kalman-2

基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下(In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However, the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees (LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations and reference points. We show that this technique can effectively accommodat)

说明：  分析了几种常用的模式识别方法，对几种方法进行比较分析，对初学者有帮助(Analysis of several commonly used pattern recognition method, a comparative analysis of several methods, help for beginners)

用matlab编写的，有限元三维梁单元的单元刚度矩阵计算程序，各节点6个自由度。(prepared by the three-dimensional finite element beam element of the element stiffness matrix calculation program, the 6-DOF nodes.)

方便观察并行运算采用parfor（并行循环）时的运算进程，一个简化版的进度条，比具有GUI的进度节省不少珍贵的电脑资源。本程序根据网上parfor_progress的源程序改编而，但显示到小数点后2为的精确进度情况，比网上的灵敏度更高。(It convenience for us to observe the operation process when we use Parallel Algorithmic parfor(paralle circulation)to compute,a simplify progress bar.But saving more precious computer resource for you than GUI PROGRESS BAR. And this program is rewrite by the source program of parfor_progress in the network, more precision than the web program, advanced dispaying two digits after the decimal point. This is his advantages.Thanks!)

说明：  模型阶次的辨识,各种模型参数辨识方法一般需要假定模型的结构已知，实际上在多数情况下这是不现实的。当没有模型结构的先验知识时，需要利用系统的输入输出数据来确定模型的结构。(Identification of various model parameters generally need to assume that the model structure is known, in fact, in most cases this is unrealistic. When no prior knowledge of model structure, the need to use the system input and output data to determine the model structure.)

Free Space Path Loss Model

史密斯原图的matlab实现，用户接口界面，显示输入波的原图形态(Smith achieve the maximum of Matlab, users Interface, show that the maximum wave form)

说明：  This code is related to the course Digital Communications. It makes a simple communication system which uses AWGN and QPSK

Hdb3码及其功率谱密度法 (Partial least squares)

高级信号处理工具包,做小波分析，时序处理(signal analyse)