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In this paper, we develop new models and methods for exploring multidimensional design spaces associated with digital predistortion (DPD) systems. DPD systems are important components for power amplifier linearization in wireless communication transceivers. In contrast to conventional DPD implementation methods, which are focused on optimizing a single objective — most commonly, the adjacent channel...
In order to estimate parameters of Gaussian autoregressive processes, Burg method is often used in case of stationarity for its efficiency when few samples are available. We are interested in the case when multiple inhomogeneous (not necessarily Gaussian) segments of time series are available. We then study robust modification of Burg algorithms, especially based on Frechet medians defined for the...
For many nonlinear estimation problems, classical lower bounds such as the Cramer-Rao bound (CRB) can characterize the mean squared error (MSE) performance only in the asymptotic region. While more powerful bounds like the Ziv-Zakai bound (ZZB) can also predict the best MSE performance in the nonasymptotic region, they may complicate the computation to an unaffordable extent. In this paper, for estimators...
This paper presents a very early evaluation and comparison of GPM Level 3 IMERGHH and TRMM3B42V7 final products from 2014/4/1 to 2015/3/31 at daily scale over whole Mekong River Basin (MRB). Daily observation data from 53 in situ rainfall gauges is obtained to do the pixel-point comparison. Two aspects (rainfall amount and occurrence) were taken to evaluate the performance of these two satellite precipitation...
Memetic algorithms (MAs), which have materialized as a fusion of population based global search and individual lifetime learning (i.e., local search) in the literature, have been widely used in real world applications to solve complex optimization problems. The balance of global and local search in MA plays a key role in defining the performance of MA in problem solving. The probabilistic memetic...
Many variations of Monte Carlo tree search have been proposed and tested but relatively little comparison of these variants have occurred. In this study an Agent Case Embedding analysis and agglomorative hierarchical clustering was performed using eight variants of Monte Carlo Tree Search as agents and eight games as cases. This allowed us to compare the variant's abilities on each of the games to...
In order to provide reliable information on the instantaneous field-of-view considered in hyperspectral images through spectral unmixing, understanding the kind of mixture that occurs over each pixel plays a crucial role. In this paper, a new method for fast detection of linear mixtures is introduced. The proposed method does not need statistical information and performs an a priori test on the spectral...
A novel estimation algorithm is introduced for logistic regression model with nonnegative coefficients constraints. The basic idea is to decompose the model parameters as a vector of convex coefficients (the multinomial manifold) and a scaling parameter, which are then optimized alternatively based on the maximum likelihood cost function. The first and second order Riemannian geometry of the multinomial...
One of the main aims of lifelong learning architectures is to efficiently and reliably cope with the stability-plasticity dilemma. A viable solution of this dilemma combines a static offline classifier, which preserves ground knowledge that should be respected during training, with an incremental online learning of new or specific information encountered during use. A feasible realisation has been...
Monitoring and maintaining acceptable Quality of Experience for end-users are main purposes for video service providers. Multicast network error transmission can critically degrade the perceived visual quality. This paper presents a novel no-reference video quality estimation using spatial and temporal perceptual activity over multicast IEEE 802.11n. This allows real-time monitoring and detection...
In this paper we present a new approach for the automatic reconstruction of seismic horizons and the generation of a pseudo-geological time cube. Our method can accomodate user constraints and relies on the computation of a local Riemannian metric on the seismic image, whose geodesic lines correspond to seismic horizons. The parameterization chosen in our method eases some of the restrictions imposed...
Ground-based and shipborne Communications ESM systems operating in the VHF and UHF bands have been typically based on arrays designed accordingly to regular geometries. Prominent example are Uniform Circular Arrays (UCAs). Unfortunately, UCAs are not easily installable on small or narrow platforms, as it is in the case of UAVs; this is due also to the long wavelengths of the signals in the VHF band...
A metric direct (feature-less) online monocular SLAM algorithm is proposed, which, different from the traditional monocular SLAM algorithm, can obtain the absolute scale of the world. A calibrate object is used to calculate the relative pose of the first key frame and initialize the depth map, introducing the metric scale into the reconstruction meanwhile. Highly accurate pose estimation is achieved...
Embedded system design is subject to many constraints with strong influence on design objectives and architectures. Designers of embedded systems need to consider the desired functionality together with cost constraints, and also with other quality metrics. The paper presents a simplified model for early estimation of system quality based on metrics such as hardware costs and operation speed. The...
This paper proposes a novel and highly scalable multistage packet-switch design based on Networks-on-Chip (NoC). In particular, we describe a three-stage Clos packet-switch fabric with a Round-Robin packets dispatching scheme where each central stage module is an Output-Queued Unidirectional NoC (OQ-UDN), instead of the conventional single-hop crossbar. We test the switch performance under different...
Objective measures of speech quality are attractive because they facilitate performance assessment of hearing aids (HAs) without the need for human listeners. Objective speech quality predictions are usually performed intrusively, wherein the “closeness” between the reference and HA output speech recordings is quantified. In this paper, we focus on nonintrusive estimation of HA speech quality based...
Depression is considered as a psychosomatic state associated with the soft biometric features. People suffering from depression always behave abnormal. Depression is a clinically proven disorder that can overwhelm a person and his ability to perform even a simple task. Soft biometric provides important information about a person without being enough for their verification because they lack uniqueness...
Radar sea clutter inhomogeneity in range is characterized by Doppler mean and spectrum width variations. We propose a new approach for robust statistical density estimation and segmentation of sea clutter Doppler spectrum. In each range cell, Doppler is characterized by a Toeplitz Hermitian Positive Definite covariance matrix that is coded in Poincaré's unit poly-disk and we use adaptation of standard...
Vehicular Ad hoc Network (VANET) is emerging as a new technology to support safety, entertainment, and traffic efficiency applications in smart transportation systems. Since VANET is a subclass of Mobile Ad hoc Network (MANET), performance of MANET routing protocols when applied to VANET have been studied extensively during the last years. One of the most interesting areas is applying geographic routing...
Image merging is a process of obtaining one image from multiple. The resulting image carries more information about the photographed scene, than each of the originals. Such an image can be more useful when we deal with human or image processing system. Algorithms that performed this task are used in a wide applying in practical: computer vision, robotics, medicine, forensics, etc. The most popular...
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