MATLAB-function

西安交大matlab教程[pdf],很好经典一本MATLAB教程(Xi)

现代信号处理这本书中的MATLAB代码。现代信号处理这本书可谓同类图书中的经典，包含了小波，自适应算法等程序。(Modern signal processing MATLAB code in this book. Modern signal processing This book can be described as similar books in the classic, including the wavelet, adaptive algorithms and other procedures.)

基于MATLAB的BP神经网络设计的源代码(jiyuMATLABdeBP shenjingwangluoyuanchengxu)

linear optimal solution

由于实际信道中的多径和阴影效应，单个认知用户频谱感知的性能受到影响，因此需要靠不同用户间的协同频谱感知来对抗多径和阴影效应。本设计要求在文中采用一种协作机制，即两用户进行协作频谱感知，提高主用户的检测率，减少检测时间，并且得到捷变增益。要求给出仿真结果。(As the actual channel of the multi-path and shadow effect, a single user of spectrum sensing of cognitive performance are affected, it needs to depend on collaboration between different users of spectrum sensing to combat multipath and shadow effects. The design requirements in the text using a cooperation mechanism, namely, two user collaborative spectrum sensing, to improve the detection rate of the primary users, reducing detection time, and get agility gain. Required to give simulation results.)

在matlab实现leach协议，及对其的一些节能改进(leach in matlab)

calssification algorithm2

一本经典的书籍，关于matlab和语音处理的(A classic book on matlab and speech processing)

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)

讲解了 MATLAB语言环境下 图像压缩和图像融合方面的基本方法和基于小波变换的图像分解与重构。(Explained the MATLAB language environment, image compression and image integration of the basic methods and wavelet-based image decomposition and reconstruction.)