Discrete Time Channels

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Covers the concept of sphere packing and its significance in time shifts and Nyquist criterion.

Covers the decoding process of convolutional codes and the analysis of eye diagrams.

Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.

Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.

Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.

Covers the analysis of stationary waveforms and the importance of achieving stationarity in signal processing.

Explores neural signals, EMG processing, muscle synergies, and prosthetic control using advanced signal processing techniques.

Covers the introduction of Convolutional Coder, explaining its structure and operation.

Covers the process of EMG data analysis and signal inversion for further analysis.

Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.