Machine Learning Basics

Fundamentals

Comprehensive coverage: Bayes, Factor Models, PPCA, SSL, PAC Learning, Bias-Variance, SGDM, Legendre Transform, MALA, Hyperbolic Space

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Machine Learning Tools

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a man riding a skateboard down the side of a ramp
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black blue and yellow textile
Q-Learning

Enabling cognitive radios to learn optimal spectrum access strategies through reinforcement learning

Region-based CNN

Region-based CNNs for signal detection, spectrum anomaly identification, and wireless sensing applications

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Machine Learning for Wireless Communication

Advanced LSTM implementation for automatic modulation classification with extended architecture details, performance analysis, and real-world applications.

RNN for Wireless Signal Detection

Leveraging temporal patterns in received signals using Recurrent Neural Networks for robust symbol detection.

LSTM vs OFDM BER Curve in AWGN

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NR PUSCH Receiver with LSTM

PUSCH with LSTM

Complete TX, Channel, and RX design with interactive demonstrations, mathematical derivations, and simulation results.

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Paper Discussion

Paper -1
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black blue and yellow textile
a man riding a skateboard down the side of a ramp
a man riding a skateboard down the side of a ramp
white concrete building during daytime
white concrete building during daytime
Coming Soon

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Paper -2

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Paper -3

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Coming Soon
Coming Soon