Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries
Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries
In many applications, one may acquire a composition of several signals that may be corrupted by noise, and it is a challenging problem to reliably separate the components from one another without sacrificing significant details. Adding to the challenge, in a compressive sensing framework, one is given only an undersampled …