Udemy - Digital Signal Processing for Embedded Applications

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.2 GB
  • Uploaded Byfreecoursewb
  • Downloads82
  • Last checkedApr. 07th '26
  • Date uploadedApr. 05th '26
  • Seeders 12
  • Leechers3

Infohash : F7062C5CD16F940D4B0C532FD44110046BD9F162

Digital Signal Processing for Embedded Applications

https://WebToolTip.com

Last updated 2/2026
Created by Educational Engineering, Educational Engineering Team, Ashraf Said AlMadhoun
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 21 Lectures ( 1h 38m ) | Size: 1.2 GB

Build real-time DSP solutions for embedded systems with real-time filtering, FFT, optimization and hardware acceleration

What you'll learn
✓ Understand the core principles of digital signal processing (DSP)
✓ Apply sampling, quantization, and time-domain analysis techniques
✓ Design and implement FIR and IIR filters for embedded systems
✓ Use FFT, adaptive filtering, and hardware acceleration in real-time applications
✓ Optimize DSP algorithms using fixed-point techniques

Requirements
● Basic understanding of digital systems or programming
● No prior DSP experience required
● A desire to apply DSP in embedded projects
● No specialized hardware

Files:

[ WebToolTip.com ] Udemy - Digital Signal Processing for Embedded Applications
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Foundations of Digital Signal Processing
    • 1. Section Intro Section.html (7.8 KB)
    • 1. Which of the following best explains why DSP processing requires specialized har.html (18.0 KB)
    • 2. What happens when a signal is sampled at a frequency lower than the Nyquist rate.html (17.8 KB)
    • 2. Why DSP is Different Specialized vs. General Computing.en_US.srt (7.8 KB)
    • 2. Why DSP is Different Specialized vs. General Computing.mp4 (66.8 MB)
    • 3. Sampling & Quantization The Foundation of DSP.en_US.srt (7.2 KB)
    • 3. Sampling & Quantization The Foundation of DSP.mp4 (35.6 MB)
    • 3. You need to sample a 3 kHz vibration signal. Which sampling rate is most appropr.html (17.8 KB)
    • 4. Section Summary.html (6.1 KB)
    • 5. Reading Material.html (6.0 KB)
    2 - Signal Analysis in Time and Frequency Domains
    • 1. Embedded DSP Filtering and Performance Optimization (Description).html (0.9 KB)
    • 1. Embedded DSP Filtering and Performance Optimization.html (78.2 KB)
    • 10. Reading Material.html (6.0 KB)
    • 4. Which operation describes the output of a linear time-invariant (LTI) system giv.html (17.8 KB)
    • 5. What is the primary advantage of using the FFT instead of directly computing the.html (17.8 KB)
    • 6. Section Intro.html (7.5 KB)
    • 7. Time Domain Analysis in Digital Systems.en_US.srt (8.7 KB)
    • 7. Time Domain Analysis in Digital Systems.mp4 (51.8 MB)
    • 8. Fast Fourier Transform (FFT) in Practice.en_US.srt (9.7 KB)
    • 8. Fast Fourier Transform (FFT) in Practice.mp4 (84.6 MB)
    • 9. Section Summary.html (6.1 KB)
    3 - Designing & Optimizing DSP Filters
    • 11. Section Intro.html (7.2 KB)
    • 12. Designing FIR & IIR Filters for Embedded Systems.en_US.srt (8.7 KB)
    • 12. Designing FIR & IIR Filters for Embedded Systems.mp4 (76.7 MB)
    • 13. How Adaptive Filters Work in Real-Time Applications.en_US.srt (7.0 KB)
    • 13. How Adaptive Filters Work in Real-Time Applications.mp4 (62.7 MB)
    • 14. Section Summary.html (6.1 KB)
    • 15. Reading Material.html (5.9 KB)
    • 6. Which of the following is a key advantage of FIR filters over IIR filters in emb.html (17.9 KB)
    • 7. What role does the parameter μ (mu) play in the LMS adaptive filter.html (17.8 KB)
    4 - Performance Optimization Techniques
    • 10. Which change most effectively reduces CPU load in a real-time FFT pipeline.html (17.8 KB)
    • 16. Section Intro.html (7.3 KB)
    • 17. Fixed-Point Optimization Techniques.en_US.srt (9.3 KB)
    • 17. Fixed-Point Optimization Techniques.mp4 (112.9 MB)
    • 18. Hardware Acceleration for DSP Concepts and Use Cases.en_US.srt (10.8 KB)
    • 18. Hardware Acceleration for DSP Concepts and Use Cases.mp4 (99.3 MB)
    • 19. Section Summary.html (6.1 KB)
    • 2. Advanced DSP Design and Optimization Review (Description).html (0.9 KB)
    • 2. Advanced DSP Design and Optimization Review.html (78.0 KB)
    • 20. Reading Material.html (5.7 KB)
    • 8. Why is fixed-point arithmetic commonly used in embedded DSP systems.html (17.8 KB)
    • 9. Which of the following best describes the purpose of SIMD instructions in DSP ap.html (17.9 KB)
    5 - Bonus lecture
    • 21. Bonus Lecture.en_US.srt (53.7 KB)
    • 21. Bonus Lecture.mp4 (630.0 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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