的比较 (Adaptive filter. Adaptive filter weights for 11 of the FIR structure. (1) different variance σ2 (2) LMS algorithm for an experiment to draw square error convergence curve, the training length is 500, given filter coefficient conduct 20 independent experiments, given the average convergence curve. Are not synchronized long value comparison. (3) RLS algorithm, LMS and RLS Algorithms)

说明：  本文应用软件无线电思想对全数字接收机中的几个关键技术进行了研究，对其中的基本结构及基本模块进行了建模仿真。 (In this paper, thinking of all-digital software radio receiver in several key technologies were studied, of which the basic structure and the basic module of modeling and simulation.)

简单的信道编码程序 采用的是汉明编码 程序附带说明(Simple channel coding procedure is used with Hamming Code program description)

通过输入x和输出y来估计系统的传递函数模型(Through the input x and output y to estimate the system transfer function model)

基于 matlab 用主元分析对半导体数据进行处理，进行相似度的匹配(Matlab using principal component analysis based on semiconductor data processing, the similarity matching)

Root-MUSIC算法MATLAB程序，分布式信源信号处理(Root-MUSIC algorithm MATLAB program- Distributed Source Signal Processing)

这是一个对信号进行小波包特征量提取的程序源代码，对初学者有帮助(This is a signal wavelet packet feature amount extraction program source code, for beginners help)

可调增益基于MIT规则的模型参考自适应算法归一化算法(Adjustable gain MIT rule-based model reference adaptive algorithm normalization algorithm)

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

Heart Sound Localisation & Hidden morkov model estimation