| Jan 18 |
Introduction |
https://youtu.be/SGUCcjHTmGY |
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| (game demo starts ~ 12m) |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L1.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/L1_slides.pdf |
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| Jan 23 |
🟢 Linear algebra 1 |
Vector space, linear independence, Ax = b |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L2.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/pre_notes/L2_pre_notes.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L2_post_notes.pdf |
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https://courses.grainger.illinois.edu/ece434/sp2023/mp/MP1_data_visualization.zip |
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| Jan 25 |
🟢 Linear algebra 2 |
Solve Ax=b, singular A, null space, orthogonal vectors. |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L3.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/pre_notes/L3_pre_notes.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L3_post_notes.pdf |
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| Jan 30 |
🟢 Linear algebra 3 |
Basis, Dimension, Norm, etc. |
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| Least squares, Eigenvectors. |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L4.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/pre_notes/L4_pre_notes.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L4_post_notes.pdf |
https://courses.grainger.illinois.edu/ece434/sp2023/hw/HW1.pdf |
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| Feb 1 |
🟢 Signals processing 1 |
Eigenbasis, Diagonalization |
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| Discrete Fourier Transform (DFT) |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L5.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/pre_notes/L5_pre_notes.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L5_post_notes.pdf |
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| Feb 6 |
🟢 Signals processing 2 |
DFT equation. IDFT. Magnitude and phase. Example (Cos) |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L6.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/pre_notes/L6_pre_notes.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L6_post_notes.pdf |
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MP1 due |
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| Feb 8 |
🟢 Signals processing 3 |
Examples ($e^x$, Sin), real FFT, freq. resolution, N-point FFT, incomplete cycle, STFT |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L7.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/pre_notes/L7_pre_notes.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L7_post_notes.pdf |
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| Feb 13 |
🟢 Signals processing 4 |
Properties of DFT (linear, symmetric, shift), Nyquist |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L8.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/pre_notes/L8_pre_notes.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L8_post_notes.pdf |
HW1 due |
https://courses.grainger.illinois.edu/ece434/sp2023/mp/MP2_DUET.zip |
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| Feb 15 |
🟡 Source Separation algorithm: DUET |
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| Mixing matrix, underdetermined system, DUET algorithm |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L9.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/pre_notes/L9_pre_slides.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L9_post_slides.pdf |
https://courses.grainger.illinois.edu/ece434/sp2023/hw/HW2.pdf |
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| Feb 20 |
🟢 Probability and random vectors to data |
Random vectors, data as random vectors, correlated/independent |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L10.mp4 |
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| http://croy.web.engr.illinois.edu/teach_global_videos/ProbabilityTip.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/pre_notes/L10_pre_notes.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L10_post_notes.pdf |
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| Feb 22 |
🟢 Probability and random vectors to data |
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| 🟡 Trilateration, Signal detection (correlation) |
Data statistics, conditional indep., GPS, trilateration |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L11.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L11_post_notes_a.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L11_post_notes_b.pdf |
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| Feb 27 |
🟡 Frequency Modulated Carrier Wave (FMCW) |
Cross-correlation. |
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| Sine sweep, mixing, FMCW |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L12.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L12_post_notes.pdf |
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| see demo https://youtu.be/uJkQzLjYBFI |
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MP2 due |
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| https://courses.grainger.illinois.edu/ece434/sp2023/mp/MP3_PDR.zip |
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| Mar 1 |
🟡 3D pedestrian dead reckoning (PDR) algorithms |
IMU data, 3D orientation |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L13.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L13_post_slides.pdf |
HW2 due |
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| Mar 6 |
🟢 Singular Value Decomposition (SVD) |
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| 🟡 Recommendation algorithm |
A = $U \Sigma V^T$ , collaborative filtering, eigen-users |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L14.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L14_post_notes.pdf |
https://courses.grainger.illinois.edu/ece434/sp2023/hw/HW3.pdf |
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| Mar 8 |
🟢 SVD proofs, PCA, Gradient Descent |
Proofs in SVD, PCA, Hessian, convex functions, PSD, GD |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L15a.mp4 |
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| https://courses.grainger.illinois.edu/ece434/sp2023/videos/L15b.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L15_post_notes.pdf |
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| Mar 13 |
Spring break |
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| Mar 15 |
Spring break |
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| Mar 20 |
🟡 Unsupervised Localization (UnLoc) |
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| 🟢 Max. Likelihood (MLE) |
UnLoc iterative algorithm |
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| Max likelihood estimator |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L16.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L16-post-notes.pdf |
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MP3 due |
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| Mar 22 |
🟡 Beamforming, AoA: Delay sum, |
Radiation pattern, near and far field, delay and sum, AoA |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L17.mp4 |
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| https://courses.grainger.illinois.edu/ece434/sp2023/videos/L17_GCC.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/pre_notes/L17_pre_notes.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L17-post-notes.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L17_GCC_notes.pdf |
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https://courses.grainger.illinois.edu/ece434/sp2023/mp/MP4_AoA_BF.zip |
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| Mar 27 |
🟡 Beamforming: GCC, MUSIC |
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| 🟡 Minimum Variance Distortion-less (MVDR) |
MVDR beamformer, Sub-space methods, spatial smoothing |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L18.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/pre_notes/L18_pre_notes.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L18_post_notes.pdf |
HW3 due |
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| Mar 29 |
🟡 Time of Flight (ToF) estimation |
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| 🟡 DS, ADS Two way ranging (TWR) techniques |
ToF from two-way ranging, clock drift, 3-way ranging, ADS-TWR |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L19.mp4 |
https://rrc-uiuc.notion.site/L19-Time-of-Flight-ToF-Estimation-b6c29fb8c70f462894d9b81d219218d5 |
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| Apr 3 |
🟡 Sensor Fusion: Hidden Markov Models (HMM) 1 |
Graphical models, Markov proc., conditional indep., prediction |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L20.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L20_post_notes.pdf |
https://courses.grainger.illinois.edu/ece434/sp2023/hw/HW4.pdf |
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| Apr 5 |
🟡 Hidden Markov Models (HMM) 2 |
Factorization, forward and backward, dynamic program |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L21.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/pre_notes/L21_pre_notes.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L21_post_notes.pdf |
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MP4 due |
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| https://courses.grainger.illinois.edu/ece434/sp2023/mp/MP5_HMM.zip |
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| Apr 10 |
🟡 HMM applications |
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| 🟡 Kalman filters |
HMM applications, Kalman problem setup, Kalman gain |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L22.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L22_post_notes.pdf |
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| Apr 12 |
🟡 Kalman filter |
Predict and update equations |
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| See tutorial https://web.mit.edu/kirtley/kirtley/binlustuff/literature/control/Kalman filter.pdf |
https://courses.grainger.illinois.edu/ece434/sp2023/videos/L23.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L23_post_notes.pdf |
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| Apr 17 |
🔥 Midterm Review |
Review and example questions |
https://illinois.zoom.us/rec/share/I1KN0biDBudplZT5YaDf0MixgLLb_3dUpyKeOzbuJJa2QK0fTTHhS3PwEnMsvVz7.AlGYqtfsWPN-HsPb |
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| Apr 19 |
🔥 Review gradient descent |
Gradient, Hessian, Convex fns, Cauchy Schwarz, GD algo. |
Watch |
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| L15_video2 |
See last 5 pages of |
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| L15_post_notes |
HW4 due |
MP5 due |
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| Apr 24 |
🔥 Midterm |
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https://courses.grainger.illinois.edu/ece434/sp2023/mp/MP6_DTW.zip |
| Apr 26 |
🟡 Dynamic Time Warping (DTW) |
Cost of path, Dynamic program, constraints on admissible paths |
http://courses.grainger.illinois.edu/ece434/sp2023/videos/L26.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L26_post_notes.pdf |
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| May 1 |
🟡 Independent Component Analysis (ICA) |
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| 🟡 Expectation Maximization (EM) |
Independent sources, KL-Div., ICA, Expected Likelihood, EM |
http://courses.grainger.illinois.edu/ece434/sp2023/videos/L27.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L27_post_notes_a.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L27_post_notes_b.pdf |
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| May 3 |
🎉 Videos, Demos, Wrap-up, Open discussion |
Assorted topics |
http://courses.grainger.illinois.edu/ece434/sp2023/videos/L28.mp4 |
http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L28_video_demos.pdf |
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| http://courses.grainger.illinois.edu/ece434/sp2023/notes/post_notes/L29.pdf |
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| May 4 |
Reading day |
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MP6 due |