hiuqai_v58

For an AR(p) model that has been fitted with ARFIT, [Aerr,werr]=ARCONF(A,C,w,th) computes the margins of error Aerr and werr such that (A +/- Aerr) and (w +/- werr) are approximate 95 confidence intervals for the elements of the coefficient matrix A and for the components of the intercept vector w. The input arguments of ARCONF are output of AR.

bowen迟滞模型，用simulink搭建，绝对可用，请下载。(bowen model)

模拟拓展卡尔曼滤波的计算，雅各比矩阵的运算(Extended Kalman Filter)

ms05016分析及测试代码!!!!!!!!!!!!!!!!!!!!1(ms05016 analysis and testing the code !!!!!!!!!!!!!!!!!!!! 1)

这是一个不错的小论文,希望对你们有用,同时有利于我们交流.(this is a very good pdf paper,please you use.)

用matlab做的有限元编程的源代码，子例程丰富(Using matlab to do finite element programming source code, extensive subroutine)

说明：  OFDM自适应算法对比，将chow算法 hudges算法 fisher算法的各种信道条件统一化进行对比其优劣，可在其中修改初始条件以观察其在不同信道条件下的算法优劣(OFDM adaptive algorithm compared to chow fisher algorithm algorithm algorithm hudges various channel conditions to compare the pros and cons of harmonization, which modify the initial conditions in order to observe channel conditions in different advantages and disadvantages of the algorithms under)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

统计信号处理的一个Matlab工具箱，有参考价值(Statistical Signal Processing, a Matlab toolbox, have reference value)

基于GABOE原子库的稀疏分解算法在图相检测领域意义深渊，本程序是该算法的组程序，及优化设计正交双路后的精简算法程序(Gabor atomb)