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A mixed l p,0-regularized recursive total least squares (RTLS) algorithm is considered for group sparse system identification. Regularized recursive least squares (RLS) has been successfully applied to group sparse system identification; however, the estimation performance in regularized RLS-based algorithms deteriorates when both input and output are contaminated by noise (the error-in-variables problem). We propose an l p,0-RTLS algorithm to handle group sparse system identification with errors-in-variables. The proposed algorithm is an RLS-like solution that utilizes l p,0-regularization. The proposed algorithm provides excellent performance as well as reduces the required complexity by effective inversion matrix handling. Simulations demonstrate the superiority of the proposed l p,0-regularized RTLS for a group sparse system identification setting. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Introduction Charcot-Marie-Tooth neuropathy ( CMT) is a genetically heterogeneous group of peripheral neuropathies. In addition to the classical clinical phenotype, additional features can occur. Methods We studied a wide range of additional features in a cohort of 49 genetically confirmed CMT patients and performed a systematic literature revision. Results Patients harbored a PMP22 gene alteration ( n = 28) or a mutation in MPZ ( n = 11), GJB1 ( n = 4), LITAF ( n = 2), MFN2 ( n = 2), INF2 ( n = 1), NEFL ( n = 1). We identified four novel mutations (3 MPZ, 1 GJB1). A total of 88% presented at least one additional feature. In MPZ patients, we detected hypertrophic nerve roots in 3/4 cases that underwent spinal MRI, and pupillary abnormalities in 27%. In our cohort, restless legs syndrome ( RLS) was present in 18%. We describe for the first time RLS associated with LITAF or MFN2 and predominant upper limb involvement with LITAF. Cold-induced hand cramps occurred in 10% ( PMP22, MPZ, MFN2), and autonomous nervous system involvement in 18% ( PMP22, MPZ, LITAF, MFN2). RLS and respiratory insufficiency were mostly associated with severe neuropathy, and pupillary abnormalities with mild to moderate neuropathy. Conclusions In CMT patients, additional features occur frequently. Some of them might be helpful in orienting genetic diagnosis. Our data broaden the clinical spectrum and genotype-phenotype associations with CMT. [ABSTRACT FROM AUTHOR]

The main objective of this study is to compensate channel distortions in GPS-Aided GEO Augmented Navigation (GAGAN) applications by means of adaptive equalization. Positional accuracy of GAGAN system is basically dependent on ranging errors and satellite constellation geometry. Further, this study focuses on enhancing the phenomena ofinstrumental biases and GAGAN augmentation. [ABSTRACT FROM AUTHOR]

The authors report the cumulative incidence of Restless Legs Syndrome (RLS) over a 3 years follow-up period in 92 de novo Parkinson's disease patients under chronic dopaminergic therapy and the clinical course of the sensory-motor disorder over 12 months as from its onset. The overall cumulative incidence of RLS was found by 15.3 %, i.e. 14 incident cases, and by 11.9 %, i.e. 11 incident cases, after the exclusion of possible 'secondary' forms of the disorder. These figures are higher than those reported in general population in Germany (Study of Health in Pomerania), confirming our previous findings of incidence rate of the disorder. At the end of the 3 years follow-up period the prevalence of 'current' RLS was significantly higher than that previously found in drug naïve Parkinson's disease patients and in controls, supporting the view that RLS emerging in the course of chronic dopaminergic therapy is the main determinant of the co-morbid association with Parkinson's disease. During the 12 months period of observation the RLS showed a frequency of occurrence of 6.08 episodes per month on average and a remittent clinical course was prevailing in the 11 incident cases, with a significant frequency decrease in the second as compared to the first 6 months, i.e. 3.26 versus 8.9 episodes per month, and none of the patients developed augmentation in the same period. It is hypothesized that the remittent course could be due to long-term adaptation (downregulation) of the hypersensitive post-synaptic dopamine receptors in the spinal cord to a continuous dopaminergic stimulation, possibly coupled with compensatory up-regulation of pre-synaptic dopamine re-uptake mechanism, in the patients in which the hypothalamic A11 area, site of origin of the dopamine-mediated diencephalo-spinal pathway, is involved in the neurodegenerative process. [ABSTRACT FROM AUTHOR]

Despite many controversies, the yeast Saccharomyces cerevisiae continues to be used as a model organism for the study of aging. Numerous theories and hypotheses have been created for several decades, yet basic mechanisms of aging have remained unclear. Therefore, the principal aim of this work is to propose a possible mechanism leading to increased longevity in yeast. In this paper, we suggest for the first time that there is a link between decreased metabolic activity, fertility and longevity expressed as time of life in yeast. Determination of reproductive potential and total lifespan with the use of fob1Δ and sfp1Δ mutants allows us to compare the "longevity" presented as the number of produced daughters with the longevity expressed as the time of life. The results of analyses presented in this paper suggest the need for a change in the definition of longevity of yeast by taking into consideration the time parameter. The mutants that have been described as "long-lived" in the literature, such as the fob1Δ mutant, have an increased reproductive potential but live no longer than their standard counterparts. On the other hand, the sfp1Δ mutant and the wild-type strain produce a similar number of daughter cells, but the former lives much longer. Our results demonstrate a correlation between the decreased efficiency of the translational apparatus and the longevity of the sfp1Δ mutant. We suggest that a possible factor regulating the lifespan is the rate of cell metabolism. To measure the basic metabolism of the yeast cells, we used the isothermal microcalorimetry method. In the case of sfp1Δ, the flow of energy, ATP concentration, polysome profile and translational fitness are significantly lower in comparison with the wild-type strain and the fob1Δ mutant. [ABSTRACT FROM AUTHOR]

The paper presents the modification of lattice RLS adaptive filtering algorithms for the case of nonstationary signal processing. The modification includes the using of sliding window and dynamic regularization in the adaptive filter correlation matrix estimation. The algorithms can be implemented by means of sequential or parallel computations. Based on sequential computations, 30 regularized prewindowed, sliding widow and regularized sliding window lattice RLS algorithms were developed. A family of the same algorithms with parallel computations includes 21 units. Lattice algorithms are developed for the application in single-channel adaptive filters with complex-valued weights. Some computation procedures of the algorithms are listed. The results of the algorithm simulation are also presented.

In this paper, a comparative study between a blind algorithm, based on higher order cumulants, and adaptive algorithms, i.e. Recursive Least Squares (RLS) and Least Mean Squares (LMS) for MultiCarrier Code Division Multiple Access (MC-CDMA) systems equalization is presented. Two practical frequency-selective fading channels, called Broadband Radio Access Network (BRAN A, BRAN B) normalized for MC-CDMA systems are considered. In the part of MC-CDMA equalization, the Zero Forcing (ZF) and the Minimum Mean Square Error (MMSE) equalizer techniques were used. The simulation results in noisy environment and for different signal to noise ratio (SNR) demonstrate that the blind algorithm gives approximately the same results obtained by adaptive algorithms. However, the proposed algorithm presents the advantage to estimate the impulse response of these channels blindly except that the input excitation is non-Gaussian, with the low calculation cost, compared with the adaptive algorithms exploiting the information of input and output for the impulse response channel estimation.

Conventional pharmacologic treatment of restless legs syndrome (RLS) may be limited in some people. Up to 65% of patients with RLS regularly use alternative practices for symptom relief. We reviewed the current clinical evidence, and we proposed physiologic basis for various alternative practices for RLS including mind-body interventions (conventional exercise, yoga, and acupuncture), non-pharmacologic lifestyle interventions (pneumatic compression devices [PCDs], light therapy, and cognitive-behavioral therapy [CBT]), and neutraceuticals (vitamins, valerian, and Chinese herbs). Based on the available evidence, regular physical activity should be recommended for the treatment of RLS symptoms. Oral iron supplementation should be considered for people with RLS who have low ferritin levels, although criteria to identify probable responders, and optimal formulations and durations of treatment are needed. Supplementation for low levels of vitamins E, C, and D could be considered, although evidence specifically in RLS is limited, and it is unclear if levels should routinely be checked in patients with RLS. Insufficient evidence exists for yoga, acupuncture, PCDs, near-infrared light therapy, CBT, valerian, or Chinese herbs, but preliminary studies on each of these suggest that high-quality randomized controlled trials may be warranted to support and verify the data presented. [ABSTRACT FROM AUTHOR]

In this paper, an enhanced adaptive impulsive noise cancellation technique based on State Space Recursive Least Square (SSRLS) algorithm is proposed. The technique is applied to the Electrocardiogram (ECG) signal, where impulsive noise affects the ECG analysis. Due to state space model-dependent recursive parameters, the presented scheme does not require the reference signal and exhibits better impulsive noise cancellation in ECG signal when compared with existing Normalized Least Mean Square (NLMS) and, Recursive Least Square (RLS) techniques. The fastest convergence and excellent tracking characteristics of proposed scheme demonstrated by the simulation results in mean square error (MSE) sense proved it to be the effective solution of impulsive noise cancellation in ECG signals. [ABSTRACT FROM AUTHOR]

This paper depicts the considered sensor systems which has been made commonsense by the joining of micro electro-mechanical frameworks improvement, remote trades and electronic gadgets. In particular, the distinguishing assignments and the potential sensor systems applications are investigated, and a survey of parts affecting the plan of sensor structures is given. By then, the correspondence essential planning for sensor structures is plot, and the reckonings and customs made for every layer in the composed work are investigated. Open examination issues for the certification of sensor structures are correspondingly examined. Confinement in remote sensor structure acknowledge vital part in making remote correspondence applications. In this paper, RLS confinement estimation figuring is acknowledged with two novel blueprints of focuses in MATLAB. It is observed that the RLS estimation giving better MSPE exclusion emerged from the LLS figuring and the precision of position slip is lessened as the measure of stay focus focuses increments. The delayed consequence of this work would be valuable for growing unfaltering WSN limitation models. [ABSTRACT FROM AUTHOR]

This paper proposes a novel adaptive filtering method for tracking the power quality disturbances present in distorted power signals. The proposed filter known as unscented H ∞ filter (UHF) is the robustification of unscented Kalman filter (UKF) and is based on state space modeling. The performance of unscented H ∞ filter has been compared with other adaptive filters considering signals, which can represent worst case measurement and network conditions in a typical power system. State space modeling is used to estimate power quality disturbances like sag, swell, notch in presence of additive white Gaussian noise (AWGN). Also the amplitudes and phases of different harmonics under high noisy conditions and decaying DC are also estimated which shows the robustness of the filter. Comparison results demonstrate that under identical conditions, the performance of UHF is better compared to UKF. [ABSTRACT FROM AUTHOR]

In adaptive filtering, several algorithms are developed in the quest for greater convergence speed, mostly relying on second order statistics. Here we modify the Recursive Least Square (RLS) equations by using as performance surface a weighted sum of even error power. As a result, the equations turn out to be simple, elegant, while yielding faster convergence and preserving the computational cost when compared with the existing RLS algorithm. [ABSTRACT FROM AUTHOR]

The main interest in adaptive filters continues to grow as they begin to find practical applications in areas such as channel equalization, echo cancellation, noise cancellation and many other adaptive signal-processing applications. The work presented in this paper focuses on optimizing most popular adaptive filtering algorithms namely Least Mean Square (LMS) algorithm, Normalized Least Mean Square (NLMS) and Rec ursive least Squares (RLS) by using genetic optimizer approach. The tap-length are updated with the three adaptive algorithms according to the value of mean square error based on genetic style. The simulation results for noise cancellation in speech enhancement demonstrate the good performance of the proposed algorithm in attenuating the noise with less hardware resources complexity. It is a nice tradeoff between hardware complexity, SNR ratio and the convergence speed. [ABSTRACT FROM AUTHOR]

In order to adapt the Kalman filter (KF), the RLS algorithm or other, to single channel active noise control (ANC) the MFx structure is used. But, this is more complex in the multichannel case. The RLS and others have been adapted to multi-channel ANC. However, there has been no adaptation of the KF based on a random walk state space model. This is similar to the RLS but has some advantages. The RLS algorithm tries to invert the autocorrelation matrix of the reference signal, and can become unstable if this is singular. The same is not true for random walk based KF. In the paper we present an adaptation of the KF to multi-channel ANC. [ABSTRACT FROM PUBLISHER]

Background: Endocan is a recently introduced marker of endothelial dysfunction. The objective of this study was to compare serum endocan levels in patients with restless legs syndrome (RLS) and control subjects in order to elucidate whether RLS is associated with endothelial dysfunction. Methods: A total of 31 drug naïve female patients with RLS and 31 age- and BMI-matched women were included in the study. Patients with pathological or physiological conditions or with a history of medication use that could potentially influence endothelial functions were excluded, as well as those with alcohol or drug abuse history. The two groups were compared with routine blood tests and serum endocan levels. Results: Patients with RLS had lower serum endocan levels than the controls (P=0.037). There was a negative bivariate correlation between RLS severity score and serum endocan levels (r=-0.406, P=0.023). While white blood cell count was significantly higher in RLS group, 25-hydroxy vitamin D3, vitamin B12, transferrin saturation rate, and HDL-cholesterol were significantly lower. Creatininemia and diastolic blood pressure were also marginally insignificantly lower in RLS group. Due to the presence of differences between two groups in these variables, a linear regression analysis was performed that showed a positive association between endocan and creatininemia (β=0.310, P=0.022), and a negative association between endocan and RLS (β=-0.502, P<0.001). Conclusion: The results of this study seem to suggest that patients with RLS may have better endothelial functions when compared with the general population and that these patients may be better protected against atherosclerosis. [ABSTRACT FROM AUTHOR]

Patients with multiple sclerosis (MS) are at increased risk for comorbid sleep disturbances, which can profoundly contribute to poor functional status and fatigue. Insomnia, sleep-disordered breathing, and restless legs syndrome are among the most common sleep disorders experienced by patients with MS. Despite their impact, these underlying sleep disorders may escape routine clinical evaluations in persons with MS, thereby leading to missed opportunities to optimize functional status and quality of life in patients with MS. A practical, systematic approach to the evaluation and treatment of sleep disorders in MS, in the context of MS-specific variables that may influence risk for these conditions or response to therapy, is recommended to facilitate early diagnosis and successful treatment. This review summarizes the most common sleep disorders experienced by persons with MS, and offers a practical approach to diagnosis and management of these conditions. [ABSTRACT FROM AUTHOR]

The paper deals with the problem of reducing the residual vibration and limiting the transient oscillations of a flexible and underactuated system with respect to the variation of operating conditions. The comparative study of generalized predictive control (GPC) and fuzzy scheduling scheme developed based on the P1-TS fuzzy theory, local pole placement method and interval analysis of closed-loop system polynomial coefficients is addressed to the problem of flexible crane control. The two alternatives of a GPC-based method are proposed that enable to realize this technique either with or without a sensor of payload deflection. The first control technique is based on the recursive least squares (RLS) method applied to on-line estimate the parameters of a linear parameter varying (LPV) model of a crane dynamic system. The second GPC-based approach is based on a payload deflection feedback estimated using a pendulum model with the parameters interpolated using the P1-TS fuzzy system. Feasibility and applicability of the developed methods were confirmed through experimental verification performed on a laboratory scaled overhead crane. [ABSTRACT FROM AUTHOR]

In this paper, a new adaptive method is proposed to estimate blind minimum mean-square error equalizer with arbitrary delay of single-input-multiple-output channel. By using a recursive least-square-similar algorithm to recursively update a correlation matrix and its pseudo-inverse, the proposed algorithm ensures convergence and is not sensitive to the initialization of its parameters. Compared with other batch-type approaches, the new adaptive method does not require to compute the pseudo-inverse or singular value decomposition directly, consequently does not need rank estimation nor channel order estimation. Furthermore, the fast convergence enables the proposed method to be used in real time communication applications. Simulation results are provided to demonstrate the performance of the proposed method. [ABSTRACT FROM AUTHOR]

Levodopa and dopamine agonists have been the main treatment for restless legs syndrome during the past decades. Although their efficacy has been well documented over the short term, long-term dopaminergic treatment is often complicated by augmentation, loss of efficacy, and other side effects. Recent large randomized controlled trials provide new evidence for the efficacy of high-potency opioids and α2δ ligands, and several post hoc analyses, meta-analyses, algorithms, and guidelines have been published, often with a specific focus, for example, on augmentation, or on management of restless legs syndrome during pregnancy. Several new contributions to understanding the pathophysiology of restless legs syndrome have been published, but at this time, whether they will have an impact on treatment possibilities in the future cannot be estimated. [ABSTRACT FROM AUTHOR]

Background Restless legs syndrome (RLS) is a common disorder, with several known genetic risk factors, yet the actual genetic causes are unclear. Methods Whole-exome sequencing (WES) was performed in seven RLS families, focusing on six known genetic loci: MEIS1 , BTBD9 , PTPRD , MAP2K5 / SKOR1 , TOX3 , and rs6747972 . Genotyping using specific TaqMan assays was performed in two case–control cohorts (627 patients and 410 controls), and in a familial cohort (n = 718). Results WES identified two candidate GLO1 variants (within the BTBD9 locus), p.E111A and the promoter variant c.-7C>T, both co-segregated with the disease in four families. The GLO1 p.E111A variant was associated with RLS in the French-Canadian cohort (odds ratio, OR = 1.38, p = 0.02), and demonstrated a similar trend in the US cohort (OR = 1.26, p = 0.09, combined analysis OR = 1.28, p = 0.009). However, the original genome-wide association study (GWAS) marker, BTBD9 rs9357271, had stronger association with RLS (OR = 1.84, p = 0.0003). Conditional haplotype analysis, controlling for the effect of the BTBD9 variant rs9357271, demonstrated that the association of GLO1 p.E111A turned insignificant ( p = 0.54). In the familial cohort, the two GLO1 variants were not associated with RLS. Other variants in the SKOR1 (p.W200R and p.A672V) and PTPRD (p.R995C, p.Q447E, p.T781A, p.Q447E, and c.551-4C > G) genes, did not co-segregate with the disease. Conclusions The GLO1 variations studied here are not the source of association of the BTBD9 locus with RLS. It is likely that the genetic variants affecting RLS susceptibility are located in regulatory regions. [ABSTRACT FROM AUTHOR]

Background RLS is a common chronic disorder characterized by an irresistible need to move the lower limbs that affects sleep. Poor sleep has been associated with increased blood pressure (BP). Thus, we evaluated the cross-sectional relationship between RLS and hypertension (HTN) in a large cohort study in Mexico. Methods In 2011, 54,925 female participants from the Mexican Teachers' Cohort responded to a four-item questionnaire based on the International Restless Legs Syndrome Study Group's minimal diagnostic criteria. Women also reported diagnosis and treatment of HTN. We used multivariable logistic regression models to estimate prevalence odds ratios (ORs) for HTN, adjusting for lifestyle and dietary factors. We also estimated adjusted prevalence ORs for HTN by frequency of RLS symptoms. Results We identified 9,230 cases (17%) of RLS, and the prevalence of HTN was 13.1% among women with RLS and 9.4% among those without RLS. The multivariable-adjusted prevalence OR for HTN comparing women with to those without RLS was 1.18 (95% confidence interval [CI]: 1.10-1.26). Compared to those without RLS, the prevalence OR of HTN in women reporting a symptom frequency of once a month or less was 1.14 (95% CI: 1.00-1.30); among those with symptoms two to four times a month, the OR was 1.17 (95% CI: 1.05-1.30); and for those with symptoms at least two times a week, the OR was 1.22 (95% CI: 1.10-1.35). Conclusion We observed an association between RLS and HTN. Future studies should evaluate the impact of treating RLS on BP. [ABSTRACT FROM AUTHOR]

Objective The objectives of this study were, first, to explore differences in brain activity between normal people and idiopathic restless legs syndrome (RLS) patients during asymptomatic periods; and, second, to determine whether administering repetitive transcranial magnetic stimulation (rTMS) to specific cortical regions would reverse any observed differences in brain activity and alleviate patient symptoms. Methods Fifteen idiopathic RLS patients (nine drug-naive patients) and 14 gender- and age-matched healthy controls were enrolled. Resting-state functional magnetic resonance imaging was used to measure the amplitude of low-frequency fluctuations (ALFF) in spontaneous brain activity during asymptomatic periods. Seven patients received high-frequency (5 Hz) rTMS directed toward the leg area of the primary motor cortex. Scores on the International Restless Legs Syndrome Study Group (IRLSSG) Rating Scale and ALFF values were measured before and after treatment. Results Compared with healthy controls, RLS patients showed lower ALFF in the sensorimotor and visual processing regions, and higher ALFF in the insula, parahippocampal and hippocampal gyri, left posterior parietal areas, and brainstem. These results were largely conserved when only drug-naive patients were considered. After rTMS treatment, ALFF in several sensorimotor and visual regions were significantly elevated and IRLSSG Rating Scale scores decreased, indicating improved RLS symptoms. Conclusions High-frequency rTMS delivered to the leg area of the primary motor cortex may raise functional activity in the sensorimotor and occipital regions, leading to improve symptoms in RLS patients. These results provide novel insight into RLS pathophysiology and suggest a potential mechanism for rTMS therapy in idiopathic RLS patients. [ABSTRACT FROM AUTHOR]

In this paper we introduce a novel online self-organized clustering method based on the ART-2A network for Takagi–Sugeno fuzzy models. To accomplish the self-organization, we introduce an automatic decision algorithm along with solutions for merging and splitting of rules as well as the parameters they operate with, such as our novel incremental distance measurement and competitive recursive least squares. We emphasize the learning algorithm's having an impact for initial as well as long-term learning capabilities. We also emphasize the challenge for online learning, where examples are incoming in real-time and thus are unknown before they can be learned. Therefore, we solve parameter fixing by introducing a parameter free method. We show the performance of our method on various machine learning benchmarks as a highly accurate and low time-consuming method capable of adapting to different databases without the need for fixing any of its parameters according to the database. [ABSTRACT FROM AUTHOR]

Purpose: Based on an internal request, GlaxoSmithKline conducted a retrospective pooled analysis of randomized controlled trials to compare suicidality in adult subjects with restless legs syndrome (RLS) who were being treated with ropinirole. The objective was to proactively evaluate the incidence of potentially suicidal thoughts or behaviors (suicidality) among patients with RLS treated with ropinirole immediate release (IR) or controlled release (CR). Methods: The US Food and Drug Administration approved methods previously used for the retrospective analysis of suicidality with antidepressants and anticonvulsants. Potential cases of suicidal thoughts and behavior were identified from searches of treatment-emergent adverse event preferred and verbatim terms; a review of serious adverse events; and searches of a priori-identified free text comment fields in the case report forms. Blinded case reports for these potential cases, in addition to all serious adverse events, were categorized by using the Columbia Classification Algorithm of Suicide Assessment. Findings: The dataset for this study comprised 1799 patients who received ropinirole (either formulation) and 1258 patients who received placebo. No signal for suicidality was detected for ropinirole in the treatment of patients with RLS. Implications: The pooled datasets in this study were not designed to prospectively assess for suicidal ideation or behavior. Any future studies in this area should include the collection of prespecified, detailed information regarding suicidality. [ABSTRACT FROM AUTHOR]

Although a huge amount of clinical evidence for Restless Legs Syndrome (RLS) is present in literature, an exhaustive account of cognitive profile in RLS patients is still lacking. In this study we evaluated the neurocognitive function in RLS patients and the effects of a three-month treatment with a dopamine agonist (pramipexole) at low doses. Clinical and polysomnographic characteristics, cognitive abilities, quality of life and psychological clinical indices were assessed in 20 RLS patients and 15 age-matched controls. The neurocognitive results, obtained by untreated RLS patients (baseline), were firstly compared to those of controls and then to those of the same RLS group after treatment (follow-up). Increased Total Sleep Time, Slow Wave Sleep, Sleep Efficiency and decreased Sleep Latency, Wake After Sleep Onset and periodic leg movement index were found by polysomnographic recording after a three-month treatment. Results showed that cognitive functions, impaired at baseline when compared to control subjects, improved after the pharmacological treatment, reaching the scores of healthy subjects. Decision making, problem solving and categorizing abilities, investigated by the Iowa Gambling Task (IGT) and the Wisconsin Card Sorting Test (WCST), resulted lower in RLS patients at baseline than in controls. All these functions improved after pharmacological treatment, as well as quality of life, depressive and anxiety symptoms, and daytime sleepiness. [ABSTRACT FROM AUTHOR]

Two recursive least-squares (RLS) adaptive filtering algorithms are most often used in practice, the exponential and sliding (rectangular) window RLS algorithms. This popularity is mainly due to existence of low-complexity versions of these algorithms. However, these two windows are not always the best choice for identification of fast time-varying systems, when the identification performance is most important. In this paper, we show how RLS algorithms with arbitrary finite-length windows can be implemented at a complexity comparable to that of exponential and sliding window RLS algorithms. Then, as an example, we show an improvement in the performance when using the proposed finite-window RLS algorithm with the Hanning window for identification of fast time-varying systems. [ABSTRACT FROM AUTHOR]