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Electrical Engineering in Context Smart Devices Robots Communications 1st Edition by Roman Kuc 9781285179186 1285179188

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• ISBN 10:1285179188 

• ISBN 13:9781285179186

• Author:Roman Kuc

Electrical Engineering in Context: Smart Devices, Robots & Communications

ELECTRICAL ENGINEERING IN CONTEXT: SMART DEVICES, ROBOTS & COMMUNICATIONS by bestselling author Roman Kuc describes the basic components and technologies that make today’s computer-assisted systems operate and cooperate, inviting the reader to understand by participating in the design process. Directed at the undergraduate electrical engineering student, this book starts with the basics and requires a working knowledge of algebra. Rather than simple plug-and-chug exercises, the book teaches sophisticated problem-solving and design tools. Students will learn through designing digital displays, extracting information from signals, and optimizing system performance through parameter value selection and observing graphical data displays. Animations showing dynamic system behavior and relating to the book figures are available through the book’s companion site. At the completion of the course, students will have an understanding of the capabilities of current digital devices and ideas for possible new applications. This will benefit students in other courses requiring quantitative skills and in their profession. To help accomplish this tall order, the book is written in a graduated intensity that can be adapted to the specific needs and talents of each student: Basic commands and graphs are used in first-level problems that illustrate device performance while varying parameter values and in designs that are open-ended, driven by student curiosity. Some problems can be solved using software packages, but many exercises are for paper and pencil solution.

 

Electrical Engineering in Context Smart Devices Robots Communications 1st Table of contents:

Chapter 1. Introduction
1.1. Introduction
1.2. Electrical Engineering for the Digital Age
1.2.1. Block Diagrams
1.2.2. Describing System Operation
1.2.3. What Electrical Engineers Do
1.3. Analog and Digital Signals
1.3.1. Converting Between Analog and Digital Signals
1.3.2. Advantages of Digital Signals
1.4. Where Is EE Going?
Data Transmission Capabilities and Requirements
1.5. Overview of Chapters
1.6. Further Reading
1.7. Summary
1.8. Problems
1.9. Matlab Projects
Chapter 2. Sensors and Actuators
2.1. Introduction
2.2. Analog and Digital Sensors
Digital Events
2.3. Mechanical Sensors and Actuators
2.3.1. Switches
2.3.2. Switch Arrays
2.3.3. Touch Screens
2.3.4. Vibrating Motor
2.4. Acoustic Sensors and Actuators
2.4.1. Microphone
2.4.2. Loud Speaker
2.5. Optical Sensors and Actuators
2.5.1. Camera
2.5.2. Display
2.6. Proprioception
2.6.1. Accelerometers
2.6.2. GPS
2.7. Active Sensors
2.7.1. Optical Detection
2.7.2. Infrared Ranging
2.7.3. Acoustic Ranging
2.8. Research Challenges
2.9. Summary
2.10. Problems
2.11. Matlab Projects
Chapter 3. Electric Circuits
3.1. Introduction
3.2. Electrical Quantities
3.3. Electrical Components
Resistors
3.3.1. Batteries as Power Sources
3.3.2. Capacitor as a Battery Alternative
3.4. Circuit Analysis Laws
3.4.1. Ohm’s Law
3.4.2. Nodes and Loops
3.4.3. Kirchoff’s Current and Voltage Laws
3.5. Resistor Circuits
3.5.1. Series Resistor Circuits
3.5.2. Parallel Resistor Circuits
3.5.3. Thevenin Equivalent Circuit
3.6. Frequency-Dependent Impedances
3.6.1. Complex Impedance
3.6.2. Frequency Transfer Function
3.7. RC Circuits
3.7.1. Series RC Circuits
3.7.2. Parallel RC Circuits
3.8. LC Circuits
3.8.1. Series LC Circuits
3.8.2. Parallel LC Circuit
3.9. Research Challenges
3.10. Summary
3.11. Problems
3.12. Matlab Projects
Chapter 4. Electronics
4.1. Introduction
4.2. Operational Amplifier
4.2.1. Comparator
4.2.2. Feedback Amplifier
4.2.3. Summing Amplifier
4.2.4. Filters
4.3. Field-Effect Transistor (FET)
FET as a Digital Switch
4.4. Diodes
Rectifier
4.5. Research Challenges
4.6. Summary
4.7. Problems
4.8. Matlab Projects
Chapter 5. Combinational Logic Circuits
5.1. Introduction
5.2. Logic Variables and Logic Equations
5.3. Elementary Logic Gates
5.3.1. NOT Gate
5.3.2. AND Gate
5.3.3. OR Gate
5.4. Building-Block Gates
5.4.1. NAND Gate
5.4.2. NOR Gate
5.4.3. ExOR Gate
5.5. From Logic Gates to Logic Circuits
5.5.1. Constructing a Truth Table
5.5.2. Binary Pattern Recognition
5.6. Logic Circuit Implementation Using Sum of Products
5.7. Truth Table from Logic Equation and Logic Circuit
Forming a Truth Table from a Logic Equation
5.8. Designing Efficient Logic Circuits
de Morgan’s Laws
5.9. Useful Logic Circuits
5.9.1. Implementing an ExOR Gate
5.9.2. Seven-Segment Display Driver
5.9.3. Binary Adder
5.9.4. Binary Multiplication
5.9.5. Binary Division
5.10. Research Challenges
5.11. Summary
5.12. Problems
5.13. Matlab Projects
Chapter 6. Sequential Logic Circuits
6.1. Introduction
6.2. Sequential Circuits
6.3. Set-Reset Flip-Flop
6.3.1. Addressable Memory
6.4. Toggle Flip-Flop
6.5. Counting with Toggle Flip-Flops
6.5.1. Modulo-K Counters
6.5.2. Efficient Modulo-K Counter
6.6. From Logic Circuits to Computers
6.6.1. Computer Components
6.6.2. Computer Computational Power
6.6.3. Computer Power Dissipation
6.7. Research Challenges
6.8. Summary
6.9. Problems
6.10. Matlab Projects
Chapter 7. Converting Between Analog and Digital Signals
7.1. Introduction
7.2. Analog-to-Digital Conversion
7.2.1. Sampling Analog Waveforms
7.2.2. Nyquist Sampling Criterion
7.2.3. Aliasing
7.3. Spatial Frequencies
7.4. Quantization
7.4.1. Sample-and-Hold Operation
7.4.2. Staircase Method for Quantization
7.4.3. Successive Approximation Method
7.4.4. Setting Number of Quantizer Bits
7.5. Digital-to-Analog Conversion
7.5.1. Boxcar Reconstruction
7.5.2. Pulse-Width Modulation
7.6. Quantizer Design Considerations
7.6.1. Quantized Signal Quality
7.6.2. Setting Quantizer Range in Practice
7.7. Research Challenges
7.8. Summary
7.9. Problems
7.10. Matlab Projects
Chapter 8. Digital Signal Processing
8.1. Introduction
8.2. Digital Filter Anatomy
8.3. Difference Equations
General Digital Filter Types
8.4. Digital Filter Inputs
8.5. Moving-Average (MA) Filters
Unit-Sample Response of MA Filter
8.6. Autoregressive (AR) Filters
8.6.1. First-Order AR Filter
8.6.2. Second-Order AR Filters
8.7. ARMA Filters
Generating Sinusoidal Sequences
8.8. Research Challenges
8.9. Summary
8.10. Problems
8.11. Matlab Projects
Chapter 9. Spectral Analysis
9.1. Introduction
9.2. Frequency Domain Analysis
9.3. Discrete Fourier Transform
9.3.1. Magnitude and Phase
9.3.2. Fast Fourier Transform
9.4. Signal Spectrum
9.5. Frequency Transfer Function
9.6. Processing Signals in the Frequency Domain
9.7. Research Challenges
9.8. Summary
9.9. Problems
9.10. Matlab Projects
Chapter 10. Detecting Data Signals in Noise
10.1. Introduction
10.2. Data Transmission Model
Data Processing Task
10.3. Processing Data Signals
10.3.1. Linear Processor
10.3.2. Matched Processor
10.3.3. Complementary Signals
10.4. Processing Signals in Noise
10.4.1. Signal-to-Noise Ratio
10.4.2. Matched Processor Output
10.4.3. Detecting Signals in Noise
10.5. Probability of Error
10.6. Estimating Probability of Error with Simulations
10.6.1. Modeling Random Data
10.6.2. Modeling Random Noise
10.7. Research Challenges
10.8. Summary
10.9. Problems
10.10. Matlab Projects
Chapter 11. Designing Signals for Multiple-Access Systems
11.1. Introduction
11.2. Multiple Simultaneous User Systems
11.3. Orthogonality Condition
Single-User, Multi-Bit Transmission
11.4. Signals Orthogonal in Time—TDMA
Maximum Number of TDMA Users
11.5. Signals Orthogonal in Frequency—FDMA
Maximum Number of FDMA Users
11.6. Signals with Orthogonal Codes—CDMA
Maximum Number of CDMA Users
11.7. Detecting Orthogonal Signals in Noise
11.8. Research Challenges
11.9. Summary
11.10. Problems
11.11. Matlab Projects
Chapter 12. Source Coding
12.1. Introduction
12.2. Data Compression
12.2.1. Modeling Information
12.2.2. Source Entropy
12.2.3. Effective Probabilities
12.2.4. Effective Source Entropy
12.2.5. Effective File Entropy
12.2.6. Huffman Code
12.3. Encryption
12.3.1. Simulating Randomness by Computer
12.3.2. Transmitting the Key (Almost) Securely
12.4. Research Challenges
12.5. Summary
12.6. Problems
12.7. Matlab Projects
Chapter 13. Channel Coding
13.1. Introduction
13.2. Data Structures
13.3. Coding for Error Correction
13.3.1. Redundancy and Data Increase Factor
13.3.2. Bit-Level Error Detection
13.3.3. Bit-Level Error Correction
13.3.4. Data Packet Error Correction
13.4. Data Rate
13.5. Channel Capacity
13.5.1. Capacity Loss with Transmission Range
13.6. Research Challenges
13.7. Summary
13.8. Problems
13.9. Matlab Projects
Chapter 14. Symbology
14.1. Introduction
14.2. Credit Card Codes
Scanning a Magnetic Stripe
14.3. Bar Codes
14.3.1. U.S. Postal Service Bar Code
14.3.2. Universal Product Code
14.3.3. Two-Dimensional Bar Codes
14.4. Machine Unreadable Codes
14.5. Steganography
14.5.1. Digital Watermarks
14.5.2. Embedding Secret Codes in Data
14.6. Research Challenges
14.7. Summary
14.8. Problems
14.9. Matlab Projects
Chapter 15. Data Networks
15.1. Introduction
15.2. Evolution of Data Networks
15.2.1. Packet Switching and Circuit Switching
15.2.2. Internet Transmission Protocols
15.3. Asynchronous Data Transmission
15.4. Internet Data Packets
15.4.1. Probing the Internet
15.5. Detecting Packet Collisions
15.5.1. Packet Collisions in Wired Systems
15.5.2. Packet Collisions in Wireless Networks
15.6. Cloud Computing
15.7. Research Challenges
15.8. Summary
15.9. Problems
15.10. Matlab Projects
Chapter 16. Matlab Best Practices
16.1. Basics
16.2. Basic Input/Output Operations
16.3. Basic Programming Operations
16.4. Programming Style
16.5. Tips on Composing Successful Matlab Programs
16.6. Matlab Program Examples
16.6.1. Introduction
16.6.2. Sensors and Actuators
16.6.3. Electric Circuits
16.6.4. Electronics
16.6.5. Combinational Logic Circuits
16.6.6. Sequential Logic Circuits
16.6.7. Converting Between Analog and Digital Signals
16.6.8. Digital Signal Processing
16.6.9. Spectral Analysis
16.6.10. Detecting Data Signals in Noise
16.6.11. Designing Signals for Multiple-Access Systems
16.6.12. Source Coding
16.6.13. Channel Coding
16.6.14. Symbology
16.6.15. Data Networks
16.7. Summary 

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