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In this paper, we present a robust solution for data reduction in array processing. The purpose is to reduce the computation and improve the performance of applied signal processing algorithms by mapping the data into a lower-dimension beamspace through a transformation. Nulls steering to interference are incorporated into a transformation using the subspace projection technique, and the beamspace...
Traditional speech recognition systems use Gaussian mixture models to obtain the likelihoods of individual phonemes, which are then used as state emission probabilities in hidden Markov models representing the words. In hybrid systems, the Gaussian mixtures are replaced by more discriminant classifiers, leading to an improved performance. Most of the time the classifiers used in such systems are neural...
Body area network is now on its speedway of development, which stresses the importance of in-body localization. Wireless capsule endoscopy, one major application in BAN, helps physicians to work out better treatments and inspections of gastrointestinal tract if wireless capsule endoscope could be more accurately localized. In this paper we first propose the CRLB of TOA ranging inside homogeneous tissue...
Baseline or frequency diversity have been recently proposed to reduce problems of interferometric phase ambiguity and data noise in synthetic aperture radar interferometry (InSAR) for topographic mapping. This paper presents a general model-based multibaseline multifrequency (MBMF) InSAR framework. A statistical model for the MBMF SAR-processed echoes from extended natural targets is presented, then...
The aim of this work is to provide an original analytical framework for downlink effective Signal to Interference plus Noise Ratio (SINR) evaluation in LTE networks. The classical single carrier SINR performance evaluation is extended to multi-carrier systems operating over frequency selective channels. Extension is achieved by expressing the link outage probability in terms of the statistics of the...
This paper presents a study of feature selection methods effect, using a filter approach, on the accuracy and error of supervised classification of cancer. A comparative evaluation between different selection methods: Fisher, T-Statistics, SNR and ReliefF, is carried out, using the dataset of different cancers; leukemia cancer, prostate cancer and colon cancer. The classification results using k nearest...
This paper presents a high-resolution 110dB SNR ΔΣ ADC that achieves a ±30V input common-mode voltage range (CMVR) while powered from a single 5V supply. This beyond-the-rails capability is obtained by employing a capacitively coupled high-voltage (HV) chopper at the input of a switched-capacitor (SC) ΔΣ ADC. Furthermore, the use of correlated double sampling and system-level chopping results in a...
Although human cognition often occurs while moving, most studies of the dynamics of the human brain examine subjects while static and seated in a highly controlled laboratory. EEG signals have been considered to be too noisy to record brain dynamics during human locomotion. Here, we present a real-time ambulatory brain computer interface which allows us to detect gait phases and remove motion-related...
This paper aims to investigate the effects of steady-state visual evoked potential (SSVEP) in the aspects of viewing distance variation for a smart TV control system. We designed an experimental environments with different viewing distance. Four healthy people (age 27.5±1, male) participated in the experiment. Four visual stimuli with a round shape were designed and presented on LED monitor flickering...
We have previously published a full report [25] comparing the performance of three automated electromyogram (EMG) decomposition algorithms. In our prior report, the primary measure of decomposition difficulty/challenge for each data record was the “Decomposability Index” of Florestal et al. [3]. This conference paper is intended to augment our prior work by providing companion results when the measure...
This paper introduces algorithms to find relay ordering in a multi-hop cooperative diversity network. We first describe an optimal relay ordering algorithm for this multi-branch multi-hop cooperative diversity network. The optimum algorithm has a very high complexity that makes it hard to implement when being used in an environment with a large number of relays. Thus, we propose algorithms to reduce...
Focusing on the estimation of the hopping period of the frequency-hopping (FH) signals, this paper proposes a novel method based on the binary-sum in the frequency domain. First, the time-frequency (TF) spectrograph of the signal is obtained and transformed into a binary matrix. Then the sum in frequency domain is calculated and the hopping period is accurately estimated by spectrum analyzing. The...
In this paper, we analyze the ergodic sum rate in a multiuser multi-cell downlink. Coordinated beamforming is employed to mitigate the interference, including intra-cell and inter-cell interference. However, due to the limited capacity of the backhaul link, only partial channel state information (CSI) is obtained at the base stations (BSs), resulting in residual interference even with coordinated...
Ultra-wideband (UWB) technology can provide a ranging accuracy of tens of centimeters with fine time resolution. UWB radio occupies a large bandwidth, e.g. at least 500 MHz, which translates to high multipath resolution. Thus, UWB is a suitable technology for accurate positioning through estimating time of flight (TOF) of the transmitted signal. In this paper, we present a highly accurate positioning...
In this paper, we investigate the modulation recognition method based on locality preserved projection (LPP) in AWGN channels. Feature extraction is the precondition of signal modulation recognition. Based on analyzing the characteristic of signal in time and frequency domain, seven feature parameters with fine classification information are selected. In order to wipe off the relativity among different...
Cooperative sensing is a process of getting spatial diversity gains to improve the performance of system over impaired cognitive radio networks (CRN). In this paper, an improved generalized extreme studentized deviate (IGESD) method is proposed for effective cooperative sensing, where the algorithm checks the normality of the soft decision data using Shapiro-Wilk (SW) test and estimates the expected...
With coming base station equipped with active antenna system (AAS) it is believed that the output power transmitted in the desired direction of a base station needs to be measured over the air. This in contrast to the conducted measurements performed today. The EIRP achieved by the beams radiated from a base station will affect the coverage and performance of a mobile network. The accuracy with what...
This paper proposes a high-resolution DOA (Direction Of Arrival) estimation method using GROUSE and EM algorithms for low-cost array antenna system. The low-cost array antenna system, which uses less receiver modules than array elements, often leads worse DOA estimation accuracy when comparing with the full-cost array antenna system. The proposed method first employs the modified GROUSE algorithm...
Fast and accurate fault classification in transmission lines is important for any protection devices. The present of extra transient signals cause to phase misclassification and malfunction of protection devices. Thus, it is crucial to provide a proper protection scheme that offer a good classification performance when the signals are influenced by noise. This paper presents a comparative study of...
Vehicular Ad Hoc Networks (VANETs) allows the exchange of messages between neighboring vehicles or roadside units (RSU). The performance of VANET applications is subject to the ability of determining the location of the vehicles at anytime and anywhere within the network, and thus demands real-time, precise position of vehicles. Accordingly, a number of methods and protocols have been proposed to...
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