Compressive sampling experiments

Author

Roppel, Carsten ; Danz, Martin

Author_Institution

Fac. of Electr. Eng., Univ. of Appl. Sci. Schmalkalden, Schmalkalden, Germany

fYear

2014

fDate

11-12 Sept. 2014

Firstpage

90

Lastpage

94

Abstract

Compressive sampling theory describes methods to reconstruct signals sampled at sub-Nyquist rates. The theory assumes that the signals are sparse in the frequency domain or in the time domain and requires a random sampling process. This paper describes compressive sampling experiments using a 6 Msps ADC (THS1206) and a C6000 DSP. The sampling instants are defined by pseudorandom binary sequences. The input signals used in our experiments are sine signals and binary phase-shift keying (BPSK) signals.

Keywords

analogue-digital conversion; binary sequences; compressed sensing; frequency-domain analysis; phase shift keying; random sequences; signal reconstruction; signal sampling; time-domain analysis; BPSK signal; C6000 DSP; THS1206 ADC; binary phase shift keying signal; compressive sampling experiment; frequency domain; pseudorandom binary sequence; random sampling process; sine signal; sparse signal sampling reconstruction method; subNyquist rate; time domain; Binary phase shift keying; Clocks; Discrete cosine transforms; Frequency-domain analysis; MATLAB; Nonuniform sampling; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Education and Research Conference (EDERC), 2014 6th European Embedded Design in

Conference_Location

Milano

Print_ISBN

978-1-4799-6841-1

Type

conf

DOI

10.1109/EDERC.2014.6924365

Filename

6924365