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Related lectures (32)
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Convolutional Codes: Decoding and Performance Analysis
Covers the decoding and performance analysis of convolutional codes in communication systems.
Convolutional Codes: Decoding and Eye Diagrams
Covers the decoding process of convolutional codes and the analysis of eye diagrams.
Principles of Digital Communication
Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.
Sphere Packing
Covers the concept of sphere packing and its significance in time shifts and Nyquist criterion.
Convolutional Coder Introduction
Covers the introduction of Convolutional Coder, explaining its structure and operation.
Designing Convolutional Codes
Covers the art of designing convolutional codes to improve communication rate.
Understanding Trade-offs in Communication Systems
Discusses trade-offs in communication systems, focusing on bits sent vs. energy per bit.
Universal Compression: Lempel-Ziv Method
Covers the Universal Compression using the Lempel-Ziv method and demonstrates its superiority over other methods.
Signal Constellations: Design and Analysis
Covers the design and analysis of signal constellations in communication systems.
Discrete Time Channels
Covers discrete time channels and isometric transformations in signal processing.
Data Compression: Source Coding
Covers data compression techniques, including source coding and unique decodability concepts.
Information Theory: Channel Capacity and Convex Functions
Explores channel capacity and convex functions in information theory, emphasizing the importance of convexity.
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