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EstimATion

  • Measuring Frequency Content in Signals I this section we will study some non parametric methods fo

    Measuring Frequency Content in Signals I this section we will study some non parametric methods for spectrum EstimATion of a stochastic process. These methods are described in the literature. All methods are based on the Periodogram which is defined for a sequence x[n] with length N according to

    标签: parametric Measuring Frequency Content

    上传时间: 2017-03-20

    上传用户:秦莞尔w

  • 统计模式识别工具箱(Statistical Pattern Recognition Toolbox)包含: 1

    统计模式识别工具箱(Statistical Pattern Recognition Toolbox)包含: 1,Analysis of linear discriminant function 2,Feature extraction: Linear Discriminant Analysis 3,Probability distribution EstimATion and clustering 4,Support Vector and other Kernel Machines

    标签: Statistical Recognition Pattern Toolbox

    上传时间: 2014-01-03

    上传用户:璇珠官人

  • Providing a proven set of procedures and heuristics that software developers, technical leads, and p

    Providing a proven set of procedures and heuristics that software developers, technical leads, and project managers can apply to their projects, this guide will help organizations achieve basic EstimATion proficiency.

    标签: heuristics developers procedures Providing

    上传时间: 2014-06-14

    上传用户:朗朗乾坤

  • Features a unique program to estimate the power spectral density. The spectrum containing all signif

    Features a unique program to estimate the power spectral density. The spectrum containing all significant details is calculated from a time series model. Model type as well as model order are determined automatically from the data, using statistical criteria. Robust EstimATion algorithms and order selection criteria are used to obtain reliable results. Unlike in FFT analysis, where the experimenter has to set the amount of smoothing of the raw FFT, the right level of detail is assessed using the data only.

    标签: containing Features estimate spectral

    上传时间: 2014-02-09

    上传用户:daguda

  • RANSAC scale EstimATion

    RANSAC 单模型估计算法。比较简单易懂,模型重构的基础算法,适合新手使用学习

    标签: EstimATion RANSAC scale

    上传时间: 2017-03-09

    上传用户:gankiceljw

  • “随叫随到”垃圾桶

    本系统以TMS320F2812为核心设计了一种智能家居装置——“随叫随到”垃圾桶,实现了语音控制垃圾桶的运动。以拾音器作为声音传感器,采用延时估计法(Time Delay EstimATion,TDE)实现了声源方位的实时检测;采用超声波传感器实现了垃圾桶行进的蔽障功能;同时,采用语音识别技术实现了对用户的前、后、左、右行驶或开启、关闭垃圾桶盖等各种语音指示的识别。从而达到了垃圾桶“随叫随到”的智能化、人性化的目的。

    标签: 比赛

    上传时间: 2018-10-17

    上传用户:cyyyyyy

  • R-SLAM--Resilient localization and mapping

    Accurate pose EstimATion plays an important role in solution of simultaneous localization and mapping (SLAM) problem, required for many robotic applications. This paper presents a new approach called R-SLAM, primarily to overcome systematic and non-systematic odometry errors which are generally caused by uneven floors, unexpected objects on the floor or wheel-slippage due to skidding or fast turns.The hybrid approach presented here combines the strengths of feature based and grid based methods to produce globally consistent high resolution maps within various types of environments.

    标签: localization environments challenging Resilient mapping R-SLAM and in

    上传时间: 2019-09-15

    上传用户:zhudx2007

  • EDA分布估计算法经典论文

    压缩包中有5篇论文,分别为《Data-driven analysis of variables and dependencies in continuous optimization problems and EDAs》这是一篇博士论文,较为详细的介绍了各种EDA算法;《Anisotropic adaptive variance scaling for Gaussian EstimATion of distribution algorithm》《Enhancing Gaussian EstimATion of Distribution Algorithm by Exploiting Evolution Direction with Archive》《Niching an Archive-based Gaussian EstimATion of Distribution Algorithm via Adaptive Clustering》《Supplementary material for Enhancing Gaussian EstimATion of Distribution Algorithm by Exploiting Evolution Direction with Archive》《基于一般二阶混合矩的高斯分布估计算法》介绍了一些基于EDA的创新算法。

    标签: EDA 分布估计算法 论文

    上传时间: 2020-05-25

    上传用户:duwenhao

  • Probability and Random Processes

    Many good textbooks exist on probability and random processes written at the under- graduate level to the research level. However, there is no one handy and ready book that explains most of the essential topics, such as random variables and most of their frequently used discrete and continuous probability distribution functions; moments, transformation, and convergences of random variables; characteristic and generating functions; EstimATion theory and the associated orthogonality principle; vector random variables; random processes and their autocovariance and cross-covariance functions; sta- tionarity concepts; and random processes through linear systems and the associated Wiener and Kalman filters. 

    标签: Probability Processes Random and

    上传时间: 2020-05-31

    上传用户:shancjb

  • Space-Time+Processing+for+Wireless+Communications

    In this thesis several asp ects of space-time pro cessing and equalization for wire- less communications are treated. We discuss several di?erent metho ds of improv- ing estimates of space-time channels, such as temp oral parametrization, spatial parametrization, reduced rank channel EstimATion, b o otstrap channel EstimATion, and joint EstimATion of an FIR channel and an AR noise mo del. In wireless commu- nication the signal is often sub ject to intersymb ol interference as well as interfer- ence from other users. 

    标签: Communications Space-Time Processing Wireless for

    上传时间: 2020-06-01

    上传用户:shancjb