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人工智能/神经网络 ReBEL is a Matlabtoolkit of functions and scripts, designed to facilitate sequential Bayesian infer
ReBEL is a Matlabtoolkit of functions and scripts, designed to
facilitate sequential Bayesian inference (estimation) in general state
space models. This software consolidates research on new methods for
recursive Bayesian estimation and Kalman filtering by Rudolph van der
Merwe and Eric A. Wan. The ...
行业发展研究 This paper deals with the problem of speech enhancement when a corrupted speech signal with an addi
This paper deals with the problem of speech enhancement when a
corrupted speech signal with an additive colored noise is the only
information available for processing. Kalman filtering is known as
an effective speech enhancement technique, in which speech signal
is usually modeled as autoregressive ...
行业发展研究 This paper deals with the problem of speech enhancement when only a corrupted speech signal is avai
This paper deals with the problem of speech enhancement when
only a corrupted speech signal is available for processing. Kalman
filtering is known as an effective speech enhancement technique,
in which speech signal is usually modeled as autoregressive (AR)
model and represented in the state-space d ...
*行业应用 Klaas Gadeyne, a Ph.D. student in the Mechanical Engineering Robotics Research Group at K.U.Leuven,
Klaas Gadeyne, a Ph.D. student in the Mechanical Engineering Robotics Research Group at K.U.Leuven, has developed a C++ Bayesian Filtering Library that includes software for Sequential Monte Carlo methods, Kalman filters, particle filters, etc.
系统设计方案 这是一个不错运动目标检测的方案
这是一个不错运动目标检测的方案,涉及到帧间差分法和Kalman滤波器
其他行业 该软件是我读硕士的时候写的
该软件是我读硕士的时候写的,它可以对测井曲线进行直方图、小波变换,曲线拉伸、均值绿波、中值滤波、Kalman滤波以及插值等等操作,程序里还包含了神经网络的内容,非常丰富,是您学习VC++编程和数据处理的好资料!绝对超值!
请先阅读文件夹下的read me 文件 ...
其他 机动目标的跟踪问题一直是人们研究的重点
机动目标的跟踪问题一直是人们研究的重点,实现机动目标精确跟踪,首要解决的问题就是使所建立的目标运动模型与实际的目标运动模型匹配。目前常用的有多模型(MM),交互式多模型(IMM),切换模型等。多模型方法就是对一组具有不同机动模型分别进行Kalman滤波,最终的参数估计是各滤波器估计值的加权和;在多模型基础上,Shalo ...
matlab例程 在matlab环境下
在matlab环境下,实现kalman滤波器跟踪目标。
其他书籍 一片介绍双估计的很好的文章。同时估计动态系统的状态和模型参数
一片介绍双估计的很好的文章。同时估计动态系统的状态和模型参数,使用扩展kalman filter和ukf方法,很有参考价值
VC书籍 惯性导航和GPS的数据融合
惯性导航和GPS的数据融合,基于模糊自适应kalman滤波的方法