1.Introduction 2.Discrete-Time Signal and Systems 3.The Discrete-Time Fourier Analysis 4.The z-Transform 5.The Discrete Fourier Transform 6.Digital filter Structures 7.FIR Filter Design 8.IIR Filter Design 9.Application in Adaptive Filter 10.Application in Communication

Digital Fundamentals(11th) 英文无水印pdf 第11版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除

NFC 协议大全，附件里是4个协议的压缩档，主要的协议都有。

Introduction to Analog & Digital Communications pdf版

Digital Fundamentals 9th & 11th Ed, Thomas L. Floyd 数字电子技术-9th-中文版 数字电子技术-10th-中文版

英语论文，希望能有所帮助

数字水印源代码，C语言源程序 需要者可下载

Digital Systems Testing and Testable Design一书，是全美大学生和研究生优秀教材，比较系统地介绍了结构测试的理论和方法、可测性设计理论和度量方法、测试数据的处理及简化的理论和方法以及智能芯片(处理器、数字信号处理器和自动机等)测试理论和方法等。该书共有15章，分为3部分。前8章为第一部分，主要介绍数字系统、数字微系统芯片缺陷的来源、逻辑描述的方法——故障的建模、故障模拟、测试单固定故障、测试桥接故障、智能数字系统的功能测试及其范围等；第9章～第14章是第二部分，主要介绍数字系统的可测性设计理论和方法、建内自测试BIST测试数据压缩方法等现代测试理论和方法；第15章足第三部分，主要讨论系统测试的方法。该书概念清晰层次分明、定义和证明准确、算法推导和阐述简练。每章附有大量练习题可帮助读者对于概念的消化吸收。

Foundations_of_Analog_and_Digital_Electronic_Circuits

Copyright  2014 John Wiley & Sons, Inc 总页数：802 Contents 1 Introduction 1 1.1 Historical Background 1 1.2 The Communication Process 2 1.3 Multiple-Access Techniques 4 1.4 Networks 6 1.5 Digital Communications 9 1.6 Organization of the Book 11 2 Fourier Analysis of Signals and Systems 13 2.1 Introduction 13 2.2 The Fourier Series 13 2.3 The Fourier Transform 16 2.4 The Inverse Relationship between Time-Domain and Frequency-Domain Representations 25 2.5 The Dirac Delta Function 28 2.6 Fourier Transforms of Periodic Signals 34 2.7 Transmission of Signals through Linear Time-Invariant Systems 37 2.8 Hilbert Transform 42 2.9 Pre-envelopes 45 2.10 Complex Envelopes of Band-Pass Signals 47 2.11 Canonical Representation of Band-Pass Signals 49 2.12 Complex Low-Pass Representations of Band-Pass Systems 52 2.13 Putting the Complex Representations of Band-Pass Signals and Systems All Together 54 2.14 Linear Modulation Theory 58 2.15 Phase and Group Delays 66 2.16 Numerical Computation of the Fourier Transform 69 2.17 Summary and Discussion 78 3 Probability Theory and Bayesian Inference 87 3.1 Introduction 87 3.2 Set Theory 88 3.3 Probability Theory 90 3.4 Random Variables 97 3.5 Distribution Functions 98 3.6 The Concept of Expectation 105 3.7 Second-Order Statistical Averages 108 3.8 Characteristic Function 111 3.9 The Gaussian Distribution 113 3.10 The Central Limit Theorem 118 3.11 Bayesian Inference 119 3.12 Parameter Estimation 122 3.13 Hypothesis Testing 126 3.14 Composite Hypothesis Testing 132 3.15 Summary and Discussion 133 4 Stochastic Processes 145 4.1 Introduction 145 4.2 Mathematical Definition of a Stochastic Process 145 4.3 Two Classes of Stochastic Processes: Strictly Stationary and Weakly Stationary 147 4.4 Mean, Correlation, and Covariance Functions of Weakly Stationary Processes 149 4.5 Ergodic Processes 157 4.6 Transmission of a Weakly Stationary Process through a Linear Time-invariant Filter 158 4.7 Power Spectral Density of a Weakly Stationary Process 160