Concept
Microsoft Azure
Related lectures (32)
Designing Convolutional Codes
Covers the art of designing convolutional codes to improve communication rate.
Gaussian Random Vectors
Explores Gaussian random vectors and their statistical properties, emphasizing the importance of specifying statistical properties in complex valued random vectors.
Convolutional Codes: Mapping Symbols and Paths
Covers Convolutional Codes, focusing on mapping symbols and paths.
Complex Gaussian Signals
Delves into complex Gaussian signals and their properties in communication systems.
Sufficient Statistics: Hypothesis Testing
Covers the concept of sufficient statistics and hypothesis testing in reading assignments by Emre Telatar.
Gaussian Processes: Designing Receivers
Covers the theory behind Gaussian processes and the design of receivers using MAP calculations.
Binary Testing: Observations and Proposals
Covers binary testing setups, observations, and proposals for next week's readings.
AI4Science at Microsoft: Catalyst Design & Material Discovery
Explores AI4Science at Microsoft, focusing on catalyst design, reaction mechanisms, and material discovery using Clifford algebra.
Convolutional Codes: Decoding and Eye Diagrams
Covers the decoding process of convolutional codes and the analysis of eye diagrams.
Linear Algebra: Spanning and Combining Vectors
Covers the concept of spanning and combining vectors in a product space.