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MATLAB环境下的跳频信号分析与仿真
MATLAB环境下的跳频信号分析与仿真 MATLAB环境下的跳频信号分析与仿真
- 2020-12-01下载
- 积分：1
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【PDF】《Machine learning A Probabilistic Perspective》 MLAPP；by Kevin Murphy
完整版，带目录，机器学习必备经典；大部头要用力啃。Machine learning A Probabilistic PerspectiveMachine LearningA Probabilistic PerspectiveKevin P. MurphyThe mit PressCambridge, MassachusettsLondon, Englando 2012 Massachusetts Institute of TechnologyAll rights reserved. No part of this book may be reproduced in any form by any electronic or mechanicalmeans(including photocopying, recording, or information storage and retrieval)without permission inwriting from the publisherFor information about special quantity discounts, please email special_sales@mitpress. mit. eduThis book was set in the HEx programming language by the author. Printed and bound in the UnitedStates of AmLibrary of Congress Cataloging-in-Publication InformationMurphy, Kevin Png:a piobabilistctive/Kevin P. Murphyp. cm. -(Adaptive computation and machine learning series)Includes bibliographical references and indexisBn 978-0-262-01802-9 (hardcover: alk. paper1. Machine learning. 2. Probabilities. I. TitleQ325.5M872012006.31-dc232012004558109876This book is dedicated to alessandro, Michael and stefanoand to the memory of gerard Joseph murphyContentsPreactXXVII1 IntroductionMachine learning: what and why?1..1Types of machine learning1.2 Supervised learning1.2.1Classification 31.2.2 Regression 83 Unsupervised learning 91.3.11.3.2Discovering latent factors 111.3.3 Discovering graph structure 131.3.4 Matrix completion 141.4 Some basic concepts in machine learning 161.4.1Parametric vs non-parametric models 161.4.2 A simple non-parametric classifier: K-nearest neighbors 161.4.3 The curse of dimensionality 181.4.4 Parametric models for classification and regression 191.4.5Linear regression 191.4.6Logistic regression1.4.7 Overfitting 221.4.8Model selection1.4.9No free lunch theorem242 Probability2.1 Introduction 272.2 A brief review of probability theory 282. 2. 1 Discrete random variables 282. 2.2 Fundamental rules 282.2.3B292. 2. 4 Independence and conditional independence 302. 2. 5 Continuous random variable32CONTENTS2.2.6 Quantiles 332.2.7 Mean and variance 332.3 Some common discrete distributions 342.3.1The binomial and bernoulli distributions 342.3.2 The multinomial and multinoulli distributions 352. 3.3 The Poisson distribution 372.3.4 The empirical distribution 372.4 Some common continuous distributions 382.4.1 Gaussian (normal) distribution 382.4.2Dte pdf 392.4.3 The Laplace distribution 412.4.4 The gamma distribution 412.4.5 The beta distribution 422.4.6 Pareto distribution2.5 Joint probability distributions 442.5.1Covariance and correlation442.5.2 The multivariate gaussian2.5.3 Multivariate Student t distribution 462.5.4 Dirichlet distribution 472.6 Transformations of random variables 492. 6. 1 Linear transformations 492.6.2 General transformations 502.6.3 Central limit theorem 512.7 Monte Carlo approximation 522.7.1 Example: change of variables, the MC way 532.7.2 Example: estimating T by Monte Carlo integration2.7.3 Accuracy of Monte Carlo approximation 542.8 Information theory562.8.1Entropy2.8.2 KL dive572.8.3 Mutual information 593 Generative models for discrete data 653.1 Introducti653.2 Bayesian concept learning 653.2.1Likelihood673.2.2 Prior 673.2.3P683.2.4Postedictive distribution3.2.5 A more complex prior 723.3 The beta-binomial model 723.3.1 Likelihood 733.3.2Prior743.3.3 Poster3.3.4Posterior predictive distributionCONTENTS3.4 The Dirichlet-multinomial model 783. 4. 1 Likelihood 793.4.2 Prior 793.4.3 Posterior 793.4.4Posterior predictive813.5 Naive Bayes classifiers 823.5.1 Model fitting 833.5.2 Using the model for prediction 853.5.3 The log-sum-exp trick 803.5.4 Feature selection using mutual information 863.5.5 Classifying documents using bag of words 84 Gaussian models4.1 Introduction974.1.1Notation974. 1.2 Basics 974. 1.3 MlE for an mvn 994.1.4 Maximum entropy derivation of the gaussian 1014.2 Gaussian discriminant analysis 1014.2.1 Quadratic discriminant analysis(QDA) 1024.2.2 Linear discriminant analysis (LDA) 1034.2.3 Two-claSs LDA 1044.2.4 MLE for discriminant analysis 1064.2.5 Strategies for preventing overfitting 1064.2.6 Regularized LDA* 104.2.7 Diagonal LDA4.2.8 Nearest shrunken centroids classifier1094.3 Inference in jointly Gaussian distributions 1104.3.1Statement of the result 1114.3.2 Examples4.3.3 Information form 1154.3.4 Proof of the result 1164.4 Linear Gaussian systems 1194.4.1Statement of the result 1194.4.2 Examples 1204.4.3 Proof of the result1244.5 Digression: The Wishart distribution4.5. 1 Inverse Wishart distribution 1264.5.2 Visualizing the wishart distribution* 1274.6 Inferring the parameters of an MVn 1274.6.1 Posterior distribution of u 1284.6.2 Posterior distribution of e1284.6.3 Posterior distribution of u and 2* 1324.6.4 Sensor fusion with unknown precisions 138
- 2020-12-10下载
- 积分：1
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圆环阵列的三维图 和线阵的SMI SLC算法 MATLAB
对初学天线方向图的有帮助 主要是几种自适应方法 还有圆环阵列的三维方向图
- 2020-12-09下载
- 积分：1
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GDAL c# 矢量栅格化
GDAL c# 矢量栅格化 编译生成好的最新GDAL c# dll （9个） 矢量栅格化代码（生成bmp图片文件） 有需要的朋友可以下载，自己测试通过的代码，vs2012 编译的 做人已经很厚道了，shp文件就不提供了
- 2020-12-04下载
- 积分：1
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人工蜂群算法matlab程序
人工蜂群算法是模仿蜜蜂行为提出的一种优化方法，是集群智能思想的一个具体应用，它的主要特点是不需要了解问题的特殊信息，只需要对问题进行优劣的比较，通过各人工蜂个体的局部寻优行为，最终在群体中使全局最优值突现出来，有着较快的收敛速度。为了解决多变量函数优化问题，Karaboga提出了人工蜂群算法ABC模型（artificial bee colony algorithm）。本资源是人工蜂群算法的matlab代码，方便大家下载使用
- 2020-06-18下载
- 积分：1
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matlab 数据 excel处理大全
很实用的 我自己整理的一些文档 希望大家喜欢啊
- 2020-12-04下载
- 积分：1
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PreScan罗技方向联合控制仿真教程
prescan、罗技方向盘、simulink联合自动驾驶DIL仿真教程。山≥凵的|8电题||m幽的歌舞囝弟DeleteVelocty I/sFind Reference var ablasDesig vernerFietu-Puint Tuul,Lincar Ang k,>Signal g Seap. Manag-Prrt snal marissRackoroind colorunder no masle of -h eclactad slack辆动力学模块如下图所示:包含发动机、传动系统、底盘系统、换挡逻辑等几个模块。基本的车辆状态参数都已包含在输出信号中(wx,rpm,gear, ax, ay, auto/manual shift throttle brake, ENgine, PDrive roll, pitchwy),其他信号可从相应的模块白由调用回回Ele E1t View Simulation Format Iols上C|c母电|→计|(nifn多|國同多ImpEllEr onLE INnea:: Au. uRiEldes
- 2020-11-28下载
- 积分：1
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无线电导航系统
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- 2020-12-07下载
- 积分：1
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航天飞行器最优控制理论与方法
最优控制理论部分介绍了庞特里亚金最小值原理，并介绍了动态规划和微分对策原理；第二部分介绍了最优控制理论在轨道转移、设计、拦截，交会、对接、返回、再入和航天飞机的指导与控制理论，是航空航天、控制、导航、指导等相关专业的十分好的一本参考书，专业性很强。
- 2021-05-06下载
- 积分：1
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完整的实时深度图平滑代码（像素滤波+加权移动平均）
完整的实时深度图平滑代码（像素滤波+加权移动平均）
- 2020-07-02下载
- 积分：1
