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Fundamentals of Digital Image and Video Processing Course

A well-rounded DSP course that combines theoretical depth with real-world applications for engineers and developers.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

What will you in the Fundamentals of Digital Image and Video Processing Course

  • Understand the core principles of digital signal processing (DSP) and its engineering applications

  • Analyze discrete-time signals and systems in both time and frequency domains

  • Design digital filters, including finite impulse response (FIR) and infinite impulse response (IIR) filters

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  • Apply the Fast Fourier Transform (FFT) for efficient signal analysis

  • Explore DSP applications in audio, communication systems, and biomedical engineering

Program Overview

Module 1: Introduction to Digital Signal Processing
Duration: ~2 hours

  • Overview of DSP fundamentals

  • Key concepts of discrete-time signals and systems

Module 2: Time-Domain Analysis of Discrete-Time Systems
Duration: ~3 hours

  • Linear time-invariant systems and their properties

  • Convolution and difference equations

Module 3: Frequency-Domain Analysis
Duration: ~3 hours

  • Discrete-Time Fourier Transform (DTFT)

  • Frequency response of systems

Module 4: The z-Transform
Duration: ~2 hours

  • Definition and application of the z-transform

  • System function, poles, zeros, and stability analysis

Module 5: Digital Filter Design
Duration: ~3 hours

  • FIR and IIR filter design techniques

  • Use of windowing methods and bilinear transformation

Module 6: Fast Fourier Transform (FFT)
Duration: ~2 hours

  • Efficient computation using FFT algorithms

  • Applications in spectrum analysis

Module 7: Applications of DSP
Duration: ~2 hours

  • Practical uses of DSP in audio processing, wireless communication, and biomedical signals

Module 8: Final Assessment
Duration: ~1 hour

  • Comprehensive quiz evaluating understanding of all modules

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Job Outlook

  • Signal Processing Engineers: Strengthen expertise in digital filter design and real-time system analysis

  • Audio Engineers: Apply DSP methods to enhance sound quality and reduce noise

  • Communication Engineers: Develop algorithms for signal modulation and transmission

  • Biomedical Engineers: Analyze physiological data using advanced signal processing techniques

  • Software Developers: Integrate DSP algorithms in applications and embedded systems

Explore More Learning Paths

Expand your skills in digital media with these curated programs designed to help you master image and video processing techniques for creative, professional, and technical applications.

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  • What Is Data Management? – Discover how organized data handling supports effective image and video processing workflows and enhances media analysis.

9.7Expert Score
Highly Recommended
This course blends theoretical rigor with hands-on problem-solving, making it ideal for engineers, developers, and students looking to strengthen their digital signal processing foundation.
Value
9.3
Price
9.5
Skills
9.7
Information
9.6
PROS
  • Clear and structured explanation of complex concepts
  • Covers both theoretical and practical applications
  • Great examples from real-world industries
  • Accessible for both academic and professional learners
CONS
  • Requires prior understanding of signals and systems
  • Limited interactive labs or simulation-based exercises

Specification: Fundamentals of Digital Image and Video Processing Course

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

Fundamentals of Digital Image and Video Processing Course
Fundamentals of Digital Image and Video Processing Course
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