

Digital Signal Processing 4: Applications
- Offered byCoursera
- Public/Government Institute
Digital Signal Processing 4: Applications at Coursera Overview
Duration | 14 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Digital Signal Processing 4: Applications at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Digital Signal Processing 4: Applications at Coursera Course details
- 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.
- The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice.
- To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course.
Digital Signal Processing 4: Applications at Coursera Curriculum
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
Prepare the breakout boards
Introduction
Introduction
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