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This page shows you the most recent publications within this specialty of the MedWorm directory. This is page number 13.

Prediction of the Biomechanical Effects of Compression Therapy by Finite Element Modeling and Ultrasound Elastography
Conclusion: This seems to have a marginal impact on pressure maps in the soft tissues of the leg predicted by the FE models. There is still an effect on the reduction of vein diameter induced by elastic compression, which is decreased at active muscle state. Significance: The discussion of this paper highlights the benefits of using elastography to reconstruct patient-specific FE models of soft tissues. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - March 20, 2015 Category: Biomedical Engineering Source Type: research

IEEE Transactions on Biomedical Engineering publication information
Provides a listing of the editorial board, current staff, committee members and society officers. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - March 20, 2015 Category: Biomedical Engineering Source Type: research

Front Cover
Presents the front cover for this issue of the publication. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - March 20, 2015 Category: Biomedical Engineering Source Type: research

Microfluidic-aided genotyping of zebrafish in the first 48 h with 100 % viability.
Abstract This paper introduces an innovative method for genotyping 1-2 days old zebrafish embryos, without sacrificing the life/health of the embryos. The method utilizes microfluidic technology to extract and collect a small amount of genetic material from the chorionic fluid or fin tissue of the embryo. Then, using conventional DNA extraction, PCR amplification, and high resolution melt analysis with fluorescent DNA detection techniques, the embryo is genotyped. The chorionic fluid approach was successful 78 % of the time while the fin clipping method was successful 100 % of the time. Chorionic fluid was shown...
Source: Biomedical Microdevices - March 20, 2015 Category: Biomedical Engineering Authors: Samuel R, Stephenson R, Roy P, Pryor R, Zhou L, Bonkowsky JL, Gale BK Tags: Biomed Microdevices Source Type: research

The RAPIDOS project—European and Chinese collaborative research on biomaterials
Publication date: Available online 20 March 2015 Source:Journal of Orthopaedic Translation Author(s): David Eglin , Mauro Alini , Joost de Bruijn , Julien Gautrot , Dirk W. Grijpma , Lukas Kamer , Yuxiao Lai , Shibi Lu , Ton Peijs , Jian Peng , Ting Ting Tang , Xianluan Wang , Xinjiang Wang , R. Geoff Richards , Ling Qin The research project entitled “rapid prototyping of custom-made bone-forming tissue engineering constructs” (RAPIDOS) is one of the three unique projects that are the result of the first coordinated call for research proposals in biomaterials launched by the European Union Commission and the National...
Source: Journal of Orthopaedic Translation - March 20, 2015 Category: Orthopaedics Source Type: research

Histological image segmentation using fast mean shift clustering method
Conclusions: An effective and reliable histological image segmentation approach is proposed in this paper. It employs improved Mean Shift clustering, which is speed up by using probability density distribution estimation and the integral scheme. (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - March 20, 2015 Category: Biomedical Engineering Authors: Geming WuXinyan ZhaoShuqian LuoHongli Shi Source Type: research

État de l’art en imagerie médicale
Publication date: Available online 20 March 2015 Source:IRBM News Author(s): M. Pommier (Source: IRBM News)
Source: IRBM News - March 20, 2015 Category: Biomedical Engineering Source Type: research

Microstructural Parameter-Based Modeling for Transport Properties of Collagen Matrices
In this study, a new computational method is developed to predict two transport properties, permeability and diffusivity, based on a microstructural parameter, the specific number of interfibril branching points (or branching points). This method consists of the reconstruction of a three-dimensional (3D) fibrous matrix structure based on branching points and the computation of fluid velocity and solute displacement to predict permeability and diffusivity. The computational results are compared with experimental measurements of collagen gels. The computed permeability was slightly lower than the measured experimental values...
Source: Journal of Biomechanical Engineering - March 19, 2015 Category: Biomedical Engineering Source Type: research

Application of a Three-Dimensional Computational Wrist Model to Proximal Row Carpectomy
A three-dimensional (3D) computational model of the wrist examined the biomechanical effects of the proximal row carpectomy (PRC), a surgical treatment of certain wrist degenerative conditions but with functional consequences. Model simulations, replicating the 3D bony anatomy, soft tissue restraints, muscle loading, and applied perturbations, demonstrated quantitatively accurate responses for the decreased motions subsequent to the surgical procedure. It also yielded some knowledge of alterations in radiocarpal contact force which likely increase contact pressure as well as additional insight into the importance of the tr...
Source: Journal of Biomechanical Engineering - March 19, 2015 Category: Biomedical Engineering Source Type: research

Viscoelastic Characterization of the Primate Finger Pad In Vivo by Microstep Indentation and Three-Dimensional Finite Element Models for Tactile Sensation Studies
When we touch an object, surface loads imposed on the skin are transmitted to thousands of specialized nerve endings (mechanoreceptors) embedded within the skin. These mechanoreceptors transduce the mechanical signals imposed on them into a neural code of the incident stimuli, enabling us to feel the object. To understand the mechanisms of tactile sensation, it is critical to understand the relationship between the applied surface loads, mechanical state at the mechanoreceptor locations, and transduced neural codes. In this paper, we characterize the bulk viscoelastic properties of the primate finger pad and show its relat...
Source: Journal of Biomechanical Engineering - March 19, 2015 Category: Biomedical Engineering Source Type: research

1D Measurement of Sodium Ion Flow in Hydrogel After a Bath Concentration Jump.
Abstract NMR is used to measure sodium flow driven by a 1D concentration gradient inside poly-acrylamid (pAA) hydrogel. A sodium concentration jump from 0.5 M NaCl to 0 M NaCl is applied at the bottom of a cylindrical pAA sample. The sodium level and hydrogen level are measured as a function of time and position inside the sample for 5 days. Then a reversed step is applied, and ion flow is measured for another 5 days. During the measurement, the cylindrical sample is radially confined and allowed to swell in the axial direction. At the same time, sodium and moisture in the sample are measured on a 1D spatial grid i...
Source: Annals of Biomedical Engineering - March 19, 2015 Category: Biomedical Engineering Authors: Roos RW, Pel L, Huinink HP, Huyghe JM Tags: Ann Biomed Eng Source Type: research

A speech-based system for the early detection of Alzheimer's disease
(University of the Basque Country ) One of the ELEKIN group's lines of research is biomedical engineering. They are developing biosignal analysis systems to help medical staff who make diagnoses. Featuring among other projects is the automatic analysis of spontaneous speech: a smart, non-invasive diagnostic technique for the early detection of Alzheimer's. ELEKIN is collaborating with various players and universities to develop methodologies for the early detection of this and other disorders. (Source: EurekAlert! - Biology)
Source: EurekAlert! - Biology - March 18, 2015 Category: Biology Source Type: news

Estimating Periodicities in Symbolic Sequences Using Sparse Modeling
In this paper, we propose a method for estimating statistical periodicities in symbolic sequences. Different from other common approaches used for the estimation of periodicities of sequences of arbitrary, finite, symbol sets, that often map the symbolic sequence to a numerical representation, we here exploit a likelihood-based formulation in a sparse modeling framework to represent the periodic behavior of the sequence. The resulting criterion includes a restriction on the cardinality of the solution; two approximate solutions are suggested—one greedy and one using an iterative convex relaxation strategy to ease th...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing
Both theoretical analysis and empirical evidence confirm that the approximate message passing (AMP) algorithm can be interpreted as recursively solving a signal denoising problem: at each AMP iteration, one observes a Gaussian noise perturbed original signal. Retrieving the signal amounts to a successive noise cancellation until the noise variance decreases to a satisfactory level. In this paper, we incorporate the Stein's unbiased risk estimate (SURE) based parametric denoiser with the AMP framework and propose the novel parametric SURE-AMP algorithm. At each parametric SURE-AMP iteration, the denoiser is adaptively optim...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Robust Consensus in the Presence of Impulsive Channel Noise
A distributed average consensus algorithm robust to a wide range of impulsive channel noise distributions is proposed. This work is the first of its kind in the literature to propose a consensus algorithm which relaxes the requirement of finite moments on the communication noise. It is shown that the nodes reach consensus asymptotically to a finite random variable whose expectation is the desired sample average of the initial observations with a variance that depends on the step size of the algorithm and the receiver nonlinear function. The asymptotic performance is characterized by deriving the asymptotic covariance matri...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Compressive Imaging via Approximate Message Passing With Image Denoising
We consider compressive imaging problems, where images are reconstructed from a reduced number of linear measurements. Our objective is to improve over existing compressive imaging algorithms in terms of both reconstruction error and runtime. To pursue our objective, we propose compressive imaging algorithms that employ the approximate message passing (AMP) framework. AMP is an iterative signal reconstruction algorithm that performs scalar denoising at each iteration; in order for AMP to reconstruct the original input signal well, a good denoiser must be used. We apply two wavelet-based image denoisers within AMP. The firs...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Block-Skew-Circulant Matrices in Complex-Valued Signal Processing
Two main lines of approach can be identified in the recent literature on improper signals and widely linear operations. The augmented complex formulation based on the signal and its complex conjugate is considered as more insightful since it leads to convenient mathematical formulations for many considered problems. Moreover, it allows an easy distinction between proper and improper signals as well as between linear and widely linear operations. On the other hand, the composite real representation using the real and imaginary parts of the signal is closer to the actual implementation, and it allows to readily reuse results...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Causal Recursive Parameter Estimation for Discrete-Time Hidden Bivariate Markov Chains
An algorithm for causal recursive parameter estimation of a discrete-time hidden bivariate Markov chain is developed. In this model, a discrete-time bivariate Markov chain is observed through a discrete-time memoryless channel. The algorithm relies on the EM-based recursive approach developed by Stiller and Radons for hidden Markov models. A distinct advantage of the discrete-time hidden bivariate Markov chain model is that the sojourn time distribution of its observable process in each state is phase-type rather than geometric as in the hidden Markov model. Phase-type distributions can approximate any desired sojourn time...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Identification of Linear Time-Varying Systems Through Waveform Diversity
Linear, time-varying (LTV) systems composed of time shifts, frequency shifts, and complex amplitude scalings are operators that act on continuous finite-energy waveforms. This paper presents a novel, resource-efficient method for identifying the parametric description of such systems, i.e., the time shifts, frequency shifts, and scalings, from the sampled response to linear frequency modulated (LFM) waveforms, with emphasis on the application to radar processing. If the LTV operator is probed with a sufficiently diverse set of LFM waveforms, then the system can be identified with high accuracy. In the case of noiseless mea...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

MIMO Radar Transmit Beampattern Matching Design
In this paper, a novel transmit beampattern matching design method is proposed for a multiple-input multiple-output (MIMO) radar system. Whereas previous approaches first solve the correlation matrix $R$ and then use $R$ to design the transmit signal $S$, the proposed one-step method obtains the transmit signal $S$ directly through solving the waveform matrix $P$. Since MIMO radar transmit beampattern matching design is an inverse problem of the transmit beampattern, in this paper, we first discuss some important properties of the transmit beampattern and standardize the beampattern matching design problem. We then theoret...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Optimal Resource Allocation for Detection of a Gaussian Process Using a MAC in WSNs
We analyze a binary hypothesis testing problem built on a wireless sensor network (WSN) for detecting a stationary random process distributed both in space and time with a circularly-symmetric complex Gaussian distribution under the Neyman–Pearson (NP) framework. Using an analog scheme, the sensors transmit different linear combinations of their measurements through a multiple access channel (MAC) to reach the fusion center (FC), whose task is to decide whether the process is present or not. Considering an energy constraint on each node transmission and a limited amount of channel uses, we compute the miss error exp...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

A Multiple-Detection Probability Hypothesis Density Filter
Most conventional target tracking algorithms assume that one target can generate at most one detection per scan. However, in many practical target tracking applications, one target may generate multiple detections in one scan, because of multipath propagation, or high sensor resolution or some other reason. If the multiple detections from the same target can be effectively utilized, the performance of the multitarget tracking system can be improved. However, the challenge is that the uncertainty in the number of targets and the measurement set-to-target association will increase the complexity of tracking algorithms. To so...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing
For the problem of binary linear classification and feature selection, we propose algorithmic approaches to classifier design based on the generalized approximate message passing (GAMP) algorithm, recently proposed in the context of compressive sensing. We are particularly motivated by problems where the number of features greatly exceeds the number of training examples, but where only a few features suffice for accurate classification. We show that sum-product GAMP can be used to (approximately) minimize the classification error rate and max-sum GAMP can be used to minimize a wide variety of regularized loss functions. Fu...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Cross-Correlation-Based, Phase-Domain Spectrum Sensing With Low-Cost Software-Defined Radio Receivers
This paper describes a highly sensitive spectrum sensing system based on a cross-correlation technique that employs low-cost software-defined radio receivers. By multiplying two data streams received by duplicated receivers and averaging the outputs, a cross-correlation system is able to suppress uncorrelated noise at the cost of measurement time. In this paper, phase-domain detection is proposed to determine whether or not a radio signal is present without any knowledge of signal features. The robustness of our method to noise uncertainty has been verified in both theoretical analyses and simulations. The sensing system h...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Generalized Selection Combining for Cognitive Relay Networks Over Nakagami-$m$ Fading
We consider transmit antenna selection with receive generalized selection combining (TAS/GSC) for cognitive decode-and-forward (DF) relaying in Nakagami-$m$ fading channels. In an effort to assess the performance, the probability density function and the cumulative distribution function of the end-to-end SNR are derived using the moment generating function, from which new exact closed-form expressions for the outage probability and the symbol error rate are derived. We then derive a new closed-form expression for the ergodic capacity. More important, by deriving the asymptotic expressions for the outage probability and the...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Robust Transmit Code and Receive Filter Design for Extended Targets in Clutter
We propose a novel robust design method to jointly optimize the radar transmit code and receive filter, exploiting the Signal-to-Interference plus Noise Ratio (SINR) at the receiver end as design figure of merit. We confer robustness to our method against uncertainties on the target impulse response (TIR) using a worst-case optimization approach based on two different uncertainty sets. The former is composed of a finite collection of TIRs, obtained by sampling the actual TIR at some aspect angles; the latter is a spherical uncertainty set. We further enforce a peak-to-average power ratio (PAR) constraint to the transmit co...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Online and Offline Bayesian Cramér–Rao Bounds for Time-Varying Channel Estimation in One-Way Relay Networks
In this paper, we examine the Bayesian Cramér–Rao lower bounds (BCRBs) for the channel estimation in an amplify-and-forward (AF) one-way relay network (OWRN) under the time-selective flat-fading scenario, where the superimposed training is adopted at the relay node in order to achieve the individual channel estimation. We formulate the nonlinear dynamic state space for the individual channels and derive the online/offline BCRBs for the fully data-aided (FDA) channel estimator and the partially data-aided (PDA) estimator. The former estimator has full knowledge about the symbols from both the source and the re...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Spectrum Sensing Under RF Non-Linearities: Performance Analysis and DSP-Enhanced Receivers
Intermodulation products arise as a result of low noise amplifier (LNA) and mixer non-linearities in wideband receivers. In the presence of strong blockers, the intermodulation distortion can deteriorate the spectrum sensing performance by causing false alarms and degrading the detection probability. We theoretically analyze the impact of third-order non-linearities on the detection and false alarm probabilities for both energy detectors and cyclostationary detectors under front-end LNA non-linearities. We show that degradation of the detection performance due to nonlinearities of both energy and cyclostationary detection ...
Source: IEEE Transactions on Signal Processing - March 17, 2015 Category: Biomedical Engineering Source Type: research

Umbilical Cord Blood-Derived Mononuclear Cells Exhibit Pericyte-Like Phenotype and Support Network Formation of Endothelial Progenitor Cells In Vitro.
Abstract Umbilical cord blood represents a promising cell source for pro-angiogenic therapies. The present study examined the potential of mononuclear cells (MNCs) from umbilical cord blood to support endothelial progenitor cell (EPC) microvessel formation. MNCs were isolated from the cord blood of 20 separate donors and selected for further characterization based upon their proliferation potential and morphological resemblance to human vascular pericytes (HVPs). MNCs were screened for their ability to support EPC network formation using an in vitro assay (Matrigel™) as well as a reductionist, coculture system co...
Source: Annals of Biomedical Engineering - March 17, 2015 Category: Biomedical Engineering Authors: Peters EB, Liu B, Christoforou N, West JL, Truskey GA Tags: Ann Biomed Eng Source Type: research

Liver-Tumor Hybrid Organoids for Modeling Tumor Growth and Drug Response In Vitro.
In this study, we created liver-based cell organoids in a rotating wall vessel bioreactor. The organoids were further inoculated with colon carcinoma cells in order to create liver-tumor organoids for in vitro modeling of liver metastasis. Immunofluorescent staining revealed notable phenotypic differences between tumor cells in 2D and inside the organoids. In 2D they displayed an epithelial phenotype, and only after transition to the organoids did the cells present with a mesenchymal phenotype. The cell surface marker expression results suggested that WNT pathway might be involved in the phenotypic changes observed between...
Source: Annals of Biomedical Engineering - March 17, 2015 Category: Biomedical Engineering Authors: Skardal A, Devarasetty M, Rodman C, Atala A, Soker S Tags: Ann Biomed Eng Source Type: research

Biomechanical Characterization of a Model of Noninvasive, Traumatic Anterior Cruciate Ligament Injury in the Rat.
This study employed four loading profiles to induce ACL injury, in which motion capture analysis was performed, followed by quantitative joint laxity testing. High-speed, high-displacement loading repeatedly induces complete ACL injury, which causes significant increases in anterior-posterior and varus laxity. No loading protocol induced valgus laxity. Tibial internal rotation and anterior subluxation occurs up to the point of ACL failure, after which the tibia rotates externally as it subluxes over the femoral condyles. High displacement was more determinative of ACL injury compared to high speed. Low-speed protocols indu...
Source: Annals of Biomedical Engineering - March 17, 2015 Category: Biomedical Engineering Authors: Maerz T, Kurdziel MD, Davidson AA, Baker KC, Anderson K, Matthew HW Tags: Ann Biomed Eng Source Type: research

Design optimization study of a shape memory alloy active needle for biomedical applications
To date, many biomedical devices have utilized the pseudoelastic properties of advanced, active and adaptive materials such as coronary stents, eyeglasses and orthodontic wires [1]. The actuation properties of the active materials have also attracted a lot of attention, especially in medical devices such as active cardiac catheters [2], artificial muscles [3] and cochlea implants [4]. Shape memory alloys (SMAs), well known smart materials, have become increasingly popular in various applications due to their ability to remember their initial shape. (Source: Medical Engineering and Physics)
Source: Medical Engineering and Physics - March 15, 2015 Category: Biomedical Engineering Authors: Bardia Konh, Mohammad Honarvar, Parsaoran Hutapea Source Type: research

Comparing passive angle–torque curves recorded simultaneously with a load cell versus an isokinetic dynamometer during dorsiflexion stretch tolerance assessments
When skeletal muscles are passively stretched, the resistance recorded is thought to reflect tension from the series and parallel elastic components of the muscle–tendon unit [1]. Specifically, factors such as resting filamentary tension; resistance from non-contractile proteins of the sarcomeric cytoskeletons; deformation of the epimysium, endomysium, and predominantly the perimysium [1-3]; and the debatable extensibility of tendons and aponeuroses [1,2,4,5] have all been hypothesized as contributors to the passive properties of a muscle–tendon unit. (Source: Medical Engineering and Physics)
Source: Medical Engineering and Physics - March 15, 2015 Category: Biomedical Engineering Authors: Samuel L. Buckner, Nathaniel D.M. Jenkins, Pablo B. Costa, Eric D. Ryan, Trent J. Herda, Joel T. Cramer Tags: Technical note Source Type: research

Editorial: Scaffolds for Regenerative Medicine: A Special Issue of the Annals of Biomedical Engineering.
PMID: 25773983 [PubMed - as supplied by publisher] (Source: Annals of Biomedical Engineering)
Source: Annals of Biomedical Engineering - March 15, 2015 Category: Biomedical Engineering Authors: Hunziker R, Lumelsky N, Wang F Tags: Ann Biomed Eng Source Type: research

Quantification of nanoparticle endocytosis based on double fluorescent pH-sensitive nanoparticles.
Abstract Amorphous silica is a particularly interesting material because of its inertness and chemical stability. Silica nanoparticles have been recently developed for biomedical purposes but their innocuousness must be carefully investigated before clinical use. The relationship between nanoparticles physicochemical features, their uptake by cells and their biological activity represents a crucial issue, especially for the development of nanomedicine. This work aimed at adapting a method for the quantification of nanoparticle endocytosis based on pH-sensitive and double fluorescent particles. For that purpose, sil...
Source: Biomedical Microdevices - March 14, 2015 Category: Biomedical Engineering Authors: Kurtz-Chalot A, Klein JP, Pourchez J, Boudard D, Bin V, Sabido O, Marmuse L, Cottier M, Forest V Tags: Biomed Microdevices Source Type: research

Effects of heat conduction on the spatial selectivity of infrared stimulation in the cochlea
Conclusions: The heat conduction affects the laser spatial selectivity however, by adjusting the stimulation schemes of the laser pulse-trains, such as laser repetition rate and laser power, the laser selectivity can be optimized. (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - March 14, 2015 Category: Biomedical Engineering Authors: Kaiyin ZhangYue MaYunfei ZhouQiuling Wang Source Type: research

Characterisation of Elastic and Acoustic Properties of an Agar-Based Tissue Mimicking Material.
Abstract As a first step towards an acoustic localisation device for coronary stenosis to provide a non-invasive means of diagnosing arterial disease, measurements are reported for an agar-based tissue mimicking material (TMM) of the shear wave propagation velocity, attenuation and viscoelastic constants, together with one dimensional quasi-static elastic moduli and Poisson's ratio. Phase velocity and attenuation coefficients, determined by generating and detecting shear waves piezo-electrically in the range 300 Hz-2 kHz, were 3.2-7.5 ms(-1) and 320 dBm(-1). Quasi-static Young's modulus, shear modulus and Pois...
Source: Annals of Biomedical Engineering - March 14, 2015 Category: Biomedical Engineering Authors: Brewin MP, Birch MJ, Mehta DJ, Reeves JW, Shaw S, Kruse C, Whiteman JR, Hu S, Kenz ZR, Banks HT, Greenwald SE Tags: Ann Biomed Eng Source Type: research

Recursive Total Least-Squares Algorithm Based on Inverse Power Method and Dichotomous Coordinate-Descent Iterations
We develop a recursive total least-squares (RTLS) algorithm for errors-in-variables system identification utilizing the inverse power method and the dichotomous coordinate-descent (DCD) iterations. The proposed algorithm, called DCD-RTLS, outperforms the previously proposed RTLS algorithms, which are based on the line-search method, with reduced computational complexity. We perform a comprehensive analysis of the DCD-RTLS algorithm and show that it is asymptotically unbiased as well as being stable in the mean. We also find a lower bound for the forgetting factor that ensures mean-square stability of the algorithm and calc...
Source: IEEE Transactions on Signal Processing - March 13, 2015 Category: Biomedical Engineering Source Type: research