Stochastic
共 34 篇文章
Stochastic 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 34 篇文章，持续更新中。
04 calgary PhD Error Analysis and Stochastic Modeling of MEMS based Inertial Sensors for Land Vehicl
资料->【E】光盘论文->【E1】斯坦福博士论文->04 calgary PhD Error Analysis and Stochastic Modeling of MEMS based Inertial Sensors for Land Vehicle Navigation Applications.pdf
MachineLearninginAction机器学习实战及配套代码
<p>MachineLearninginAction机器学习实战及配套代码</p><p><br/></p><p>After college I went to work for Intel in California and mainland China. Originally my
plan was to go back to grad school after two years, but
自适应随机共振算法实现,具体内容注释中会有解释
自适应随机共振算法实现,具体内容注释中会有解释.-Adaptive stochastic resonance algorithm, the specific content of the Notes will be explained.
Stochastic Geometry and Wireless Networks
A wireless communication network can be viewed as a collection of nodes, located in some domain, which<br />
can in turn be transmitters or receivers (depending on the network considered, nodes may be
Stochastic Geometry and Wireless Networks Volume I
Part I provides a compact survey on classical stochastic geometry models. The basic models defined<br />
in this part will be used and extended throughout the whole monograph, and in particular to SIN
Performance+Analysis+of+Communications+Networks
Performance analysis belongs to the domain of applied mathematics. The<br />
major domain of application in this book concerns telecommunications sys-<br />
tems and networks. We will mainly use stoch
OFDM+Wireless+LANS
Before delving into the details of orthogonal frequency division multiplexing (OFDM), relevant<br />
background material must be presented first. The purpose of this chapter is to provide the necessar
stochastic diff equ, 随即微分方程的,比较使用
stochastic diff equ, 随即微分方程的,比较使用
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
Solving Stochastic Differential Equations with Maple By Sasha Cyganowski
Solving Stochastic Differential Equations with
Maple
By
Sasha Cyganowski
SIMULATION AND ESTIMATION OF STOCHASTIC DIFFERENTIAL EQUATIONS WITH MATLAB
SIMULATION AND ESTIMATION OF STOCHASTIC DIFFERENTIAL EQUATIONS WITH MATLAB
一种基于概率的数据降维处理方法：Stochastic Neighbor Embedding
一种基于概率的数据降维处理方法：Stochastic Neighbor Embedding
java Labyrinth game；Provides two kinds to produce map s way stochastically: The stochastic distribut
java Labyrinth game；Provides two kinds to produce map s way stochastically: The stochastic distribution point method and the chart depth first traversal the law two kinds.It can searches the shortest
这是一本经典的美国关于概率论和随机过程的书的习题解答。这本书成为美国通信专业许多学校博士生的教材。书名“Probability ,random variables and stochastic pro
这是一本经典的美国关于概率论和随机过程的书的习题解答。这本书成为美国通信专业许多学校博士生的教材。书名“Probability ,random variables and stochastic processes” Athanasions Papoulis 著
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and m
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may
fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the
（随机模拟）Stochastic Simulation（已加注）
（随机模拟）Stochastic Simulation（已加注）
Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to
Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
The software implements particle filtering and Rao Blackwellised particle filtering for conditionall
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman
A Stochastic Time-to-Digital Converter for Digital Phase-Locked Loops
A Stochastic Time-to-Digital Converter for Digital Phase-Locked Loops
dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical
dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothe