Electronic Signals and Systems Analysis Design and Applications 1st Edition by Muhammad Nasir Khan, Syed K Hasnain, Mohsin Jamil, Ali Imran ISBN 9788770221702 8770221707

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ISBN 10: 8770221707
ISBN 13: 9788770221702
Author: Muhammad Nasir Khan, Syed K Hasnain, Mohsin Jamil, Ali Imran

Electronic Signals and Systems Analysis Design and Applications 1st Edition Table of contents:

1 Signals

1.1 Introduction

1.2 CT Signals

1.2.1 Frequency-CT Sinusoid Signals

1.2.2 Periodic and Aperiodic Signals

1.3 Manipulation of CT Signals

1.3.1 Reflection/Folding/Flipping

1.3.2 Shifting (Advanced and Delayed)

1.3.3 Scaling (Time and Magnitude)

1.3.4 Rule for Reflection, Shifting and Time Scaling

1.3.5 Use of Step and Ramp Function in Signal Processing

1.3.6 Even and Odd Signals

1.4 DT Signals

1.4.1 Continuous Versus Discrete Signals

1.4.2 Concept of Frequency – DT Signals

1.4.3 Time Domain and Frequency Domain

1.5 AD and DA Conversion

1.5.1 Processing Steps for AD Conversion

1.5.1.1 Sample and hold

1.5.1.2 Quantization

1.5.1.3 Coding

1.5.2 Sampling of Analogue Signals.

1.6 The Sampling Theorem

1.7 Quantization Error

1.8 Representing DT Signal

1.8.1 Graphical Representation

1.8.2 Functional Representation

1.8.3 Sequence Representation

1.8.4 Tabular Representation

1.9 Elementary DT Signals

1.9.1 Unit Impulse

1.9.2 Unit Step Signal

1.9.3 Unit Ramp Signal

1.9.4 Exponential Signal

1.9.5 Sinusoidal Signal

1.10 Simple Manipulations of DT Signal

1.10.1 Reflection/Folding/Flipping

1.10.2 Shifting (Advanced and Delayed)

1.10.3 Scaling (Time and Magnitude)

1.10.4 Addition and Multiplication

1.10.5 Even and Odd Signals

1.11 Energy and Power Signals for CT and DT Signals

1.12 Problems and Solutions

2 Differential Equations

2.1 Introduction

2.2 Determination of the Transient Response, θt

2.3 Determination of the Steady-State Response, θss

2.3.1 Zero- or Constant-Driving Function

2.3.2 Ramp- or Acceleration-Driving Function

2.3.3 Exponential-Driving Function

2.3.4 Sinusoidal-Driving Function

2.4 Problems and Solutions

3 Laplace Transform

3.1 Introduction

3.2 Theorems of Laplace Transform

3.3 Differential Equations and Transfer Functions

3.4 Problems and Solutions

4 System Description

4.1 System

4.2 Properties of Continuous-time System

4.2.1 Systems with Memory

4.2.2 Invertibility

4.2.3 Causality

4.2.4 Stability

4.2.5 Time Invariance

4.2.6 Linearity

4.3 Discrete-Time Systems

4.3.1 System’s Representation

4.4 Symbol Used to Represent DTS

4.4.1 An Adder

4.4.2 A Constant Multiplier

4.4.3 A Signal Multiplier

4.4.4 Unit Delay Element

4.4.5 Unit Advanced Element

4.5 Properties of DTS

4.5.1 Static Versus Dynamic Systems

4.5.2 Time Invariant Versus Time-Variant System

4.5.3 Linear Versus Non-Linear System

4.5.3.1 Linear system

4.5.3.2 Non-linear system

4.5.4 Causal vs Non-Causal System

4.5.5 Stable Versus Unstable System

4.6 Systems’ Mathematical Model

4.6.1 Electrical Systems

4.6.1.1 The resistor R

4.6.1.2 The inductor L

4.6.1.3 The capacitor C

4.6.2 Mechanical Translational Systems

4.6.2.1 The mass element

4.6.2.2 The damper element

4.6.2.3 The spring element

4.6.3 Mechanical Rotational System

4.6.4 Electromechanical Systems

4.6.4.1 DC generator

4.6.4.2 Servo motor

4.7 Problems and Solutions

5 Control System Response

5.1 Convolution

5.2 Convolution Integral Formula

5.3 Time Response of First-Order Systems

5.3.1 System Step Response

5.3.2 System dc Gain

5.3.3 System Ramp Response

5.4 Time Response of Second-Order Systems

5.5 Time Response Specifications in Design

5.5.1 Time Response and Pole Locations

5.6 Frequency Response of Systems

5.6.1 First-Order Systems

5.6.2 Second-Order System

5.6.3 System dc Gain

5.7 Problems and Solutions

6 Control System’s Stability

6.1 Introduction

6.2 Routh–Hurwitz Stability Criterion

6.2.1 Case I

6.2.2 Case II

6.2.3 Case III

6.3 Problems and Solutions

7 Fourier Series

7.1 Periodic Function and Fourier Synthesis

7.2 Constructing a Waveform with Sine Waves

7.3 Constructing a Waveform with Cosine Waves

7.4 Constructing a Waveform with Cosine and Sine Waves

7.5 Constructing a Waveform with Both Sine and Cosine Waves and a DC Component

7.6 Trigonometric From of the Fourier Series

7.6.1 Use of Symmetry

7.6.2 Complex Form of the Fourier Series

7.7 Discrete Time Fourier Series of Periodic Signals

7.8 Gibbs’ Phenomenon

7.9 Problems and Solutions

8 Fourier Transform

8.1 Introduction

8.2 Some Properties of the FT

8.2.1 Linearity

8.2.2 Time Reversal

8.2.3 Time Scaling

8.2.4 Time Transformation

8.2.5 Duality

8.2.6 Frequency Shifting

8.2.7 Time Differentiation

8.2.8 Frequency Differentiation

8.2.9 Convolution Property

8.3 Problems and Solutions

9 Solution of Difference Equations

9.1 Constant-Coefficient Difference Equation

9.2 Solution of Difference Equation

9.2.1 Using Sequential Procedure

9.2.2 Classical Technique

9.2.2.1 The homogeneous solution of difference equation

9.2.2.2 The particular solution of difference equation

9.2.2.3 Rules for choosing particular solutions

9.3 Problems and Solutions

10 Z-Transform

10.1 Introduction

10.2 Z-Transform

10.2.1 Region of Convergence

10.2.2 Properties of RoC

10.3 Theorems and Properties of Z-Transform

10.3.1 Multiplication Property

10.3.2 Linearity Property

10.3.3 Time-Shifting Property

10.3.4 Scaling Property

10.3.5 Time Reversal Property

10.3.6 Differentiation Property

10.3.7 Convolution Property

10.3.8 Correlation Property

10.3.9 Initial Value Theorem

10.3.10 Final Value Theorem

10.3.11 Time Delay Property (One Sided Z-Transform)

10.3.12 Time Advance Property

10.4 Inverse Z-Transform (Residue Method)

10.4.1 When the Poles are Real and Non-repeated

10.4.2 When the Poles are Real and Repeated

10.4.3 When the Poles are Complex

11 Analog Filters Design

11.1 Introduction

11.2 LP Filters

11.2.1 First Order RC LPF Circuit

11.2.2 Second Order StocktickerRLC LPF Circuit

11.2.3 Second Order RC LPF Circuit

11.3 High-Pass Filters

11.4 Band Pass Filters

11.5 Band Reject Filters

11.6 Designing Higher-Order Filters

11.7 Problems Associated with Passive Filters

11.8 Filters Using Operational Amplifiers

11.9 Representing Structure of Analogue Computers

11.10 Step-By-Step Design of Analogue Filters

11.11 Butterworth Approximation Function

11.11.1 Step-By-Step Design of Butterworth Filter

11.11.2 Design Procedure for Butterworth Filter

11.11.3 Design Procedure when H(ω) is Specified as a Mere Number

11.11.4 Design Procedure when H(ω) is Specified in Decibels

11.12 Chebyshev Approximation

11.13 Butterworth and Chebyshev Filters’ Comparison

11.14 Practice Problems

12 Future Trends

12.1 Skin Lesion Segmentation from Dermoscopic Images using Convolutional Neural Network

12.1.1 Introduction

12.1.1.1 Literature Review

12.1.1.1.1 Pre-processing techniques

12.1.1.1.2 Segmentation techniques

12.1.2 Materials and Methods

12.1.2.1 Dataset Modalities

12.1.2.2 Proposed Methodology

12.1.2.2.1 Image pre-processing

12.1.2.2.2 Model architecture

12.1.2.2.3 Network training

12.1.3 Results

12.1.3.1 Model Evaluation

12.1.4 Benchmarks

12.1.4.1 Comparison with Different Frameworks

12.1.4.2 Comparison with Top 5 Challenge Participants of Leaderboard

12.1.4.3 Evaluation of Model on the PH2 Dataset

12.1.5 Conclusions

References

12.2 Photodetector based Indoor Positioning Systems Variants: New Look

12.2.1 Introduction

12.2.2 Characteristics of Led-Based IPS

12.2.2.1 Channel Model

12.2.2.2 Multiplexing Protocols

12.2.2.3 Field of View

12.2.2.4 Noise

12.2.2.5 Multipath Effect

12.2.2.6 Error

12.2.3 LED-Positioning Algorithms

12.2.3.1 Received Signal Strength

12.2.3.1.1 Trilateration

12.2.3.1.2 Fingerprinting

12.2.3.1.3 Proximity

12.2.3.2 Time of Arrival/Time Difference of Arrival

12.2.3.2.1 Trilateration

12.2.3.2.2 Multilateration

12.2.3.2.3 Angle of Arrival

12.2.3.3 Data Smoothing Filters

12.2.4 Types of Systems

12.2.5 Analysis Metrics

12.2.5.1 Accuracy

12.2.5.2 Complexity

12.2.5.3 Cost

12.2.6 Challenges and Future Concerns

12.2.7 New Look

12.2.8 Conclusion

References

References and Bibliography

Index

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Tags: Muhammad Nasir Khan, Syed K Hasnain, Mohsin Jamil, Ali Imran, Electronic Signals, Systems