ELEC3104 Digital Signal Processing

Course Lectures

• Digital Signal Processing 6: Discrete-Time Fourier Transform

  Eliathamby Ambikairajah

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  This module covers the Discrete-Time Fourier Transform (DTFT), a critical component in understanding signal representation in the frequency domain. Through electronic whiteboard-based lectures, students will:

  • Learn the mathematical principles behind DTFT.
  • Explore applications of DTFT in real-world signal processing.
  • Understand the significance of frequency analysis in signal manipulation.
• Digital Signal Processing 5B: Digital Signal Processing

  Eliathamby Ambikairajah

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  This module continues the exploration of Digital Signal Processing, focusing on advanced concepts and techniques. The electronic whiteboard-based lectures provide:

  • A deeper understanding of digital signals.
  • Insights into practical applications of digital signal processing techniques.
  • Real-world examples to reinforce theoretical knowledge.
• Digital Signal Processing 4: Fourier Representation of Signal

  Eliathamby Ambikairajah

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  In this module, students will learn about the Fourier Representation of Signals. Key topics include:

  • The role of Fourier series in signal representation.
  • Understanding periodic signals and their analysis.
  • Application of Fourier transforms in various fields.

  This foundational knowledge is critical for more advanced signal processing topics.

• Digital Signal Processing 3: Introduction to Z-Transorm

  Eliathamby Ambikairajah

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  This module introduces the Z-Transform, a powerful tool in the analysis and design of discrete-time systems. The electronic whiteboard lectures will cover:

  • The mathematical foundations of the Z-Transform.
  • Applications in system stability and frequency response.
  • Techniques for converting difference equations into Z-domain representations.
• Digital Signal Processing 1: Signals and Systems

  Eliathamby Ambikairajah

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  This module provides an introduction to Signals and Systems, laying the groundwork for understanding more complex signal processing concepts. Key areas of focus include:

  • Types of signals and their classifications.
  • Basic principles of systems and their responses to signals.
  • Understanding linear time-invariant (LTI) systems.

  Through electronic lectures, students will gain essential knowledge applicable to subsequent modules.

• Digital Signal Processing 5C: Digital Signal Processing

  Eliathamby Ambikairajah

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  This module continues the study of Digital Signal Processing, emphasizing advanced techniques and applications. Students will engage in:

  • In-depth discussions on digital filtering methods.
  • Case studies showcasing practical use cases.
  • Hands-on exercises to reinforce learning outcomes.
• Digital Signal Processing 5A: Digital Signal Processing

  Eliathamby Ambikairajah

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  In this module, students will explore the initial concepts of Digital Signal Processing, focusing on fundamental principles and techniques. Key topics include:

  • Understanding the sampling theorem and its implications.
  • Introduction to digital signal representation.
  • Basic filtering techniques and their applications.

  Through electronic whiteboard lectures, students will gain a solid foundation for future learning.

• Digital Signal Processing 2: Discrete-Time System

  Eliathamby Ambikairajah

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  This module provides insights into Discrete-Time Systems, which are crucial for understanding how signals are processed. Key areas of focus include:

  • Characteristics of discrete-time systems.
  • Analysis of system stability and performance.
  • Applications in various fields of engineering.

  Students will engage with electronic lectures to deepen their understanding of these concepts.

• Digital Signal Processing 7: Analogue Filter Design

  Eliathamby Ambikairajah

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  This module focuses on Analogue Filter Design, an essential aspect of signal processing. Students will explore:

  • The principles of filter design and implementation.
  • Types of analogue filters and their applications.
  • Real-world examples of analogue filter usage in different industries.

  Through engaging electronic lectures, learners will acquire practical skills in filter design.

• Digital Signal Processing 8A: Digital Filter Design

  Eliathamby Ambikairajah

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  This module delves into Digital Filter Design, focusing on the methods and techniques used to create effective digital filters. Key topics include:

  • Design methodologies for various filter types.
  • Mathematical tools for filter design.
  • Simulation and performance evaluation of digital filters.

  Students will engage with electronic lectures to apply theory to practice.

• Digital Signal Processing 8B: Digital Filter Design

  Eliathamby Ambikairajah

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  This module continues the exploration of Digital Filter Design, providing further insights into advanced techniques and methodologies. Students will learn about:

  • Refinements in filter design processes.
  • Advanced simulation techniques for filter performance.
  • Real-world applications of digital filters in various fields.

  Through engaging electronic lectures, students will enhance their skills in digital signal processing.

• Digital Signal Processing 9: Multirate Digital Signal Processing

  Eliathamby Ambikairajah

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  This module addresses Multirate Digital Signal Processing, an important area in modern signal processing. Key topics include:

  • Understanding the concepts of upsampling and downsampling.
  • Design techniques for multirate systems.
  • Applications in audio and video processing.

  Students will engage with electronic lectures to grasp the significance of multirate processing in signal manipulation.