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Total least squares method is applied to design the optimal control strategy for descriptor systems through the noise polluted input and output data. The traditional controller design schemes are ideally, i.e., the input-output data is treated with no noise disturbance, or only the error of the output data is considered. However, if the input and output data are both disturbance by the noise, the...
In this paper, we analyze the stationary behavior of linear control systems equipped with a random dither quantization. First, we evaluate when and in which sense the stationary distribution of each signal is close to a normal (Gaussian) distribution. Then, we compute their stationary variance based on an approximately invariant probability measure.
We present a non-monotonic gradient descent algorithm with infeasible iterates for the nonnegatively constrained least-squares deblurring of images. The skewness of the intensity values of the deblurred image is used to establish a criterion for when to enforce the nonnegativity constraints. The approach is observed on several test images to either perform comparably to or to outperform a non-monotonic...
Two nominally identical microwave cryocooled sapphire oscillators (CSO) have been implemented at the University of Adelaide. The sapphire resonators have a turning point in their frequency-temperature dependence at approximately 6 K, which delivers first-order insensitivity to temperature fluctuations when operated at this point. Using a closed system ultra-low vibration pulse-tube cryocooler with...
This paper studies the synchronization problem of multi-agent systems with nonlinear dynamics in mean square. It is supposed that the measurement of relative-state is disturbed. For the nonlinear multi-agent systems, we show that the conventional consensus protocols are robust against the measurement noises which are dependent to the relative-state. Simulations are provided to demonstrate the theoretical...
In this paper, we study the optimal tracking performance problem of continuous-time linear multi-input multi-output (MIMO) networked control systems. The unstable and non-minimum phase systems is considered. The output feedback path is subject to quantization noise, additive white Gaussian noise and bandwidth constraints, and encoding and decoding are considered. The reference input is a random signal...
Quantile is one of the major metrics used in risk management. Since qauantile represents the downside risk. In this paper, we present a new variant of Nelder-Mead method (NM) for quantile-based stochastic optimization, called Stochastic Nelder-Mead Simplex Method for Quantile (SNM-Q), that aims to minimize the downside of decisions made in stochastic environments. An extensive numerical study shows...
This paper presents a method to automatic segmentation of cervical intraepithelial neoplasia (CIN3) parabasal cervical cells from PAP Smear images. The proposed method based on the structural characteristics of cervical; the region of nucleus by using Active Contour Model (ACM). The energy function is minimized in order to correct the less gradient of image energy area; to correct the cloudy contour...
This paper studies the detectability of discrete-time stochastic linear systems with Markovian jump and multiplicative noises. An equivalent definition of the weak detectability for discrete-time stochastic linear systems will be discussed. And we show that the weak detectability has invariance under the linear output feedback.
In this paper, we study the capacity of multiple-input multiple-output (MIMO) systems under the constraint that amplitude-limited inputs are employed. We compute the channel capacity for the special case of multiple-input singleo-utput (MISO) channels, while we are only able to provide upper and lower bounds on the capacity of the general MIMO case. The bounds are derived by considering an equivalent...
The RR and RT time intervals extracted from the electrocardiogram measure respectively the duration of cardiac cycle and repolarization. The series of these intervals recorded during the exercise test are characterized by a global minimum. We model these series as a sum of a deterministic trend and random fluctuations, and estimate the trend using a multi scale wavelet decomposition. Data analysis...
To improve comprehensive performance of denoising range images, an impulsive noise (IN) denoising method with variable windows is proposed in this paper. Founded on several discriminant criteria, the principles of dropout IN detection and outlier IN detection are provided. Subsequently, a nearest non-IN neighbors searching process and an Index Distance Weighted Mean filter is combined for IN denoising...
The demand for noise reduction inside a vehicle has been recently increasing in the pursuit of improved ride comfort. In consideration of requirement of quietness improvement and reduction of weight, an active noise control (ANC) system has been attracting much attention. This method is effective for noise with low frequency. In this study, we propose an ANC system by using the vibration of giant...
The low-level line segment features have low accuracy as they are more easily affected by the noise and differeent line segment detectors. Furthermore, the line segment is not a good feature for matching across multiple views when we need to finish the 3D reconstruction. However, the line feature is more robust for the noise. In this paper, a kind of line feature, ideal line, is defined and optimally...
In wireless network, the resource limitations and process speed are the main constraints. They make many traditional background subtraction methods unable to be applied in wireless network. Vibe algorithm is a newly proposed background subtraction technique and its computational load is very low. That makes it available in the wireless network. However, Vibe is a pixel-level algorithm and it does...
This tutorial begins with an examination of noise models of devices and then considers the noise of representative blocks such as amplifiers, mixers and oscillators. The presentation will highlight the different consequences of stationary and cyclostationary noise processes. Throughout the emphasis will be on the acquisition of useful design insight. Many of these insights prove to be broadly useful...
Localization plays a substantial role in the future Internet, especially within the context of the Internet of Things (IoT). Increased dependence on devices and sensed data presses for more efficient and accurate localization schemes. In the IoT environment the area covered is large making it impossible to localize all devices and Sensor Nodes (SNs) using single-hop localization techniques. A solution...
The noise of motorcycle has characteristics of broad bandwidth, wide distribution, and large radiation area and so on, the traditional method of noise detection is difficult to identify the noise source accurately. In this paper, the holographic sound intensity has been proposed based on optimize and improve the traditional motorcycle noise sound intensity detection method. The experimental results...
The multipath effect is the primary interference factor among the underwater communication systems. Underwater acoustic channels are characterized as time-variant dispersive channels. Multipath propagation results in spreading of the transmitted signal in time, which leads to serious Signal amplitude attenuation and inter symbol interference (ISI). Here we describes a signal processing approach identified...
When water flows through the measuring hydrophone and its cable quickly, pressure interference is produced. In this paper, sponge covering the hydrophone is used to isolate the impact of water flowing through the hydrophone and eliminate the burr noise in the signals. Results of the flow tests show that the sponge can effectively filter out the pressure interference caused by water flow, and of little...
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