Course Summary
This course covers digital signal processing techniques for audio and speech processing. Learn about Fourier analysis, filter design, and audio effects processing.Key Learning Points
- Gain a deep understanding of how digital signal processing is used in audio and speech processing.
- Learn about Fourier analysis and its applications in audio processing.
- Explore audio effects processing and filter design techniques.
Related Topics for further study
Learning Outcomes
- Understand the fundamentals of digital signal processing and its applications in audio and speech processing.
- Learn how to implement digital filters using techniques like FIR and IIR filter design.
- Gain hands-on experience in audio effects processing and speech processing techniques.
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of calculus and linear algebra.
- Familiarity with programming languages like Python and MATLAB.
Course Difficulty Level
IntermediateCourse Format
- Online Self-Paced
- Video Lectures
- Hands-On Exercises
Similar Courses
- Audio Signal Processing for Music Applications
- Digital Signal Processing
Related Education Paths
- Master of Science in Electrical Engineering
- Master of Science in Computer Science
- Master of Music in Music, Science, and Technology
Related Books
Description
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices.
Knowledge
- The basics of image processing
- How digital communication systems work, including ADSL
- How to program a microcontroller to implement real-time DSP algorithms
Outline
- IMAGE PROCESSING
- 4.1.1.a Notation and key concepts
- 4.1.1.b Image manipulations
- 4.1.2 Frequency analysis
- 4.1.3.a 2D Filters
- 4.1.3.b Classic Filters for Images
- 4.1.4.a Image compression
- 4.1.4.b The JPEG compression algorithm
- Signal of the Day: Moire Patterns
- Welcome to DSP Four!
- Introduction
- Introduction
- Introduction
- Introduction
- Practice Homework
- Homework for Module 4.1
- DIGITAL COMMUNICATIONS AND ADSL
- 4.2.1.a The success factors for digital communications
- 4.2.1.b The analog channel constraints
- 4.2.1.c The design problem
- 4.2.2.a Upsampling
- 4.2.2.b Fitting the transmitter spectrum
- 4.2.2.c Noise and probability of error
- 4.2.2.d PAM and QAM
- 4.2.3.a Modulation and demodulation
- 4.2.3.b Design example
- 4.2.3.c Receiver design
- 4.2.3.d Delay compensation
- 4.2.3.e Adaptive equalization
- 4.2.4.a ADSL design
- 4.2.4.b Discrete multitone modulation
- Introduction
- What have we learned?
- Introduction
- What have we learned?
- Introduction
- What have we learned?
- Introduction
- What have we learned?
- Practice homework
- Further reading
- Homework for Module 4.2
- MODULE 4.3: REAL-TIME AUDIO SIGNAL PROCESSING
- Breakout board assembly
- Wiring up everything
- Oscilloscope overview, analog mode
- Oscilloscope overview, digital mode
- Introduction
- The "Voice Transformer" Notebook
- Introduction
- Introduction
Summary of User Reviews
Key Aspect Users Liked About This Course
The course content is highly informative and practicalPros from User Reviews
- Great content that is both informative and practical
- Excellent instructor who is knowledgeable and engaging
- Well-structured course with clear explanations and examples
- Good balance between theory and application
- Useful assignments and quizzes that reinforce learning
Cons from User Reviews
- Some topics may be too technical for beginners
- Lack of interaction with other students
- Limited feedback on assignments
- Some lectures may be too fast-paced
- No certificate of completion for free learners
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