felogit

在matlab环境下用Diriclet与Richardson算法解决偏微分方程的算法实现(In the matlab environment Diriclet and Richardson algorithm used to solve partial differential equations of the algorithm)

Estimates the power spectral densities (PSDs) using both the ICOMP method and Mallows CL for deciding the diagonal loading.

CONSX—这是一个主要子程序，调用其它于程序及输出中间结果 * !* CHECK—检查所有的点是否满足约束条件,对违背约束的点进行校正 * !* CENTR—计算中心点 * !* FUNC —目标函数，由用户提供 * ( PROGRAM COMPLEX PARAMETER(N=3,M=4,K=6) DIMENSION X(K,M),R(K,N),F(K),G(M),H(M),XC(N) INTEGER GAMMA OPEN(4,FILE= COMPDATA ) READ(4,*)ITMAX,IPRINT,ALPHA,BETA,GAMMA,DELTA READ(4,*)(X(1,J),J=1,N) IX=2097151 YFL=0. DO 100 II=2,K DO 100 JJ=1,N CALL RANDU(IX,YFL) R(II,JJ)=YFL 100 CONTINUE OPEN(2,FILE= COMPDAT.OUT ,STATUS= UNKNOWN ) WRITE(2,10) 10 FORMAT(//,10X, COMPLEX PROGRAM OF BOX ) WRITE(2,11)N,M,K,ITMAX,IPRINT,ALPHA,BETA,G )

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

最大相关熵准则自适应滤波，凸组合，两个滤波器(mcc filtering, convex combination, two filters)

混合动力汽车建模与仿真模型，详细建立了混合动力汽车里面的模型，可以参考一下!(Hybrid Vehicle Modeling and Simulation Model)

说明：  渥太华大学微波滤波器PM-IM实现负抽头(University of Ottawa microwave filter PM-IM to achieve a negative tap)

The M-files that are in the folders "Operations," "Extension Principle," and "Plotting" are all keyed into a specific chapter of the book Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions, by Jerry M. Mendel, and published by Prentice-Hall, 2000. There are also some miscellaneous M-files.

用matlab来实现数字信号处理的原程序(using Matlab to digital signal processing to achieve the original program)

BER for BPSK modulation in 3 tap ISI channel