搜索资源列表
activity-recognition--based-on-hmm
- 一种HMM可以呈现为最简单的动态贝叶斯网络。隐马尔可夫模型背后的数学是由LEBaum和他的同事开发的。它与早期由RuslanL.Stratonovich提出的最优非线性滤波问题息息相关，他是第一个提出前后过程这个概念的。 在简单的马尔可夫模型（如马尔可夫链），所述状态是直接可见的观察者，因此状态转移概率是唯一的参数。在隐马尔可夫模型中，状态是不直接可见的，但输出依赖于该状态下，是可见的。每个状态通过可能的输出记号有了可能的概率分布。因此，通过一个HMM产生标记序列提供了有关状态的一些序
nonlinear_filter
- 非线性滤波。包括中值滤波，最大值滤波，最小值滤波和均值滤波。其中均值滤波的模板尺寸可调。-Nonlinear filtering. Include median filtering, the maximum filter, minimum filter and mean filter. The template size of mean filter is adjustable.
Research-and-Simulation--
- 深空探测器自主导航的非线性滤波算法研究与仿真Research and Simulation of nonlinear filtering algorithm for autonomous navigation of deep space probe-Research and Simulation of nonlinear filtering algorithm for autonomous navigation of deep space probe
aec-master
- webrtc 的回声抵消(aec、aecm)算法主要包括以下几个重要模块：1.回声时延估计 2.NLMS(归一化最小均方自适应算法) 3.NLP（非线性滤波） 4.CNG(舒适噪声产生），一般经典aec算法还应包括双端检测(DT)。考虑到webrtc使用的NLMS、NLP和CNG都属于经典算法范畴，故只做简略介绍，本文重点介绍webrtc的回声时延估计算法,这也是webrtc回声抵消算法区别一般算法(如视频会议中的算法)比较有特色的地方。-webrtc echo canceller (aec,
Median-filter-method
- 中值平均滤波法，中值滤波是一种非线性滤波，一般用来处理图像的椒盐噪声。当用来保持边缘同时滤波的要求下，中值滤波要比卷积滤波更加有效。-Median filter is a nonlinear filtering, usually used for salt and pepper noise image processing. When the filter is used to keep the edge of the filter, the median filter is more effe
nef-1.4.0
- 非线性滤波框架（nef）,包括了 EKF,UKF,DDF1 DDF2,CDF,迭代滤波器,随机积分滤波器, 组合滤波器, 集合卡尔曼滤波, 高斯和滤波，粒子滤波，自回归最小二乘方法-nonlinear estimation framework (NEF) toolbox A. Implemeted local estimation techniques： a1. (extended) Kalman filter a2. Unscented Kalman filter a3.
nftools-v2.0
- 非线性滤波工具箱(nft) 包括： 1. Kalman filter 2. Extended Kalman filter 3. Iterated Kalman filter 4. Second order filter 5. Unscented Kalman filter 6. Divided difference filters 7. Central Difference Filter 8. Gaussian sum method 9. Point
processInputs
- processInputs.m, 源码，被调用的函数，可实现嵌套调用，非线性滤波-processInputs.m, source code, the function is called, can be realized nested calls, nonlinear filtering
ukf
- 本程序为扩展卡尔曼滤波,可对非线性情况进行处理(this program is Unscented kalman filter)
EKF1.RAR
- 标量非线性系统Kalmlan滤波问题,给定状态方程和预测方程，用EKF算法进行估计最优状态位置(EKF is a way to solve the problem which it is used in Innovation.)
INS_ukf
- IMU的惯性导航算法实现机制，通过引入非线性卡尔曼滤波算法提高定位的精度。(Implementation of inertial navigation algorithm based on IMU.The nonlinear Calman filtering algorithm is introduced to improve the positioning accuracy.)
EKF_for_one_Div_UnLine_System
- MATLAB实现扩展卡尔曼滤波,以最精简的语言，以及说明kalman的实现，快捷有效。(realize the kalman in a rapid way . explain it clearly.)
卡曼滤波代码
- 卡曼滤波，用于线性和非线性系统分析，体现在时间序列的预测上。(kalman filter code,it can be use in linear or no-linear system)
EKF-SLAM
- 非线性滤波应用，扩展卡尔曼滤波，同时定位与建图(Nonlinear filtering applications, extended Calman filtering, simultaneous localization and mapping)
DOVLMP
- 一种分阶自适应Volterra滤波算法代码，对研究非线性自适应滤波器的同学非常有帮助(A hierarchical adaptive Volterra filter algorithm code, the study of nonlinear adaptive filter students very helpful)
VLMP
- 二阶Volterra变记忆长度LMP算法_对学习非线性滤波算法非常有帮助(The two order Volterra variable memory length LMP algorithm _ is very helpful for the study of nonlinear filtering algorithm)
YunjiasuUKF
- 描述一个匀加速的非线性系统，采用无迹卡尔曼滤波来进行数据处理。(A uniformly accelerated nonlinear system is described, and the unscented Calman filter is used to process the data.)
作业4
- 理解图像空间滤波的实现步骤，掌握平滑、锐化两类空间滤波的区别，了解线性与非线性滤波差别(Understand the realization steps of image spatial filtering, grasp the difference between smoothing and sharpening two types of spatial filtering, and understand the difference between linear and non-linear
ukf-2
- UKF算法代码，可以实现高效的非线性滤波，算法效果与二阶非线性算法的功能相当，欢迎下载，亲测无误。(UKF algorithm code, can achieve efficient nonlinear filtering, the effect of the algorithm is equivalent to the function of the two order nonlinear algorithm, welcome to download, pro - error.)
Pf1
- 粒子卡尔曼滤波程序，可以实现高效非线性滤波算法，赶快下载吧。(Particle Calman filter program, can achieve efficient nonlinear filtering algorithm, quickly download it.)