21 citations · 92 across the 9 of their papers we have counts for
9 papers
Compressed Sensing Based Direct Conversion Receiver With Interference Reducing Sampling
Jacek Pierzchlewski, Thomas Arildsen, Torben Larsen
This paper describes a direct conversion receiver applying compressed sensing with the objective to relax the analog filtering requirements seen in the traditional architecture. Th…
Model-Based Calibration of Filter Imperfections in the Random Demodulator for Compressive Sensing
Pawel Jerzy Pankiewicz, Thomas Arildsen, Torben Larsen
The random demodulator is a recent compressive sensing architecture providing efficient sub-Nyquist sampling of sparse band-limited signals. The compressive sensing paradigm requir…
Compressive Sensing for Spread Spectrum Receivers
Karsten Fyhn, Tobias Lindstrøm Jensen, Torben Larsen +1
With the advent of ubiquitous computing there are two design parameters of wireless communication devices that become very important power: efficiency and production cost. Compress…
Blahut-Arimoto Algorithm and Code Design for Action-Dependent Source Coding Problems
Kasper Fløe Trillingsgaard, Osvaldo Simeone, Petar Popovski +1
The source coding problem with action-dependent side information at the decoder has recently been introduced to model data acquisition in resource-constrained systems. In this pape…
Compressed Sensing with Linear Correlation Between Signal and Measurement Noise
Thomas Arildsen, Torben Larsen
Existing convex relaxation-based approaches to reconstruction in compressed sensing assume that noise in the measurements is independent of the signal of interest. We consider the…
Improving Smoothed l0 Norm in Compressive Sensing Using Adaptive Parameter Selection
Christian Schou Oxvig, Patrick Steffen Pedersen, Thomas Arildsen +1
Signal reconstruction in compressive sensing involves finding a sparse solution that satisfies a set of linear constraints. Several approaches to this problem have been considered…
Demodulating Subsampled Direct Sequence Spread Spectrum Signals using Compressive Signal Processing
Karsten Fyhn, Thomas Arildsen, Torben Larsen +1
We show that to lower the sampling rate in a spread spectrum communication system using Direct Sequence Spread Spectrum (DSSS), compressive signal processing can be applied to demo…
Fast and Power Efficient Sensor Arbitration: Physical Layer Collision Recovery of Passive RFID Tags
Karsten Fyhn, Rasmus M. Jacobsen, Petar Popovski +2
This work concerns physical layer collision recovery for cheap sensors with allowed variations in frequency and delay of their communications. The work is presented as a generic, c…
Reliable Identification of RFID Tags Using Multiple Independent Reader Sessions
Rasmus Jacobsen, Karsten Fyhn Nielsen, Petar Popovski +1
Radio Frequency Identification (RFID) systems are gaining momentum in various applications of logistics, inventory, etc. A generic problem in such systems is to ensure that the RFI…