Compressive sensing-based signal processing method and apparatus

A compressive sensing-based signal processing apparatus, wherein the apparatus comprises:

• a pre-processing unit, configured to determine distribution, of signal components of an input signal on which frequency mixing has been performed, in a baseband spectrum according to spectral distribution of the input signal;
• divide the baseband spectrum according to different signal aliasing patterns formed by the distribution of the signal components, to form multiple frequency bands on the baseband spectrum, wherein each of the frequency bands corresponds to one signal aliasing pattern;
• and determine lowest sampling frequency of the input signal according to the signal aliasing patterns in the frequency bands;
• a sampling unit, configured to perform sampling on the input signal at sampling frequency greater than the lowest sampling frequency determined by the pre-processing unit, to obtain a sampled signal;
• and
• a reconstruction unit, configured to separately restore, according to the sampled signal obtained by the sampling unit, a corresponding signal component in each frequency band of the multiple frequency bands that are formed by the pre-processing unit, and splice the signal components restored in the frequency bands, to complete restoration of the input signal.

A compressive sensing-based signal processing apparatus, wherein the apparatus comprises:

• a processor, a transceiver, and a memory, wherein
• the transceiver is configured to interact with another apparatus and receive an input signal;
• the memory is configured to store a program;
• and
• the processor is configured to invoke the program stored in the memory, to perform the following steps:
• determining distribution, of signal components of the input signal on which frequency mixing has been performed, in a baseband spectrum according to spectral distribution of the input signal;
• dividing the baseband spectrum according to different signal aliasing patterns formed by the distribution of the signal components, to form multiple frequency bands, wherein each of the frequency bands corresponds to one signal aliasing pattern;
• determining lowest sampling frequency of the input signal according to the signal aliasing patterns in the frequency bands, and performing sampling on the input signal at sampling frequency greater than the lowest sampling frequency, to obtain a sampled signal;
• and
• separately restoring a corresponding signal component in each frequency band of the multiple frequency bands according to the sampled signal, and splicing the signal components restored in the frequency bands, to complete restoration of the input signal.