Compressed sensing notes

• Classical sampling theory (Nyquist-Shannon framework) 
• Infinite length, continuous-time signals 
• Requires the sample at specific point in time 
• Signal recovery in the form of linear sinc interpolation 
• Compressed sensing framework 
• Finite-dimensional vectors in $\mathbb{R}^n$ 
• Acquires measurements in the form of an inner-products between the signal and a test function 
• Signal recovery achieved using highly nonlinear methods