Sparse Fourier Transform Algorithm for Real-Time Applications

Explore the Sparse Fourier Transform algorithm and its applications in real-time decision making through this 44-minute lecture by Haitham Hassanieh from the University of Illinois Urbana-Champaign. Delve into the fundamentals of Fast Fourier Transform before examining the Sparse Fourier Transform and its algorithms. Investigate the spectrum crisis and dynamic spectrum access, focusing on real-time spectrum sensing and sparse recovery techniques. Learn how the algorithm works, including bucketing, collision handling, and real-time receiver implementation. Discover applications in millimeter-wave wireless networks, addressing challenges such as phase shifters and carrier frequency offset. Gain insights into random hashing techniques used in this cutting-edge approach to signal processing and spectrum management.

Introduction
Fast Fourier Transform
Sparse Fourier Transform
Algorithms
Spectrum Crisis
Dynamic Spectrum Access
RealTime Spectrum Sensing
Sparse Recovery
How does it work
How to bucket eyes
Collisions
RealTime Receiver
millimeter wave
wireless networks
phase shifters
carrier frequency offset
random hashing