-
VS2015 MFC 编写 常见的CRC校验，CRC4,CRC5,CRC8,CRC16,CRC32等
CRC4-ITU X4+X+1CRC5-EPC X4+X3+1CRC5-ITU X5+X4+X2+1CRC5-USB X5+X2+1CRC6-ITU X5+X2+1CRC7-MMC X7+X3+1CRC8 X8+X2+X+1CRC8-ITU X8+X2+X+1CRC8-ROCH X8+X2+X+1CRC8-MAXIM X8+X5+X4+1CRC16-IBM X16+X15+X2+1CRC16-MAXIM X16+X15+X2+1CRC16-USB X16+X15+X2+1CRC16-MODBUS X16+X15+X2+1CRC16-CCITT X16+X12+X5+
- 2020-12-09下载
- 积分：1
-
基于颜色空间和纹理特征的图像检索
针对目前的基于特征的图像检索中没有有效地结合图像中对象空间信息的问题提出了一种新的融合了颜色、空间和纹理特征的图像特征提取及匹配方法
- 2020-12-08下载
- 积分：1
-
java 毕业设计 论文 项目
【实例简介】java 毕业设计 论文 项目java 毕业设计 论文 项目java 毕业设计 论文 项目java 毕业设计 论文 项目
- 2021-11-19 00:35:04下载
- 积分：1
-
How to Write & Publish a Scientific Paper 6th Edition(nc)
如何撰写和发表SCI论文（英文版）：本书旨在帮助理工科学生和科研人员提高科技论文写作能力，使其论文更容易被国际期刊接收和发表。
- 2020-12-10下载
- 积分：1
-
CASIA汉语情感语料库
资源名称 CASIA汉语情感语料库共包括四个专业发音人，六种情绪，共9,600句不同发音，包括300句相同文本和100句不同文本，可供各种分析实验使用本数据集包含部分数据用途 为研究情感语音所设计的语料
- 2020-12-07下载
- 积分：1
-
循环平稳信号处理
很好的处理循环平稳信号的matlab程序
- 2020-11-27下载
- 积分：1
-
LMI工具箱介绍(中文）.pdf
【实例简介】线性矩阵不等式（LMI）工具箱是求解一般线性矩阵不等式问题的一个高性能软件包。由于其面向结构的线性矩阵不等式表示方式，使得各种线性矩阵不等式能够以自然块矩阵的形式加以描述。一个线性矩阵不等式问题一旦确定，就可以通过调用适当的线性矩阵不等式求解器来对这个问题进行数值求解。
- 2021-12-04 00:39:41下载
- 积分：1
-
【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
-
高斯瑞利分布下qpsk和QAM的误码率分析
高斯瑞利分布下qpsk和QAM的误码率分析，不仅对理论的曲线进行了绘制，而且进行了仿真。16QAM在瑞利衰落信道下的的程序网上比较难找，这份资料详细的分析并得出了最终的曲线图！
- 2020-12-05下载
- 积分：1
-
串口读取labview上位机程序
用labview编写的串口读取上位机程序，实现与单片机的串口通信，并能将数据实时显示在示波图表界面上，还能将采集的数据以文本形式保存。
- 2020-12-02下载
- 积分：1
