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The adaptive elastic net has been widely studied in the microarray classification due to the elegant performances in gene selection. However, the classification accuracy will be affected if the noise is included. As such, this paper proposes a weighted adaptive elastic net for the binary microarray classification with noise by using the distances from the sample points to both class centers. Furthermore,...
NBTI and RTN time-dependent variability is described from a defect-centric perspective. It is shown that NBTI induced threshold voltage shift (ΔVTH) distribution is governed by a compound Exponential-Poisson process. Using the memoryless properties of Poisson statistics, it is shown that not only the stressed but also the relaxed fraction follows the Exponential-Poisson distribution. Moreover, the...
The main role in the task of process remote sensing data of the Earth surface are played algorithms of forming and classification those data. From the statistical point of view the solution is based on the maximum-likelihood method. The paper presents analytical equations for likelihood coefficients and the structural scheme of their forming in the solution of radar signal recognition. To analyze...
This paper presents a demo proposal of a standalone smartphone application that can automatically analyse the signal quality of PCG, as it is recorded on a low-cost smartphonebased digital stethoscope. Features, related to the inherent pattern of the autocorrelated signal envelope, have been used for classifying and discarding the noisy portions from a continuous PCG. Our application has been successfully...
We consider practical aspects of lossy compression with application to multispectral images provided by Landsat sensor. Two facts are taken into account: 1) the inherent noise presence and its properties; 2) rather high degree of component correlation. These properties in different degree are used in 2D and 3D lossy compression. Comparison of the suggested approaches has been carried out for some...
The assumption of additive white Gaussian noise (AWGN) to model measurement is not valid since many applications such as in RF power measurement the noise is colored with 1/f spectrum characteristics. With this characteristics, the assumption of independently identically distribution (IID) used in signal detection and estimation becomes not valid. The autocorrelation function and power spectrum can...
Image analysis is significant from the standpoint of image description. A well described image has merits in different research areas, e.g., image compression, machine learning, computer vision etc. This paper is an attempt to analyze graylevel images through shifted orthogonal polynomial moments, computed on a discrete disc. This removes the difficulty of computing the moments on an analytic disc...
In this paper, we intend to propose a new method to incorporate geometric shape prior into an edge-based active contours for robust object detection in presence of partial occlusions, low contrast and noise. A shape registration method based on phase correlation of binary images, associated with level set functions of the active contour and a reference shape, is used to define prior knowledge making...
Do statistical methods developed for NRZ signals work for PAM-4 modulation? Not entirely. We show that some basic principles (e.g., edge-based analysis, conversion of jitter PDF into vertical noise) remain valid, but the solution flow should be modified. Modifications include: the number of PMF accumulators, their initialization and input-output connections, weight factors, transition probabilities,...
A fusion methodology for tracks represented by Gaussian mixtures is proposed for distributed maneuvering target tracking with unknown correlation information between the local agents. For this purpose, Chernoff fusion is applied to the Gaussian mixtures provided by the local interacting multiple-model (IMM) filters. Chernoff fusion of Gaussian mixtures is achieved using a recently proposed method...
The problem of selecting a template that matches a given candidate signal is applicable across a wide variety of domains. Using the correlation coefficient as the avenue for selecting the winning template is perhaps the most common technique. The challenge lies in selecting the winning template when there is no clear separation between the correlation coefficient values of the winning template and...
In recent years, communications systems through mains, known as PLC (Powerline Communication), have received a lot of interest as part of intelligent networks or smart grids, as well as for multimedia applications at homes. In broadband PLC, systems using multicarrier modulations allow the mitigation of selective frequency fading in the channel. Nevertheless, these modulations require accurate time...
Second order CS stochastic processes are non-stationary stochastic processes, where the TDCM depends on the global time and the time difference, and the dependence on the global time is periodic. This autocorrelation function can be represented by a 2D cyclic correlation spectrum containing delta functions at frequencies multiple to the cycle frequency of the stochastic process. Accordingly a CS stochastic...
We use classical stimulated four-wave mixing to directly characterize quantum spectral correlations generated in a silicon nanowire for two different pump durations. Signal to noise is increased and acquisition time reduced compared to coincidence detection.
Photo-response non-uniformity (PRNU) noise has been well established as a reliable fingerprint of imaging sensors for source camera identification and other forensic applications. In this paper, we introduce a novel denoising method for PRNU noise extraction that considerably outperforms the existing techniques. The rationale is to use as little as one adjacent pixel in spatial domain filtering to...
The total DDR on-die AC power delivery noise can be decomposed into high pass filtered (HPF) Vppa and low pass filtered (LPF) Vppb. PI-SI co-simulation reveals that Vppa impacts timing (eye width) and Vppb impacts signal voltage amplitude (eye height), and they need to be budgeted in different manner. Consequently the Power Delivery Network (PDN) is optimized with significant Cpkg and Cdie reduction...
The main objective of this study is to introduce a simple, low-complexity and effective algorithm to evaluate the quality of the real-time electro-cardiosignal, especially the electro-cardiosignal coming from dry electrode, or the signal collecting during periods of muscular activity or excessive motion. In the proposed method, the real-time signal is pre-processed by five main steps:(1) down sampling...
A model is made in view of the MEMS gyroscope random error, which is applied to error compensation with the Kalman filter. And main noise sources that affect measurement accuracy are determined via Allan variance method. The correctness of the model is verified by data filtering, proper error model and error compensation of the MEMS gyroscope. The principle factors that affect the performance of MEMS...
Objective measures are favored and widely used by many researchers in evaluating the quality of noise-suppressed speech. A good and reliable objective measure should have property that it could evaluate speech quality in consistent and well correlated with subjective ratings. In this paper, several widely used objective measures are applied to the speech signals with the Chinese languages including...
In this paper a time-domain iterative filtering technique is investigated to remove the need for iterative process and obtain a cross-correlation response close to an ideal thumbtack peak response with minimal sidelobes. Simulation results are reported for Gaussian random noise cases as well as for a case utilizing Barker code of length 13.
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