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
標簽： parametric Measuring Frequency Content
上傳時間： 2017-03-20
上傳用戶：秦莞爾w
統計模式識別工具箱（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
標簽： Statistical Recognition Pattern Toolbox
上傳時間： 2014-01-03
上傳用戶：璇珠官人
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.
標簽： heuristics developers procedures Providing
上傳時間： 2014-06-14
上傳用戶：朗朗乾坤
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.
標簽： containing Features estimate spectral
上傳時間： 2014-02-09
上傳用戶：daguda
RANSAC 單模型估計算法。比較簡單易懂，模型重構的基礎算法，適合新手使用學習
標簽： Estimation RANSAC scale
上傳時間： 2017-03-09
上傳用戶：gankiceljw
本系統以TMS320F2812為核心設計了一種智能家居裝置——“隨叫隨到”垃圾桶，實現了語音控制垃圾桶的運動。以拾音器作為聲音傳感器，采用延時估計法（Time Delay Estimation，TDE）實現了聲源方位的實時檢測；采用超聲波傳感器實現了垃圾桶行進的蔽障功能；同時，采用語音識別技術實現了對用戶的前、后、左、右行駛或開啟、關閉垃圾桶蓋等各種語音指示的識別。從而達到了垃圾桶“隨叫隨到”的智能化、人性化的目的。
標簽： 比賽
上傳時間： 2018-10-17
上傳用戶：cyyyyyy
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.
標簽： localization environments challenging Resilient mapping R-SLAM and in
上傳時間： 2019-09-15
上傳用戶：zhudx2007
壓縮包中有5篇論文，分別為《Data-driven analysis of variables and dependencies in continuous optimization problems and EDAs》這是一篇博士論文，較為詳細的介紹了各種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》《基于一般二階混合矩的高斯分布估計算法》介紹了一些基于EDA的創新算法。
上傳時間： 2020-05-25
上傳用戶：duwenhao
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.
標簽： Probability Processes Random and
上傳時間： 2020-05-31
上傳用戶：shancjb
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.
標簽： Communications Space-Time Processing Wireless for
上傳時間： 2020-06-01
上傳用戶：shancjb
