Digital Communications: A Discrete-Time Approach
Author: Michael Ric
This text uses the principles of discrete-time signal processing to introduce and analyze digital communications – connecting continuous-time and discrete-time ideas.
The text brings under one cover the theoretical and practical issues from discrete-time signal processing, discrete-time filter design, multi-rate discrete-time processing, estimation theory, signal space analysis, numerical algorithms – all focused on digital communications.
A useful reference for programmers.
Table of Contents:
Contents
1 Introduction
1.1 A brief History of Communications
1.2 Basics of Wireless Communications
1.3 Digital Communications
1.4 Why Discrete-Time Processing is so Popular
1.5 Organization of the Text
1.6 Notes and References
2 Signals and Systems 1: A Review of the Basics
2.1 Introduction
2.2 Signals
2.2.1 Continuous-Time Signals
2.2.2 Discrete-Time Signals
2.3 Systems
2.3.1 Continuous-Time Systems
2.3.2 Discrete- Time Systems
2.4 Frequency Domain Characterization
2.4.1 Laplace Transform
2.4.2 Continuous-Time Fourier Transform
2.4.3 Z Transform
2.4.4 Discrete-Time Fourier Transform
2.5 The Discrete Fourier Transform
2.6 The Relationship Between Discrete-Time and Continuous-
Time Systems
2.6.1 The Sampling Theorem
2.6.2 Discrete-Time Processing of Continuous-Time Signals
2.7 Discrete-Time Processing of Bandpass Signals
2.8 Notes and References
2.9 Exercises
3 Signals and Systems 2: Some Useful Discrete-Time Techniques for Digital Communications
3.1 Introduction
3.2 Multirate
3.2.1 Impulse Train Sampling
3.2.2 Downsampling
3.2.3 Upsampling
3.2.4 The Noble Identities
3.2.5 Polyphase Filterbanks
3.3 Discrete-Time Filters DesignMethods
3.3.1 IIR Filter Design
3.3.2 FIR Filter Design
3.3.3 Two Important Filters: The Differentiator and the
Intergrator
3.4 Notes and References
3.5 Exercises
4 A Review of Probability Theory
4.1 Basic Definitions
4.2 Gaussian Random Variables
4.2.1 Density and Distribution Functions
4.2.2 Product Moments
4.2.3 BivariateGaussian Distribution
4.2.4 Functions of Random Variables
4.3 Multivariate Gaussian Random Variables
4.4 Random Sequences
4.4.1 Power Spectral Density
4.4.2 Random Sequences and Discrete-Time LTI Systems
4.5 Additive White Gaussian Noise
4.5.1 Continuous Time Random Processes
4.5.2 The White Gaussian Random Process: A Good Model
For Noise
4.5.3 White Gaussian Noise in a sampled data System
4.6 Notes and References
4.7 Exercises
5 Linear Modulation 1: Demodulation, and Detection
5.1 Signal Spaces
5.1.1 Definitions
5.1.2 The Synthesis Equation and Linear Modulation
5.1.3 The Analysis Equation and Detection
5.1.4 The matched Filter
5.2 M-ary Baseband Pulse Amplitude Modulation (PAM)
5.2.1 Continuous-Time Realization
5.2.2 Discrete-Time Realization
5.3 M-ary Quadrature Amplitude Modulation (MQAM)
5.3.1 Continuous-Time Realization
5.3.2 Discrete-Time Realization
5.4 Offset QPSK
5.5 Multicarrier
5.6 Maximum Likelihood detection
5.6.1 Introduction
5.6.2 Preliminaries
5.6.3 Maximum Likelihood Decision Rule
5.7 Notes and References
5.8 Exercises
6 Linear Modulation 2: Performance
6.1 Performance of PAM
6.1.1 Bandwidth
6.1.2 Probability of Error
6.2 Performance of QAM
6.2.1 Bandwidth
6.2.2 Probability of Error
6.3 Comparisons
6.4 Link Budgets
6.4.1 Received Power and The Friis equation
6.4.2 Equivalent Noise Temperature and Noise Figure
6.4.3 The Link Budget Equation
6.5 Projection White Noise Onto An Orthonormal Basis Set
6.6 Notes and References
6.7 Exercises
7 Carrier Phase Synchronization
7.1 Basics Problem Formulation
7.2 Carrier Phase Synchronization for QPSK
7.2.1 A Heuristic Phase Error Detector
7.2.2 The Maximum Likelihood Phase Error Detector
7.2.3 Examples
7.3 Carrier Phase Synchronization for BPSK
7.4 Carrier Phase Synchronization for MQAM
7.5 Carrier Phase Synchronization for Offset QPSK
7.6 Carrier Phase Synchronization for BPSK and QPSK Using
Continuous-Time-Techniques
7.7 Phase Ambiguity Resolution
7.7.1 Unique Word
7.7.2 Differential Encoding
7.8 Maximum Likelihood Phase Estimation
7.8.1 Preliminaries
7.8.2 Carrier Phase Estimation
7.9 Notes and References
7.10 Exercises
8 Symbol Timing Synchronization
8.1 Basic Problem Formulation
8.2 Continuous-Time Techniques for M-ary PAM
8.3 Continuous-Time Techniques for MQAM
8.4 Discrete-Time Techniques for M-ary PAM
8.4.1 Timing Error Detectors
8.4.2 Interpolation
8.4.3 Interpolation Control
8.4.4 Examples
8.5 Discrete-Time Techniques for MQAM
8.6 Discrete-Time Techniques for Offset QPSK
8.7 Dealing with Transition Density: A Parctical Consideration
8.8 Maximum Likelihood Estimation
8.8.1 Preliminaries
8.2.2 Symbol Timing Estimation
8.9 Notes and References
8.10 Exercises
9 System Components
9.1 The Continuous-Time Discrete-Time Interface
9.1.1 Analog-to-Digital Converter
9.2.2 Digital-to-Analog Converter
9.2 Discrete-Time Oscillators
9.2.1 Discrete Oscillators Based on LTI Systems
9.2.2 Direct Digital Synthesizer
9.3 Resampling Filters
9.3.1 CIC and Hogenauer Filters
9.3.2 Half-Band Filters
9.3.3 Arbitrary Resampling Using Polyphase Filterbanks
9.4 CoRDiC: Coordinate Rotation Digital Computer
9.4.1 Rotations: Moving on a Circle
9.4.2 Moving Along Other Shapes
9.5 Automatic gain Control
9.6 Notes and References
9.7 Exercise
10 System Design
10.1 Advance Discrete-Time Architectures
10.1.1 Discrete-Time Architectures for QAM Modulators
10.1.2 Discrete-Time Architectures for QAM
Demodulators
10.1.3 Putting It all Together
10.2 Channelization
10.2.1 Continuous-Time Techniques: The
Superheterodynd Receiver
10.2.2 Discrete-Time Techniques Using Multirate
Processing
10.3 Notes and References
10.4 Exercises
Look this: Hotel or Fear of Small Numbers
Personal Financial Planning
Author: Lewis J Altfest
Personal Financial Planning brings a new level of analytical depth to this fast-rising field. Written for the financial professional, Personal Financial Planning uses an original framework to make the material comprehensible to students while simultaneously providing a platform for further research and innovation within the discipline. Altfest's innovative Total Portfolio Management approach, combined with an ongoing integrated case study, provides a unique and powerful entry into this important subject.
Table of Contents:
PART I PLANNING BASICSChapter 1 Introduction to PFP
Chapter 2 Time Value of Money
Chapter 3 Beginning the Planning Process
PART II ONGOING HOUSEHOLD PLANNING
Chapter 4 Household Finance
Chapter 5 Financial Statements Analysis
Chapter 6 Cash Flow Planning
Chapter 7 Debt
PART III PORTFOLIO MANAGEMENT
Chapter 8 Non Financial Investments
Chapter 9 Financial Investments
Chapter 10 Risk Management
PART IV SPECIALIZED PLANNING
Chapter 11 Other Insurance
Chapter 12 Retirement Planning
Chapter 13 Educational Planning
PART V TAX AND ESTATE PLANNING
Chapter 14 Tax Planning
Chapter 15 Estate Planning
PART VI PLANNING ESSENTIALS
Chapter 16 Stocks, Bonds and Mutual Funds
Chapter 17 Background Topics
PART VII Integrated Decision Making
Chapter 18 Capital Needs Analysis
Chapter 19 Behavioral Financial Planning
Chapter 20 Completing the Process
PART VIII FURTHER SPECIALIZED TOPICS
A. Special Circumstances Planning
B. Career Basics
C. Regulation
Appendix A Modern Investment Theory
Appendix B Employee Benefits
Appendix C Behavioral Finance-Applications
Appendix D Comprehensive Financial Plan-Dan and Laura
*Web based
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