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This paper focuses on wireless capsule endoscope magnetic field based localization by using a linear algorithm, an unconstrained optimization method and a constrained optimization method. Eight sensor populations are employed for performance evaluation. For each of five sensor populations, four different sensor configurations are investigated, which represent potential sensor placements in practice...
This brief presents a symbolic approach for the optimal design of low noise amplifiers through the scattering parameters. An optimization algorithm, which is also proposed in this paper, generates the optimal values of all the design parameters that meet imposed specifications on the scattering parameters. ADS simulations, using 0.35μm CMOS technology, are presented to show the good agreement between...
In this paper, we studied the use of common mode noise reduction technique for in-vehicle electronic equipment in an actual instrument design. We have improved the model circuit of the common mode noise that flows to the wire harness to add the effect of a by-pass capacitor located near an LSI. Moreover, to satisfy the noise reduction equation composed of numerous parameters, we proposed a design...
In this study, we solve the routing and wavelength assignment problem considering physical constraints of Amplified Spontaneous Emission in erbium-doped fiber amplifiers and crosstalk noise at optical cross-connects, with Ant Colony based Hyper Heuristics. Our aim is to minimize the total bit error rate of all the routed lightpaths over optical wavelength division multiplexing networks. We compare...
The blind source separation (BSS) using a two-stage sparse representation approach is discussed in this paper. The first challenging task of this approach is how to estimate the unknown mixing matrix precisely, to solve this problem, the algorithm based on linear membership function is proposed. And then, we proposed the optimization algorithm based on integral to get the max value of the function...
Pulsed Arterial Spin Labeling (PASL) techniques potentially allow the absolute, non-invasive quantification of brain perfusion using Magnetic Resonance Imaging (MRI). This can be achieved by fitting a kinetic model to the data acquired at a number of inversion times (TI). Some model parameters such as the arterial transit time need to be estimated together with perfusion, while others are usually...
Sharpness is one of the most determining factors in the perceptual assessment of image quality. Objective image sharpness measures may play important roles in the design and optimization of visual perception-based auto-focus systems and image enhancement, restoration and compression algorithms. Here we propose a new sharpness measure where sharpness is identified as strong local phase coherence evaluated...
In this paper we present a novel blind method for separating two binary sources from a single, arbitrary nonlinear mixture. The method is analytical and does not involve nonlinear optimization. Our approach proceeds by linearizing the problem and extending known, clustering-based results from the linear binary BSS case to the nonlinear case. The proposed algorithm is computationally efficient. Due...
Robust adaptive beamforming based on worst-case performance optimization is known to provide a substantially improved robustness against signal self-nulling as compared to the traditional adaptive beamforming techniques. The worst-case performance optimization based beamformers of and can be alternatively obtained by solving the one-dimensional (1D) covariance fitting problem. In this paper, we show...
The problem of dynamic bit allocation for target tracking is investigated in this paper under a total sum rate constraint in sensor networks. Bits are dynamically allocated to sensors in such a way that a cost function, which is based on the Cramér-Rao lower bound evaluated at the predicted target state, is minimized. The optimal solution to this problem, namely joint bit allocation and local quantizer...
In this paper, we introduce a new approach for RTK positioning using triple-frequency combinations of GNSS measurements in presence of carrier phase multipath. The proposed method is based on a modification of the LAMBDA method, where the a-priori information on multipath errors is exploited as a constraint in the optimization and ambiguities search process to mitigate the effect of multipath. Triple-frequency...
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-like motion of these machines with time series from novel experimental assays has recently become possible. These time series are corrupted by molecular and experimental noise that requires removal, but classical signal processing...
One of the main computational challenges in digital fingerprinting systems is the complexity of colluder identification. Inspired by compressive sensing approaches for support recovery of sparse vectors, we propose a novel list-decoding approach for partial colluder identification. We also derive formulas for the minimum codelength required for identifying a nonzero fraction of colluders based on...
We present a bottom-up approach to connected digit recognition in which (i) the speech signal is transformed into a sparse set of acoustic events in time, (ii) point process models (PPM) of these events are used to detect candidate digit occurrences, and (iii) the candidate digit detections are reduced to a single digit sequence prediction by using a previously proposed graph-based optimization. We...
Using both the modified supply voltage and body voltage, an optimized keeper technique is presented in this paper to tradeoff the performance of domino OR gates. The simulation results show that the novel technique can highly improve power/speed efficiency and robustness to noise. In addition, because of employment of body biased voltage, the optimized keeper technique enables to minimize effect of...
A discretetized version of a continuous optimization problem is considered for the case where data is obtained from a set of dispersed sensor nodes and the overall metric is a sum of individual metrics computed at each sensor. An example of such a problem is maximum likelihood estimation based on statistically independent sensor observations. By ordering transmissions from the sensor nodes, a method...
The paper presents a computer-based intelligent decision support system designed to achieve the optimization of the lapping of plane surfaces, by Taguchi's method of arrays of experiments. The steps to be followed for solving the issue of optimization are described, the most important ones concerning the defining of the targeted objective, establishing the factors influencing the process and their...
This article makes use of marine diesel engine local vibration signals. These signals have properties of non-stationary, non-Gaussian and low signal-to-noise. These unknown sources about diesel vibration signals can be estimated and recurrent according to blind source separation (bss) algorithm and combining other time domain, frequency domain analysis method. The independent signal source can also...
This paper introduces a new mathematical framework which is used to derive joint uplink/downlink achievable rate regions for multi-user spatial multiplexing between one base station and multiple terminals. The framework consists of two models: the first one is a simple transmission model for uplink (UL) and downlink (DL), which is capable to give a lower bound on the capacity for the case that the...
This work is devoted to the development of methods of signal detection, selection and estimation of parameters of space-extended objects with high Q-factor on basis of statistical optimization of either of space-time processing of signals or dynamic scenes in the radio-technical systems.
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