1,899 research outputs found
Approximation of L\"owdin Orthogonalization to a Spectrally Efficient Orthogonal Overlapping PPM Design for UWB Impulse Radio
In this paper we consider the design of spectrally efficient time-limited
pulses for ultrawideband (UWB) systems using an overlapping pulse position
modulation scheme. For this we investigate an orthogonalization method, which
was developed in 1950 by Per-Olov L\"owdin. Our objective is to obtain a set of
N orthogonal (L\"owdin) pulses, which remain time-limited and spectrally
efficient for UWB systems, from a set of N equidistant translates of a
time-limited optimal spectral designed UWB pulse. We derive an approximate
L\"owdin orthogonalization (ALO) by using circulant approximations for the Gram
matrix to obtain a practical filter implementation. We show that the centered
ALO and L\"owdin pulses converge pointwise to the same Nyquist pulse as N tends
to infinity. The set of translates of the Nyquist pulse forms an orthonormal
basis or the shift-invariant space generated by the initial spectral optimal
pulse. The ALO transform provides a closed-form approximation of the L\"owdin
transform, which can be implemented in an analog fashion without the need of
analog to digital conversions. Furthermore, we investigate the interplay
between the optimization and the orthogonalization procedure by using methods
from the theory of shift-invariant spaces. Finally we develop a connection
between our results and wavelet and frame theory.Comment: 33 pages, 11 figures. Accepted for publication 9 Sep 201
Land Mobile Radio Systems - A Tutorial Exposition
An in-depth tutorial on land mobile radio system
A versatile design for resonant guided-wave parametric down-conversion sources for quantum repeaters
Quantum repeaters - fundamental building blocks for long-distance quantum
communication - are based on the interaction between photons and quantum
memories. The photons must fulfil stringent requirements on central frequency,
spectral bandwidth and purity in order for this interaction to be efficient. We
present a design scheme for monolithically integrated resonant photon-pair
sources based on parametric down-conversion in nonlinear waveguides, which
facilitate the generation of such photons. We investigate the impact of
different design parameters on the performance of our source. The generated
photon spectral bandwidths can be varied between several tens of MHz up to
around GHz, facilitating an efficient coupling to different memories. The
central frequency of the generated photons can be coarsely tuned by adjusting
the pump frequency, poling period and sample temperature and we identify
stability requirements on the pump laser and sample temperature that can be
readily fulfilled with off-the-shelve components. We find that our source is
capable of generating high-purity photons over a wide range of photon
bandwidths. Finally, the PDC emission can be frequency fine-tuned over several
GHz by simultaneously adjusting the sample temperature and pump frequency. We
conclude our study with demonstrating the adaptability of our source to
different quantum memories.Comment: 10 pages, 8 figure
Feedback Acquisition and Reconstruction of Spectrum-Sparse Signals by Predictive Level Comparisons
In this letter, we propose a sparsity promoting feedback acquisition and
reconstruction scheme for sensing, encoding and subsequent reconstruction of
spectrally sparse signals. In the proposed scheme, the spectral components are
estimated utilizing a sparsity-promoting, sliding-window algorithm in a
feedback loop. Utilizing the estimated spectral components, a level signal is
predicted and sign measurements of the prediction error are acquired. The
sparsity promoting algorithm can then estimate the spectral components
iteratively from the sign measurements. Unlike many batch-based Compressive
Sensing (CS) algorithms, our proposed algorithm gradually estimates and follows
slow changes in the sparse components utilizing a sliding-window technique. We
also consider the scenario in which possible flipping errors in the sign bits
propagate along iterations (due to the feedback loop) during reconstruction. We
propose an iterative error correction algorithm to cope with this error
propagation phenomenon considering a binary-sparse occurrence model on the
error sequence. Simulation results show effective performance of the proposed
scheme in comparison with the literature
Single-atom imaging of fermions in a quantum-gas microscope
Single-atom-resolved detection in optical lattices using quantum-gas
microscopes has enabled a new generation of experiments in the field of quantum
simulation. Fluorescence imaging of individual atoms has so far been achieved
for bosonic species with optical molasses cooling, whereas detection of
fermionic alkaline atoms in optical lattices by this method has proven more
challenging. Here we demonstrate single-site- and single-atom-resolved
fluorescence imaging of fermionic potassium-40 atoms in a quantum-gas
microscope setup using electromagnetically-induced-transparency cooling. We
detected on average 1000 fluorescence photons from a single atom within 1.5s,
while keeping it close to the vibrational ground state of the optical lattice.
Our results will enable the study of strongly correlated fermionic quantum
systems in optical lattices with resolution at the single-atom level, and give
access to observables such as the local entropy distribution and individual
defects in fermionic Mott insulators or anti-ferromagnetically ordered phases.Comment: 7 pages, 5 figures; Nature Physics, published online 13 July 201
On Optimal Turbo Decoding of Wideband MIMO-OFDM Systems Under Imperfect Channel State Information
We consider the decoding of bit interleaved coded modulation (BICM) applied
to both multiband and MIMO OFDM systems for typical scenarios where only a
noisy (possibly very bad) estimate of the channel is provided by sending a
limited number of pilot symbols. First, by using a Bayesian framework involving
the channel a posteriori density, we adopt a practical decoding metric that is
robust to the presence of channel estimation errors. Then this metric is used
in the demapping part of BICM multiband and MIMO OFDM receivers. We also
compare our results with the performance of a mismatched decoder that replaces
the channel by its estimate in the decoding metric. Numerical results over both
realistic UWB and theoretical Rayleigh fading channels show that the proposed
method provides significant gain in terms of bit error rate compared to the
classical mismatched detector, without introducing any additional complexity
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