Concept

MIMO

Related lectures (32)

Explores MIMO capacity, spatial multiplexing, matched filter, and power normalization in wireless communication systems.

MIMO RAKE Receiver: Simulation and MIMO Extension

Covers the implementation of IS-95 forward-link and MIMO extension.

MIMO Detection

Covers MIMO receivers, linear detectors, interference cancellation, and performance analysis in advanced wireless communications.

Spatial Multiplexing in MIMO Channels

Explores spatial multiplexing in MIMO channels to enhance data rates and system performance through multiple antennas.

MIMO Receivers

Covers the system model, linear receivers, performance evaluation, and graphical interpretations of MIMO receivers, including maximum likelihood detection and successive interference cancellation.

IS-95 with MIMO Simulation

Covers the IS-95 CDMA standard implementation with MIMO simulation and project guidelines.

Low Complexity MIMO ML Receivers

Explores MIMO spatial multiplexing, ML detection, receivers with fading, tree representation, and sphere decoding.

Soft-Output MIMO Detection

Explores the performance of soft-output linear detection in wireless communication systems and the complexity of MIMO detection algorithms.

Eigenvalue Assignment in Multivariable Control

Explores Ackermann's formula and methods for eigenvalue assignment in multivariable control systems.

Coding Theorem: Proof and Properties

Covers the proof and properties of the coding theorem, focusing on maximizing the properties of lx and the achievable rate.

Channel Coding: Theory & Coding

Covers the formation theory and coding, focusing on channel capacity and concave functions.

Information Theory: Entropy and Capacity

Covers concepts of entropy, Gaussian distributions, and channel capacity with constraints.

Information Theory and Coding: Source Coding

Covers source coding, encoder design, and error probability analysis in information theory and coding.

Random Coding: Achievability and Proof Variants

Explores random coding achievability and proof variants in information theory, emphasizing achievable rates and architectural principles.

Communication Channels: Encoding and Decoding

Explores encoding and decoding techniques in communication systems, focusing on fundamental limits and mutual information computations.

Error Correction Codes: Theory and Applications

Covers error correction codes theory and applications, emphasizing the importance of minimizing distance for reliable communication.

Communication Channels: Gaussian Noise and Capacity

Explores the capacity of communication channels with Gaussian noise and noise impact.

Information Theory: Source Coding

Covers source coding, typical sequences, stationarity, and efficient encoding in information theory.

Untitled

Information Theory and Coding

Covers source coding, Kraft's inequality, mutual information, Huffman procedure, and properties of tropical sequences.