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Lecture
Convolutional Codes: Decoding and Eye Diagrams
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Convolutional Coder Introduction
Covers the introduction of Convolutional Coder, explaining its structure and operation.
Principles of Digital Communication
Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.
Channel Coding: Convolutional Codes
Explores channel coding with a focus on convolutional codes, emphasizing error detection, correction, and decoding processes.
Introduction to Signals and Filters
Covers the conversion of analog signals to digital, data compression, and signal reconstruction, highlighting the significance of signal processing in communication systems.
Channel Coding and BICM (LLRs)
Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.
Filtering and Sampling of Signals
Explores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.
Passband Communications Design
Covers the design of passband communications and the use of recipies and complex-valued signals.
Convolutional Codes: Mapping Symbols and Paths
Covers Convolutional Codes, focusing on mapping symbols and paths.
Designing Convolutional Codes
Covers the art of designing convolutional codes to improve communication rate.
Sampling and Reconstruction
Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.