Applications of compressed sensing: Compression and encryption

In this paper we present two applications for the concept of compressed sensing (CS), one of the newest signal processing techniques. CS can be applied to compress the ECG signals (with the advantage of very low computational complexity at compression stage) as well as to encrypt signals for transmission over insecure channels. For compression are analyzed the results obtained using standard wavelet dictionaries. For the encryption application is analyzed the influence of the projection matrix.