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lvbo
- 新型联邦最小二乘滤波算法及应用
matlab simulation 卡尔曼滤波算法
- 卡尔曼滤波算法的仿真、最小二乘参数估计、整个电池管理系统的simulink仿真-Kalman filter algorithm simulation, least-squares parameter estimation, the whole of the battery management system simulink simulation
Wiener-filter-
- 逆滤波与维纳滤波和约束最小二乘滤波复原,有助于初学者-Inverse filter and Wiener filter and constrained least squares filtering for restoration to help beginners
yunsuyuanzhou
- 目标作匀速圆周运动，包括kalman和最小二乘滤波，亲自调试通过的，可出x，y，误差-Target for uniform circular motion, including the least squares filtering kalman and personally through debugging, and can be the x, y, error
adapt_lms
- 利用matlab编写的自适应最小二乘滤波程序-Matlab prepared using least squares adaptive filtering procedure
RLS
- 递归最小二乘滤波器算法，包含对于单频正弦信号和实际语音信号的处理结果-Recursive least squares filter algorithm, that contains the single-frequency sinusoidal signal and the actual voice signal processing results
RegrToolbox
- 基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。-Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modelin
LSL
- LSL最小二乘方格型算法的自适应滤波程序及其应用-LSL least-squares grid-based algorithm for adaptive filtering procedures and its application
LS
- 本程序给出了最小二乘滤波算法的具体编程，程序中分析比较了自相关算法、协方差算法、前后向加窗算法的滤波效果-This procedure gives the least squares filtering algorithm specific programming, program analysis and comparison of the auto-correlation algorithm, covariance method, before and after windowing alg
shexingjidong
- 目标作蛇形机动matlab仿真，包括卡尔曼和最小二乘滤波，可出x，y方向误差，-Matlab simulation target for maneuver, including the Kalman and least square filtering, the x, y direction of error,
LMS_noise
- 自适应抵消法程序，最小二乘法（LMS）自适应滤波器，噪声抵消-Adaptive canceling procedures, least square method (LMS) adaptive filter, noise cancellation
image_deconvreg
- 对图像进行约束最小二乘滤波复原，并调用edgetaper函数,减弱噪声放大效应和振铃现象-image restoration deconvreg
book
- 这是一本研究目标定位跟踪的学习手册（在雷达，声纳，无线传感器网络领域等），采用的方法有最小二乘/极大似然，卡尔曼滤波，蒙特卡洛，粒子滤波等方法，更是很多读者需要的是里面有大量的仿真实例和程序代码，并配以中文注释，读者可以结合书中的原理和公式，对程序有进一步的理解。也适合很多读者在已有的代码的基础上对算法进行改进。-This is a study targeting the learning manual tracking (radar, sonar, wireless sensor networ
zishiyinglvbo
- 摘要:分析了最小均方误差滤波和递归最小二乘滤波算法、自适应滤波的神经网络方法、 基于QR分解的方法、统一模型下的自适应滤波及基于高阶累积量的自适应算法的优缺点，并对自适应滤波算法的未来发展做了展望。 -the author analyzes the minimum mean square error filter and recursive least square filter algorithm, an adaptive filter neural network method,
InitialAlignment
- 采用最小二乘估计和Kalman滤波估计方法，提出、设计实现了一个有效实用的FOG 捷联式惯导系统（SINS）初始对准方法。-the least twin multiplication estimatin The Kalman filter estimation are adopted, and a FOG SINS’s initial alignment method is put foreword and designed.
图像复原
- 运动模糊图像的逆滤波复原、维纳滤波复原和约束最小二乘滤波复原
M_rls
- 该程序是一种最小二乘滤波算法的matlab实现程序，主要应用于非平稳信号的干扰抑制中-The program is a least squares filtering algorithm matlab implementation program, mainly used in non-stationary signal interference suppression in
最小二乘拟合，kf
- 包括两个简单卡尔曼滤波例子和一个最小二乘法例程(Filtering and least squares)
LRSs
- 递归最小二乘(RLS)是一种自适应滤波算法，它可以递归地找到最小化加权线性最小二乘代价函数与输入信号相关的系数。这种方法与其他算法相比较，例如最小均方(LMS)，旨在减少均方误差。在RLS的推导中，输入信号被认为是确定性的，而对于LMS和类似的算法，它们被认为是随机的。(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimiz
目标定位
- 研究目标跟踪的状态估计方法，最小二乘估计，Kalman滤波，扩展Kalman滤波，无迹Kalman滤波以及粒子滤波等，理论及MATLAB源程序。(The state estimation methods of target tracking, least square estimation, Kalman filtering, extended Kalman filtering, unscented Kalman filtering and particle filtering, theory