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Objective evaluation of speech quality is an important part of the quality of communications service, and the speech in high-noise environments affect the people's auditory perception, which is an important factor for people to determine the speech quality. In this paper, a non-intrusive evaluation method for speech quality in high-noise environments is proposed, and a noise tracking and subtraction...
We present a boosting method for classification problems with optimal AUC value as a performance measure. The proposed technique first minimizes the empirical pairwise classification error. Once the pairwise classification error is reduced to a coordinatewise local minimum, then it switches to maximize the average pairwise margin of a small set of bottom sample pairs. Experimental results on real-world...
The speaker verification (SV) task has been an active area of research in the last thirty years. One of the recent research topics is on improving the robustness of SV system in challenging environments. This paper examines the robustness of current state of the art SV system against background noise corruptions. Specifically, we consider the scenario where the SV system is trained from noise free...
We identify a broad class of decentralized output-feedback LQG systems for which the optimal control strategies have a simple and intuitive estimation structure. We consider cases for which the coupling of dynamics among subsystems and the inter-controller communication are characterized by the same directed graph. For the class of graphs known as multitrees, we show that each controller need only...
We show that a new theory of sufficient statistics for team decision problems applies equally well to general dynamic team decision problems. In particular, we show that the sufficient statistics given in the theory are sufficient for making optimal decisions, and moreover, they can be updated with new measurements without having to scan through the old measurements. The implication is that that the...
A flatness based robust active disturbance rejection control technique scheme is proposed for the problem of stabilization and tracking control of a special underactuated, non-feedback linearizable mechanical system known as the cart inverted pendulum. The differential parametrization on the basis of linearizing the system around an arbitrary equilibrium decouples the underactuated systems into two...
In this paper, we present an optimal filter for linear time-invariant continuous-time stochastic systems that simultaneously estimates the states and unknown inputs in an unbiased minimum-variance sense. The optimality of the proposed filter is proven by reduction to an equivalent system without unknown inputs. Then, a second proof is given for a special case by limiting case approximations of the...
We consider the control of two UAVs tracking an evasive moving ground vehicle. The UAVs are small fixed-wing aircraft equipped with gimbaled cameras and must coordinate their control actions so that at least one UAV is always close to the target. The control actions of the UAVs are computed based on noisy measurements of the UAVs' current state and vision-based measurements of the target's position...
This paper studies regulated output synchronization for heterogeneous directed networks with non-introspective agents (i.e. agents have no access to their own states or outputs) in the presence of disturbance and measurement noises with known frequencies. A purely decentralized time-invariant protocol based on a low-and-high gain method is designed for each agent to achieve regulated output synchronization,...
We compare two iterative frequency domain sub-space identification methods using nuclear norm minimization to more commonly used non-iterative methods by means of an artificially created test problem involving very noisy uniformly spaced frequency data. The two corresponding optimization problems are motivated and their first-order algorithmic solutions based on the alternating direction method of...
Noises are inevitable when mining software archives for software fault prediction. Although some researchers have investigated the noise tolerance of existing feature selection methods, few studies focus on proposing new feature selection methods with a certain noise tolerance. To solve this issue, we propose a novel method FECS (FEature Clustering with Selection strategies). This method includes...
With the growing interest in the application of wind energy, doubly fed induction generators (DFIG) play an increasingly essential role in the power industry. It has been well recognized that modeling and monitoring the dynamic behavior of DFIGs are important to ensure power system reliability. Real-time estimation of the dynamic states of a DFIG is possible with high-speed measurements. But how to...
Integration of QKD in telecom infrastructures raises noise issues not present in systems using dedicated fibers. Experiments on a 3-node metro network indicate that integration is possible when allocating broadband quantum channels in the O-band.
In event-based state estimation, the event trigger decides whether or not a measurement is used for updating the state estimate. In a remote estimation scenario, this allows for trading off estimation performance for communication, and thus saving resources. In this paper, popular event triggers for estimation, such as send-on-delta (SoD), measurement-based triggering (MBT), variance-based triggering...
Combining multiple synthetic aperture radar (SAR) images taken at different times of the same scene produces coherent change detection (CCD) images that can detect small surface changes such as tire tracks. The resulting CCD images can be used in an automated approach to identify and label tracks. Existing techniques have limited success due to the noisy nature of these CCD images. In particular,...
This paper proposes a new method of identification of the poles in a discrete linear system from frequency domain data. The discrete rational transfer function is represented in a rational Laguerre basis, where the basis elements can be expressed by powers of the Blaschke-function. Laguerre coefficients are considered as a sum of oscillating signals what gives the opportunity to estimate the number...
Two dimensional target localization using AOA measurements is considered in this paper. By conducting repeated experiments, the complex AOA (CAOA) method found that for the two-sensor and single-target scenario, the accuracy of the intersection of two bearing lines can be divided into different layers. However, the experiments are very time consuming. Also, the division of the intersection region...
Linear transformations are widely used in the color science. Linear transformation can not ideally map the source and destination color matching functions and this issue induces some errors in the process of conversion. This error is usually deemed negligible for a noise-free system. However, in practice, imaging devices, displays, and printers employ linear transformations to move between color spaces...
The idea presented in this paper is to gradually decrease the influence of selected training vectors on the model: if there is a higher probability that a given vector is an outlier, its influence on training the model should be limited. This approach can be used in two ways: in the input space (e.g. with such methods as k-NN for prediction and for instance selection) and in the output space (e.g...
This paper presents an approach intended for tracking of biological non-stationary signals. The proposed approach utilizes a Kalman filter autoregressive model together with a method for estimation of covariance matrices of the uncorrelated process noise and measurement noise. The method was tested in simulations, where the ability of tracking of a class of time varying autoregressive processes was...
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