  Hundreds of applications utilize frequency response characterization of a
system. Identification of frequency response requires long experimentation
time, use of transformation techniques and other difficulties associated with
isolating the system behavior precisely at individual frequencies. In this
work, we report a hitherto unknown result that can be leveraged to mitigate
these difficulties resulting in a tremendous reduction in the experimentation
time. This result has the possibility of revolutionizing how frequency response
studies are performed.
