qpskmod

利用RANSAC算法鲁棒性的计算两幅视图间的基本矩阵，本代码含有7点算法，8点算法(RANSAC algorithm using the calculation of robust fundamental matrix between two views, this code contains the algorithm 7, 8-point algorithm)

本文针对SLAM数据关联中使用最为广泛的最近邻方法作了改进，利用特征估计位置与载体预测位置之间的欧氏距离计算代替了全部特征与每个量测之间的马氏距离计算，避免了大量的矩阵乘法计算。该算法简单易行，降低了算法的计算复杂度，有利于SLAM算法的实时执行，且关联效果与全局最近邻法相同(In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using the characteristics of the estimated location and the location of vector prediction Euclidean distance between the calculation instead of all the characteristics of each measurement between the Mahalanobis distance calculation, to avoid a large number of matrix multiplication calculation. The algorithm is simple, the algorithm to reduce computational complexity and is conducive to the implementation of real-time SLAM algorithm, and the effects associated with the same overall nearest neighbor method)

关于日本显示芯片mb90092 例程 (mb90092 demo)

一个完整的无线通信系统物理层的传输方案，多径信道matlab编码。(A complete physical layer of wireless communication system transmission scheme, encoding matlab multipath channel.)

matlab可视化宝典书配套源代码,全部都在里面呢。(Matlab code)

在重构相空间的基础上计算吸引子的分形维时,合适的嵌入维m和时间滞后τ的选取至关重要.在虚假邻域概念基础上,本文给出了确定m和τ的方法.较之以前的方法,此方法更准确、简单、容易理解、易实施,对较小样本数据集也可靠.最后的应用实例验证了理论的正确性.(In the reconstructed phase space based on the calculation of the fractal dimension of attractor, the appropriate embedding dimension m and time lag τ selection is essential. In a mock neighborhood based on the concept, this paper presents the method to determine m and τ. Compared with the previous methods, this method is more accurate, simple, easy to understand, easy to implement on a smaller set of sample data is also reliable. The last application example to verify the theoretical correctness.)

Morphological image processing applications

此程序为机动目标的非线性滤波器的设计，具有一定的实用价值(This program design of nonlinear filters for maneuvering targets, has some practical value)

We see from the graphs , that as the number of samples increased, the estimation gets better. As now for increased number of samples , variance of estimators are reduced. So, we get better estimation.

本文件是基于MATLAB的声音信号频谱分析仪的源代码(This document is based on MATLAB)