1. A method for acquiring a frequency hopped signal with no prior knowledge about the frequency hopped signal, the method comprising: receiving a radio frequency (RF) signal at a receiver; converting the RF signal into a stream of digital signal levels; identifying energy detections in the stream of digital signal levels as possible hops of the frequency hopped signal; blindly acquiring a feature set for defining the frequency hopped signal from the energy detections by: acquiring shape features from the energy detections by determining signal bandwidth, dwell, and absolute power and performing a shape maximum likelihood classification to determine a likelihood that the energy detections belong to a same feature set without comparing to any predetermined parameters; acquiring frequency features from the energy detections by determining a signal center frequency, a frequency, a total bandwidth, and channel spacing for each energy detection and performing a frequency maximum likelihood classification to determine a likelihood that the energy detections belong to a same feature set without comparing to any predetermined parameters; and identifying at least one feature set from the shape maximum likelihood classification and from the frequency maximum likelihood classification; generating at least one waveform classification based on the at least one feature set; directly acquiring energy detections from the RF signal based on the waveform classification; and reporting the at least one waveform classification as the frequency hopped signal.