Signals and Systems Analysis Using Transform Methods and MATLAB 3rd Edition by MJ Roberts ISBN 0078028124 9780078028120

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ISBN 10: 0078028124 
ISBN 13: 9780078028120
Author: MJ Roberts

Signals and Systems: Analysis Using Transform Methods and MATLAB® has been extensively updated, while retaining the emphasis on fundamental applications and theory. The text includes a wealth of exercises, including drill exercises, and more challenging conceptual problems. McGraw-Hill Education’s Connect, is also available as an optional, add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student’s work. Problems are randomized to prevent sharing of answers an may also have a “multi-step solution” which helps move the students’ learning along if they experience difficulty.

Signals and Systems Analysis Using Transform Methods and MATLAB 3rd Table of contents:

Chapter 1: Introduction to Signals and Systems

• Overview of Signals and Systems
• Continuous-Time vs. Discrete-Time Signals
• Classification of Signals: Periodic, Aperiodic, Deterministic, and Random
• Basic Operations on Signals
• Systems and Their Properties
• Examples of Real-World Signals and Systems

Chapter 2: Time-Domain Analysis of Continuous-Time Signals

• Signal Representation in the Time Domain
• Signal Operations: Shifting, Scaling, and Inversion
• Elementary Signals: Step, Ramp, Impulse, and Exponential
• Signal Transformations in the Time Domain
• MATLAB Implementation: Plotting Signals and Operations

Chapter 3: Time-Domain Analysis of Discrete-Time Signals

• Representation of Discrete-Time Signals
• Sampling and Reconstruction of Signals
• Discrete-Time Signal Operations
• MATLAB Implementation: Sampling and Signal Manipulation

Chapter 4: Fourier Series and Fourier Transforms

• Fourier Series Representation of Periodic Signals
• Fourier Transform for Aperiodic Signals
• Properties of Fourier Transform
• MATLAB Implementation: Fourier Series and Fourier Transform
• Applications in Signal Processing

Chapter 5: Laplace Transform

• Introduction to the Laplace Transform
• Region of Convergence (ROC) and Properties of the Laplace Transform
• Inverse Laplace Transform
• Application of the Laplace Transform in System Analysis
• MATLAB Implementation: Laplace Transform and Inverse Laplace

Chapter 6: Z-Transform

• The Z-Transform: Definition and Properties
• Region of Convergence (ROC) for Z-Transforms
• Inverse Z-Transform
• Application of Z-Transform in Discrete-Time System Analysis
• MATLAB Implementation: Z-Transform and Inverse Z-Transform

Chapter 7: System Analysis and Stability

• Types of Systems: Linear, Time-Invariant, and Causal
• Stability of Continuous-Time and Discrete-Time Systems
• System Response Using Transform Methods
• Bounded Input-Bounded Output (BIBO) Stability
• MATLAB Implementation: Stability Analysis of Systems

Chapter 8: Convolution and Its Applications

• Convolution of Signals in Continuous and Discrete Time
• Properties of Convolution
• Convolution Theorem and Its Application in Transform Methods
• MATLAB Implementation: Convolution of Signals

Chapter 9: State-Space Analysis of Systems

• State-Space Representation of Systems
• Solution to State-Space Equations
• Stability Analysis Using State-Space Models
• MATLAB Implementation: State-Space Modeling and Analysis

Chapter 10: Filter Design and Applications

• Introduction to Filters: Low-Pass, High-Pass, Band-Pass, and Band-Stop
• Frequency Response and Filter Characteristics
• Digital Filter Design Techniques
• MATLAB Implementation: Designing and Analyzing Filters

Chapter 11: Sampling and Reconstruction

• The Sampling Theorem
• Aliasing and Its Effects
• Signal Reconstruction from Samples
• MATLAB Implementation: Sampling and Reconstruction Techniques

Chapter 12: Applications of Transform Methods in Communication Systems

• Signal Modulation and Demodulation
• Frequency Modulation (FM) and Amplitude Modulation (AM)
• Noise and Filtering in Communication Systems
• MATLAB Implementation: Simulating Communication Systems

Chapter 13: Advanced Topics in Signals and Systems

• Wavelet Transform and Multiresolution Analysis
• Time-Frequency Analysis
• Nonlinear Systems and Chaos Theory
• MATLAB Implementation: Advanced Signal Processing

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