Signal Processing - May 2017 - 7

However, the outage performance of
NOMA depends critically on the choices of the users' targeted data rates and
allocated power.
December 2014

Fairness for Non-Orthogonal
Multiple Access in 5G Systems
Timotheou, S.; Krikidis, I.
The authors study nonorthogonal multiple access from a fairness standpoint and
investigate power allocation techniques
that ensure fairness for the downlink
users under 1) instantaneous channel
state information (CSI) at the transmitter
and 2) average CSI. They have developed low-complexity polynomial algorithms for these nonconvex problems
that yield the optimal solution in both
cases considered.
October 2015

Robust Edge-Stop Functions for
Edge-Based Active Contour Models
in Medical Image Segmentation
Pratondo, A.; Chui, C.-K.; Ong, S.-H.
In this paper, authors propose a framework to construct a group of edge-stop
functions (ESFs) for edge-based active
contour models to segment objects with
poorly defined boundaries. In this framework, which incorporates gradient information as well as probability scores from
a standard classifier, the ESF can be constructed from any classification algorithm
and applied to any edge-based model
using a level set method.
February 2016

Discrete Anamorphic Transform
for Image Compression
Asghari, M.H.; Jalali, B.
The authors introduce a physics-based
transform that enables image compression by increasing the spatial coherency.
They also present the stretched modulation distribution, a new density function
that provides the recipe for the proposed
image compression.
July 2014

An Adaptive Motion Model
for Person Tracking with
Instantaneous Head-Pose Features
Baxter, R.H.; Leach, M.J.V.; Mukherjee,
S.S.; Robertson, N.M.

This letter presents novel behavior-based
tracking of people in low resolution using
instantaneous priors mediated by head
pose. The authors extend the Kalman filter to adaptively combine motion information with an instantaneous prior belief
about where the person will go based on
where they are currently looking.
May 2015

Empirical Mode Decomposition
as a Filter Bank
Flandrin, P.; Rilling, G.; Goncalves, P.
This paper reports on numerical experiments empirical mode decomposition
(EMD) based on fractional Gaussian
noise. In such a case, it turns out that
EMD acts essentially as a dyadic filter
bank resembling those involved in wavelet decompositions. It is also pointed out
that the hierarchy of the extracted modes
may be similarly exploited for getting
access to the Hurst exponent.
February 2004

An Experimental Study on
Speech Enhancement Based on
Deep Neural Networks

This letter presents a regression-based
speech enhancement framework using
deep neural networks with a multiplelayer deep architecture. A series of pilot
experiments were conducted under multicondition training with more than 100 h
of simulated speech data, resulting in a
good generalization capability even in
mismatched testing conditions.
January 2014

Fast Matrix Inversion Updates
for Massive MIMO Detection and
Precoding
Rosário, F.; Monteiro, F.A.; Rodrigues, A.
In this letter, the authors propose an onthe-fly method to recompute the zero
forcing filter when a user is added or
removed from massive multiple-input,
multiple-output system. They evaluate the
recalculation of the inverse matrix after a
new channel estimation is obtained for a
given user. With fewer operations, the performance after an update also remains
close to the initial one.
January 2016

Xu, Y.; Du, J.; Dai, L.-R.; Lee, C.-H.

2018-2019

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Table of Contents for the Digital Edition of Signal Processing - May 2017