Digital Signal Processing
Master digital signal processing from theory to practice. Learn discrete-time signals, Fourier transforms, filtering, and real-time DSP applications.
Master digital signal processing from theory to practice. Learn discrete-time signals, Fourier transforms, filtering, and real-time DSP applications.
This comprehensive specialization provides a complete course in Digital Signal Processing, focusing on audio processing and data transmission. Students learn essential concepts from discrete-time signals to Fourier analysis, digital filters, and analog-to-digital conversion. The program combines theoretical foundations with practical Python applications through Jupyter Notebooks, preparing learners for real-world DSP implementation.
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বাংলা, Tiếng Việt, ଓଡ଼ିଆ, 3 more
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What you'll learn
Discover discrete-time signals and analyze them using Fourier transform. Master digital filter design and implementation techniques. Understand analog-to-digital conversion and sampling theory. Implement real-time DSP algorithms on microcontrollers. Learn digital data communication systems including ADSL. Apply signal processing techniques to audio and image processing.
Skills you'll gain
This course includes:
75 Hours PreRecorded video
Weekly homework assignments
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 courses in this program
Digital Signal Processing 1: Basic Concepts and Algorithms
Course 1 · 28 Hours to complete · 4 modules
Digital Signal Processing 2: Filtering
Course 2 · 18 Hours to complete · 3 modules
Digital Signal Processing 3: Analog vs Digital
Course 3 · 15 Hours to complete · 4 modules
Digital Signal Processing 4: Applications
Course 4 · 14 Hours to complete · 3 modules
Fee Structure
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