COMPRESSIVE SENSING: Recover the original signals and extract useful parameters from the compressed domain. 10-1000x more energy-efficient.
MACHINE LEARNING: Find the relationships embedded in huge data set. Provide guidance for decision making in the future.
MATHEMATICAL FINANCE: Apply signal processing and machine learning algorithms to the financial date. Reveal the hidden patterns in the market.
COMPUTER VISION: Enhance the image quality; combine multiple images; extract meaning full features; and store images more efficiently
EMBEDDED SYSTEM: Write device drivers to enable control from the user space. Leverage different modules in SoC to accomplish complex tasks.
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