1:16:06[11] Course-project example Cyclic Hamming code matrix design and code testing (2025)Elans Grabs (Konnektor)48 views·1 year ago
1:15:37[09] Course Project calculations Source coding and Channel CapacityElans Grabs (Konnektor)86 views·1 year ago
1:01:20[07] Course project Spectrum calculation for BASK, BFSK and BPSKElans Grabs (Konnektor)50 views·1 year ago
49:41[05] Decomposition of signals into harmonic base functionsElans Grabs (Konnektor)37 views·1 year ago
1:23:47[PE06] Principal Component Analysis and Reinforcement LearningElans Grabs (Konnektor)97 views·1 year ago
1:19:26[09] Examples Training Neural Networks and BackpropagationElans Grabs (Konnektor)136 views·1 year ago
1:28:46[PE05] Training neural networks for classificationElans Grabs (Konnektor)360 views·2 years ago
1:52:59[11] BER simulation for non-linear equalizers. Part 2Elans Grabs (Konnektor)171 views·2 years ago
56:14[11] Additional material on Viterbi function. BER simulation for non-linear equalizers.Elans Grabs (Konnektor)71 views·2 years ago
57:42[11] BER simulation for non-linear equalizers. Part 1Elans Grabs (Konnektor)134 views·2 years ago
![[11] Course-project example Cyclic Hamming code matrix design and code testing (2025)](https://i.ytimg.com/vi/4BerZYVtCA4/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhyIDcoOjAP&rs=AOn4CLASM3L51wPOB69iJsoKPHwO90kzUw)
![[09] Course Project calculations Source coding and Channel Capacity](https://i.ytimg.com/vi/dTRUvgboVL0/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhNIGUoYTAP&rs=AOn4CLCmmkZxzl2oWdGA-6xyaEHVbBcsQA)
![[07] Spectrum Bandwidth](https://i.ytimg.com/vi/UTuUrdWel1c/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhyIEMoSjAP&rs=AOn4CLADvXBJl4PMIB3XGdYIljslOsEfnA)
![[08] Z-transform and Digital Filters](https://i.ytimg.com/vi/o5tKeBLWGaQ/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhyIEQoTDAP&rs=AOn4CLAtQnft_PWcw1YMGVOc6FfXrGV1YQ)
![[PE01] Sampling, DFT and reconstruction](https://i.ytimg.com/vi/WGZf4loB3cM/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhkIGQoZDAP&rs=AOn4CLAMxL2j87pthlH7V8S-UeDkrY8c4Q)
![[07] Course project Spectrum calculation for BASK, BFSK and BPSK](https://i.ytimg.com/vi/JBEkWSn3m-U/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARgTIFwocjAP&rs=AOn4CLAhE8JC5wxFo25TFG0QU1iqvDn8BQ)
![[06] Discrete Fourier Transform](https://i.ytimg.com/vi/0XL29eERFcU/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhDIFAoZTAP&rs=AOn4CLDMv_Ww-fvAvr7YET2cd3CS3QITpQ)
![[05] Decomposition of signals into harmonic base functions](https://i.ytimg.com/vi/GXux7G1KLHU/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhyIEQoTDAP&rs=AOn4CLCf79bAv6_GWFdV_n2HQJ5MQKumYg)
![[PE0] Introduction to Matlab and signals](https://i.ytimg.com/vi/8MAle2-tROc/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhNIGUoYTAP&rs=AOn4CLDTuYG_G81ar91koCzS6f4YIIYVCA)
![[PE01] Detection of pulse and BASK data in noise](https://i.ytimg.com/vi/Wth3Yr-0zsE/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARgTIFkofzAP&rs=AOn4CLDpF3ZyPV9Y5vlnZ-g5Tpr6OsDcCQ)
![[02] Digital signals and sampling](https://i.ytimg.com/vi/L1rDncDv4fU/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhlIGUoZTAP&rs=AOn4CLDrbp7enpVzdpI3aEIVvBTz7uAlaQ)
![[PE06] Principal Component Analysis and Reinforcement Learning](https://i.ytimg.com/vi/AFwWfIuTbOU/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhlIGUoZTAP&rs=AOn4CLCOkiUcw1YIAeMjVmUNGJeORlQGEQ)
![[13] Reinforced Machine Learning](https://i.ytimg.com/vi/PORydujAF8c/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhpIGkoaTAP&rs=AOn4CLAtvblYuYg3HHOfNRfLqU0rI1gdmA)
![[12] Dimensionality reduction](https://i.ytimg.com/vi/6So_zU50Q-w/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhfIF8oXzAP&rs=AOn4CLA46TzuoVIdkgonPsWM7qx2uwYVWQ)
![[11] Unsupervised Machine Learning methods](https://i.ytimg.com/vi/PSpz3P8-2Oc/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhdIF0oXTAP&rs=AOn4CLCl92mlhv6euBg8dxtCOeW7DiZYLw)
![[06] Multi-class logistic regression.](https://i.ytimg.com/vi/9cqyPU6qY1I/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhaIGEoZTAP&rs=AOn4CLCwZ3iA6nHmWXnMJpSs7pCAM8W5Ng)
![[09] Examples Training Neural Networks and Backpropagation](https://i.ytimg.com/vi/ZpeQPTuLkxs/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhlIGUoZTAP&rs=AOn4CLCHQXB1XiAPygGKHfb-ia7QxXW37w)
![[07] Intro to Artificial Neural Networks](https://i.ytimg.com/vi/QtK-qeOg3Fw/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhlIGUoZTAP&rs=AOn4CLA8B9aGxFhPSVKOy4SZavREBgiVVA)
![[05] Logistic regression and binary classification](https://i.ytimg.com/vi/QvPNUPtysa4/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhdIF0oXTAP&rs=AOn4CLBbTAldykSd1SwN1CurLmggH7V23g)
![[03] Linear regression with multiple variables](https://i.ytimg.com/vi/5cO3I0_mOPw/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARg4IFIofzAP&rs=AOn4CLAFx3P5VoOBHoWKYMjc7Ktp_vSBYQ)
![[01] Linear regression with a single variable](https://i.ytimg.com/vi/g1FqLUi8SDI/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhXIGAoZTAP&rs=AOn4CLBwx71slp-9jwjdVK48HukuJBnQDw)
![[00] Introduction to Machine Learning](https://i.ytimg.com/vi/xmXkK-i5IV0/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARheIF4oXjAP&rs=AOn4CLDE0_eKVKBpfZk6mA8bGVm4wQCHng)
![[PE05] Training neural networks for classification](https://i.ytimg.com/vi/wqJtswS2sT4/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhlIGUoZTAP&rs=AOn4CLBxeABrp4onnyxz1j0iTU9ue9Ojpw)
![[12] RAKE receiver and its simulation](https://i.ytimg.com/vi/vhhBJbrxNYU/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARgeIFgofzAP&rs=AOn4CLDo9au4KbChIwXMjF6_Jxx5gnXgfw)
![[11] BER simulation for non-linear equalizers. Part 2](https://i.ytimg.com/vi/SsL9wm_eXws/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARgeIFMofzAP&rs=AOn4CLB5FP4lX-iXu5zwFKLgVTtGpnWoBw)
![[11] Additional material on Viterbi function. BER simulation for non-linear equalizers.](https://i.ytimg.com/vi/Sff-RvK1dVQ/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhPIFwoZTAP&rs=AOn4CLAI8RJT1vNu6JuIlrgNjiWthBoH_Q)
![[11] BER simulation for non-linear equalizers. Part 1](https://i.ytimg.com/vi/VwAFYcIBcOQ/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARgTIFAofzAP&rs=AOn4CLB4T9rfrPPKI9-Rp8_ay-UPQgcjWw)
![[08] Non-Linear Viterbi Detector Equalizer](https://i.ytimg.com/vi/sJrmXSX5ZIE/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhTIFwoZTAP&rs=AOn4CLC1IrWMjcjFJJWXs8o66epq3kALOQ)
![[07] Equalizing QAM-16 channel IR. Part 2](https://i.ytimg.com/vi/RChQdPveDlE/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARgxIFkocjAP&rs=AOn4CLDpdQJ8EquLbzEQz3I6wd2CbO2ixw)
![[08] Non-linear equalizers and Viterbi algorithm](https://i.ytimg.com/vi/xE1QOjFR_wE/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB_gmAAtAFigIMCAAQARhlIFooYDAP&rs=AOn4CLDjH0f6WUZHk56wn-lAT5Wma9l_8g)