The Analog-information System Based on Compressive Sense
Yonggang Hu · Wanxi Xueyuan xuebao · 2011
According to Nyquist sampling theorem,a band-limited signal cannot be well reconstructed unless sampling frequency is least double top frequency of original signal,which will generate a tremendous amount of data and inflict great pressure on signal acquisition and transmission.These problems can be efficiently solved by Compressive sense theory-through finite random measurement of certain basis sparse signal at reception terminal,not only a transmission data that is much smaller than that of Nyquist sampling,but also a accurate reconstruction at high probability at the reception terminal can be obtained.Analog-information system provides a physical implementation process for front of this theory.