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In order to improve the accuracy of INS/GPS integrated navigation system during GPS signals blockage, an effective and low-cost method is to design the corresponding linear or non-linear predictor to predict the position and velocity errors between INS and GPS during GPS blockage and then to correct the results of INS. Based on the distributed data fusion system, a novel hybrid prediction method that...
In recent years recurrent neural network language models (RNNLMs) have been successfully applied to a range of tasks including speech recognition. However, an important issue that limits the quantity of data used, and their possible application areas, is the computational cost in training. A signi??cant part of this cost is associated with the softmax function at the output layer, as this requires...
In this paper, geolocation problem using noisy differences in time of arrival (TDOA) and frequency difference of arrival (FDOA) measurements is considered, and a sub-BLUE solution is proposed, a new TDOA/FDOA based recursive geolocation algorithm is also developed. The efficiency of the new algorithms is illustrated with simulation results.
A frequency translation technique exploiting properties of the current-driven passive mixers is presented to implement built-in out-of-band blocker filtering, intended for FDD applications such as 3G. The mathematical findings enable us to optimally size the components for maximal RF front-end gain and minimal noise figure. A prototype zero-IF receiver is fabricated in 65nm CMOS, and achieves a NF...
In our approach, we propose to process the mean arterial pressure recordings like a signal but yet do analysis like an image in order to differentiate recordings from patients using pressors to treat their acute hypotension and from patients with no such conditions. Mean arterial pressure values recorded over time is numerical representations over time and hence signal processing techniques can be...
Currently, there does not exist reliable MV treatment or protocols in critical care to treat acute respiratory diseases, and thus no proven way to optimise care to minimise the mortality, length of stay or cost. The overall approach of this research is to improve protocols by using appropriate computer models that take into account the essential lung mechanics. The aim of this research is to create...
For the first time, we have demonstrated a 32 nm high-k/metal gate (HK-MG) low power CMOS platform technology with low standby leakage transistors and functional high-density SRAM with a cell size of 0.157 mum2. Record NMOS/PMOS drive currents of 1000/575 muA/mum, respectively, have been achieved at 1 nA/mum off-current and 1.1 V Vdd with a low cost process. With this high performance transistor,...
The aim of this study was to develop a reliable automated method of QT interval measurement for ECG signals, and to participate the PhysioNet/Computers in Cardiology Challenge 2006. A scheme based on Kalman filter was proposed to conduct beat segmentation and searching of the first representative beat from ECG waveform, and a wavelet based algorithm was used to detect the onset of QRS complex and...
This paper discusses the online estimation problem of frequency, amplitude and initial phase of a measured sinusoidal signal by using the adaptive method and filter theory. The proposed method is based on an identity between a sinusoidal signal and its second order derivative. Firstly, the frequency is estimated by using the filters of the measured signal. Secondly, the derivative of the measured...
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