Udemy - Multiple Signal Classification (MUSIC) for DoA

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size809 MB
  • Uploaded Byfreecoursewb
  • Downloads1
  • Last checkedFeb. 12th '26
  • Date uploadedFeb. 12th '26
  • Seeders 1
  • Leechers3

Infohash : 9E14B817912F5B7ED2983F2E0F13FDD1153FA3FC

Multiple Signal Classification (MUSIC) for DoA

https://WebToolTip.com

Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 12m | Size: 810 MB

Understand the MUSIC algorithm for DoA through phased arrays, covariance analysis, and fixed-point modeling

What you'll learn
Understand the MUSIC algorithm and its processing stages for direction-of-arrival estimation
Model MUSIC processing blocks using fixed-point arithmetic and analyze quantization effects
Evaluate precision–performance trade-offs in fixed-point signal processing implementations
Validate fixed-point models against floating-point reference implementations
Prepare fixed-point models for later FPGA and HLS-based implementation

Requirements
Basic knowledge of digital signal processing and linear algebra is recommended. Familiarity with Python is required.

Files:

[ WebToolTip.com ] Udemy - Multiple Signal Classification (MUSIC) for DoA
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1. Introduction.mp4 (35.5 MB)
    • 2. Environment Setup & Workflow.mp4 (5.7 MB)
    • 2. requirements txt.txt (0.2 KB)
    2 - MUSIC for DoA Theory
    • 3. Phased Arrays Foundation.mp4 (23.7 MB)
    • 3. music sim 0 py.py (4.3 KB)
    • 4. MUSIC Algorithm Overview.mp4 (41.8 MB)
    • 4. live covariance py.py (4.1 KB)
    • 4. live music py.py (6.1 KB)
    • 5. Covariance Matrix.mp4 (41.2 MB)
    • 5. live unitary py.py (5.1 KB)
    • 6. Jacobi Eigenvalue Algorithm.mp4 (48.6 MB)
    • 7. CORDIC Algorithm.mp4 (61.5 MB)
    • 7. live cordic py.py (10.3 KB)
    • 8. MUSIC Pseudospectrum.mp4 (14.0 MB)
    3 - Fixed point Modeling
    • 10. Jacobi Rotations Model.mp4 (141.2 MB)
    • 10. cordic py.py (3.1 KB)
    • 10. covariance py.py (4.6 KB)
    • 10. jacobi fpga py.py (10.6 KB)
    • 10. jacoby py.py (6.0 KB)
    • 11. CORDIC Model.mp4 (89.3 MB)
    • 11. cordic fpga py.py (9.1 KB)
    • 11. cordic py.py (3.1 KB)
    • 12. MUSIC Denominator Model.mp4 (115.7 MB)
    • 12. spectrum fpga py.py (6.2 KB)
    • 12. spectrum py.py (5.4 KB)
    • 13. MUSIC Algorithm Model.mp4 (69.9 MB)
    • 13. cordic py.py (3.1 KB)
    • 13. covariance py.py (4.6 KB)
    • 13. jacoby py.py (6.0 KB)
    • 13. music fpga py.py (6.0 KB)
    • 13. spectrum py.py (5.4 KB)
    • 9. Covariance Matrix Model.mp4 (94.4 MB)
    • 9. covariance fpga py.py (6.1 KB)
    • 9. covariance py.py (4.6 KB)
    4 - Additional Resources
    • 14. Bonus Lecture.mp4 (26.4 MB)
    • 14. Extended Practical Workshops and Implementation Resources.url (0.0 KB)
    • Bonus Resources.txt (0.1 KB)

Code:

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