Lectures related to Waveguides: Modes and Propagation

Electromagnetic Waves in Plasma MOOC: Plasma Physics: Applications

Explores electromagnetic waves in plasma, covering dispersion, fluid equations, wave geometry, and light propagation in the ionosphere.

Dielectric Waveguides: Modes and Dispersion

Explains TE and TM modes, guided modes, multimodal fields, and waveguide dispersion.

Data Compression and Entropy: Compression

Explores lossless data compression techniques, emphasizing efficient message representation and encoding strategies.

Data Compression: Shannon-Fano Algorithm

Explores the Shannon-Fano algorithm for efficient data compression and its applications in lossless and lossy compression techniques.

Entropy and Compression I

Explores entropy theory, compression without loss, and the efficiency of the Shannon-Fano algorithm in data compression.

Data Compression: Entropy Definition

Explores data compression through entropy definition, types, and practical examples, illustrating its role in efficient information storage and transmission.

Data Compression and Entropy: Basics and Introduction

Introduces data compression, entropy, and the importance of reducing redundancy in data.

Compression: introduction MOOC: Information, Computation, Communication: Introduction to computational thinking

Introduces data compression, exploring how redundancy in data can be reduced to achieve smaller file sizes without losing information.

Data Compression and Shannon's Theorem: Huffman Codes

Explores the performance of Shannon-Fano algorithm and introduces Huffman codes for efficient data compression.

Data Compression and Entropy: Conclusion

Covers the definition of entropy, Shannon–Fano algorithm, and upcoming topics.

Information Theory: Review and Mutual Information

Reviews information measures like entropy and introduces mutual information as a measure of information between random variables.

Neural Signal Compression

Explores analog-to-digital conversion, neural signal optimization, multichannel architectures, and on-chip compression techniques in neuroengineering.

Optical Fiber Waveguides

Explores optical fiber waveguides, covering modes of propagation, single-mode, multimode fibers, manufacturing, and applications in data transmission.

JPEG XS & JPEG XL: Next-Gen Image Compression

Explores the cutting-edge JPEG XS and JPEG XL image compression standards, emphasizing their efficiency and versatility in various applications.

Data Compression and Shannon's Theorem: Recap

Explores entropy, compression algorithms, and optimal coding methods for data compression.

JPEG 2000: Image Compression

Explores image compression principles, focusing on JPEG 2000, covering transform-based coding, quantization, entropy coding, region of interest, error resilience, and software implementations.

Universal Compression: Lempel-Ziv Method

Covers the Universal Compression using the Lempel-Ziv method and demonstrates its superiority over other methods.

Data Compression and Shannon Fano Coding

Explores practical data compression using Shannon Fano coding and the engineering challenges of compressing diverse data types.

Plasma Waves: Propagation and Modes

Explores the propagation and modes of plasma waves, including R- and L-waves, Langmuir waves, and Faraday rotation.

Lossless Compression: Shannon-Fano and Huffman MOOC: Information, Computation, Communication: Introduction to computational thinking

Explores lossless compression using Shannon-Fano and Huffman algorithms, showcasing Huffman's superior efficiency and speed over Shannon-Fano.