Any signal is sparse in some domain like Fourier, DCT, or Wavelet. So we can compress a signal in that domain. Compressed sensing utilises this by using random projections for sampling. The measurement (or sampling) is minimal and it uses L1 optimisation or greedy methods for reconstruction(determining all under-determined vector in the algebraic equation). A typical application is a single pixel camera, to understand this process.