Singular Value Decomposition

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# Singular Value Decomposition - PowerPoint PPT Presentation

Singular Value Decomposition. Speaker : 詹承洲 Advisor : Prof. Andy Wu Date : 2008/01/22. Outline. Introduction to Singular Value Decomposition Problem Statement What You Will Learn Expected Results. Motivation. Singular Value Decomposition. Noise is not noise only anymore

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### Singular Value Decomposition

Speaker : 詹承洲

Advisor : Prof. Andy Wu

Date : 2008/01/22

Outline
• Introduction to Singular Value Decomposition
• Problem Statement
• What You Will Learn
• Expected Results
Singular Value Decomposition
• Noise is not noise only anymore
• Collect the desired signals respectively instead of eliminating them
Applications
• OFDM MIMO systems
• IEEE 802.11n (Wi-Fi)
• Antenna arrays
Problem Statement
• Algorithm domain:
• Too complex computations
• Theoretical convergence problem
• No uniform solution
• Architecture domain :
• Large hardware complexity
• High-speed issue
• High power consumption
What You Will Learn
• Matrix computations
• Various SVD processing algorithms
• Evaluation of the performance of SVD algorithms
Expected Results
• Paper survey and acquaintance with SVD process
• Simulation for SVD algorithms
• Propose or modify existing SVD algorithms
Background Needed
• Linear algebra
• C or Matlab programming
• Probability (Optional)
• DSP or Communication Systems (Optional)
• Enthusiasm