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Showing 1-25 of 57,211 resultsfor "Index Terms":signal mapping
"Index Terms":signal mapping
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Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models
S. Faisan;L. Thoraval;J.-P. Armspach;M.-N. Metz-Lutz;F. Heitz
A novel functional magnetic resonance imaging (fMRI) brain mapping method is presented within the statistical modeling framework of hidden semi-Markov event sequence models (HSMESMs). Neural activation detection is formulated at the voxel level in terms of time coupling between the sequence of hemodynamic response onsets (HROs) observed in the fMRI signal, and an HSMESM of the hidden sequence of t...Show More
Efficient assignment algorithm for mapping multidimensional signals into the physical memory
2008 IEEE International Conference on Acoustics, Speech and Signal Processing
Year: 2008 | Conference Paper |
Cited by: Papers (1)
The storage requirements in data-intensive multidimensional signal processing systems have a significant impact on the system performance as well as on essential design parameters, like the overall power consumption and chip area. This paper addresses the problem of efficiently mapping the multidimensional signals from the algorithmic specification of the system into the physical memory. Different...Show More
The high-frequency weak signal detection based on stochastic resonance
2009 International Conference on Test and Measurement
Year: 2009 | Conference Paper |
Cited by: Papers (2)
Aiming at the issue of the traditional stochastic resonance only applicable to deal with low-frequency signals, a high-frequency weak signal detection method based on stochastic resonance is proposed. By analyzing the relationship among the traditional stochastic resonance model parameters, the input signal amplitude, the noisy signal and the signal to noise ratio of output, an additional gain is ...Show More
Non-invasive Fetal ECG Signal Quality Assessment based on Unsupervised Learning Approach
Xintong Shi;Kohei Yamamoto;Tomoaki Ohtsuki;Yutaka Matsui;Kazunari Owada
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2022 | Conference Paper |
Cited by: Papers (7)
The non-invasive fetal electrocardiogram (FECG) derived from abdominal surface electrodes has been widely used for fetal heart rate (FHR) monitoring to assess fetal well-being. However, the accuracy of FECG-based FHR estimation heavily depends on the quality of FECG signal itself, which can generally be affected by several interference sources such as maternal heart activities and fetal movements....Show More
Batch Drilling Process Quality Inspection Based on Vibration Signal Mapping Model
2010 International Conference on Intelligent Computation Technology and Automation
Year: 2010 | Conference Paper |
To inspect the quality of batch drilling quickly, a new approach based on vibration signals is presented in this paper. Firstly, according to the contact conditions between drilling blades and workpiece, three stages closely related with the drilling quality is extracted from the whole drilling process and they are named the stage of drilling guide, the stage of drilling and the stage of drilling ...Show More
Signal Assignment to Hierarchical Memory Organizations for Embedded Multidimensional Signal Processing Systems
The storage requirements of the array-dominated and loop-organized algorithmic specifications running on embedded systems can be significant. Employing a data memory space much larger than needed has negative consequences on the energy consumption, latency, and chip area. Finding an optimized storage of the usually large arrays from these algorithmic specifications is an essential task of memory a...Show More
Improving Digital Connectivity Using Real-Time Signal Mapping and Adaptive Network Planning for IoT and 5G Networks
Dileep Reddy Bolla;Apoorva;Aashritha Suresh Poojary;Ramesh Naidu
2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)
Year: 2025 | Conference Paper |
The goal of this project is to increase digital connection in expansive settings, such college campuses, by utilizing 5G IoT Repeaters for adaptive network planning and real-time signal mapping. Weak signal areas in a grid-based model are identified using a MATLAB-based simulation framework, and additional IoT devices (5G Repeaters) are positioned strategically to improve network coverage. Signal ...Show More
In the bit-interleaved coded modulation with iterative decoding, it is desired that any two Hamming neighbors, i.e., signal constellation points whose binary labels are at unit Hamming distance, be separated by a large Euclidean distance. This paper determines the mappings for the 32-ary four-dimensional generalized cross constellation (32-4D-GCC) so that the minimum squared Euclidean distance d2m...Show More
Using recurrence quantification analysis determinism for noise removal in cardiac optical mapping
M.D. Furman;J.D. Simonotto;T.M. Beaver;M.L. Spano;W.L. Ditto
Selecting signal processing parameters in optical imaging by utilizing the change in Determinism, a measure introduced in Recurrence Quantification Analysis, provides a novel method using the change in residual noise Determinism for improving noise quantification and removal across signals exhibiting disparate underlying tissue pathologies. The method illustrates an improved process for selecting ...Show More
Perturbation analysis of the effects of B1+ errors on parallel excitation in MRI
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2009 | Conference Paper |
Design of RF pulses for parallel excitation using phased array transmit coils in MRI requires the B1 + maps that are estimated from B1 + mapping experiments. This paper characterizes the effects of B1 + mapping errors on the resulting excitation pattern using a small perturbation analysis based on linearization of the Bloch equation. The accuracy of the proposed perturbation analysis is validated ...Show More
JSCC using bandwidth reducing and expanding mappings
2008 11th IEEE Singapore International Conference on Communication Systems
Year: 2008 | Conference Paper |
Cited by: Papers (1)
A joint source channel coding scheme has been proposed to optimize the mapping vector quantizer (VQ)-modulator symbols. The proposed tow-step-algorithm optimizes first the mapping source codes-modulator symbols, and then optimizes VQ against the channel noise. To reach the target codebook size these steps are repeated iteratively. To show the proposed algorithm performance, it has been applied to ...Show More
Three-dimensional filtering approach to brain potential mapping
The spatial distribution of electroencephalogram (EEG) features on the scalp surface, both in time or frequency, is of great importance in clinical applications and medical research. Traditionally, mathematical methods based on interpolation algorithms have been widely applied to obtain the EEG mappings. This paper presents an innovative approach to reconstructing the brain potential mappings from...Show More
Online methods for radio signal mapping with mobile robots
2010 IEEE International Conference on Robotics and Automation
Year: 2010 | Conference Paper |
In this paper we explore methods for the online mapping of received radio signal strength with mobile robots and localizing the source of the radio signal. By utilizing Gaussian processes, we are able to build an online model of the signal-strength map that can, in turn, be used to provide the current maximum likelihood estimate of the source location. Furthermore, using the estimate of the source...Show More
GCPS: A CNN Performance Evaluation Criterion for Radar Signal Intrapulse Modulation Recognition
IEEE Communications Letters
Cited by: Papers (20)
In radar intrapulse modulation recognition through convolutional neural networks (CNN), the recognition rate vis-a-vis varying signal-to-noise ratios (SNRs) is utilized to analyze the performance of networks. However, three shortcomings exist in this realm, (1) Proportional increase in recognition rate up to 100%, due to SNR increase, leading to saturation. (2) The dependency of recognition rate o...Show More
Design and Implementation of WebGIS in Wireless Coverage Test System Based on Web Technologies
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
Year: 2020 | Conference Paper |
In order to visualize and analyze the Wireless Signal Coverage Test data from a unique perspective, we designed and implemented a software built-in GIS in the process of developing the desktop software of wireless signal measurement-analysis system based on web technologies. The GIS is developed based on open source web technologies, supports a variety of online and offline tiles maps, can be togg...Show More
Application of integrated reflected GPS signals L1/L2 observation and DTED techniques with an integrated GPS receiver for remote sensing stream flow
Lie-Chung Shen;Jyh-Ching Juang;Ching-Lang Tsai;Ching-Liang Tseng;Ping-Ya Ko;Houng-Shenq Chen
2007 International Waveform Diversity and Design Conference
Year: 2007 | Conference Paper |
In the paper, a new application and development of a highly integrated GPS receiver with reflected GPS signals for ground object detection and digital terrain elevation mapping will be described. Several application considerations have been analyzed in order to successfully acquire and track weak, reflected GPS signals from ground surface. First of all, both RHCP and LHCP antennas are employed so ...Show More
Blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is a widely used method for brain mapping. BOLD fMRI signal detection is based on an intravoxel dephasing mechanism. This model involves bulk nuclear spin precession in a BOLD-induced inhomogeneous magnetic field within a millimeter-resolution voxel, that is, BOLD signal formation spans a huge spatial scale range...Show More
Novel Method for Multi-Dimensional Mapping of Higher Order Modulations for BICM-ID Over Rayleigh Fading Channels
Multi-dimensional (MD) mapping offers more flexibility in mapping design for bit-interleaved coded modulation with iterative decoding (BICM-ID) and potentially improves the bandwidth efficiency. However, for higher order signal constellations, finding suitable MD mappings is a very complicated task due to the large number of possible mappings. In this paper, a novel mapping method is introduced to...Show More
Analysis of outdoor propagation and multi-cell coverage from ray-based simulations in sub-6GHz and mmwave bands
Yoann Corre;Thierry Tenoux;Julien Stéphan;Florian Letourneux;Yves Lostanlen
2016 10th European Conference on Antennas and Propagation (EuCAP)
Year: 2016 | Conference Paper |
Cited by: Papers (11)
This paper analyses the outdoor small-cell millimeter-wave (mmW) propagation using ray-based simulation tools. The main characteristics of the wireless channel, i.e. path loss, delay and angular spreads, are characterized through various small-cell scenarios, and by comparison between several frequency bands. The 2.4 GHz and 5 GHz bands represent the traditional sub-6GHz frequencies in public radi...Show More
Spatial dependence of CBV-fMRI: a comparison between VASO and contrast agent based methods
2006 International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2006 | Conference Paper |
Cited by: Papers (17)
In functional magnetic resonance imaging (fMRI), the cerebral blood volume (CBV) based approach with exogenous contrast agent has been found to have better spatial specificity than the widely applied blood oxygenation level-dependent (BOLD) method. Recently, an endogenous CBV-based contrast, vascular space occupancy-dependent (VASO) technique, was developed for human research. However, the spatial...Show More
Composition of approximated body-surface-potential-maps by utilizing a common 12-lead-ECG device
A procedure is introduced that allows approximations of body surface potential maps (BSPM) to be obtained by utilizing commonly available digital 12-lead-electrocardiogram (ECG) systems. These Pseudo-BSPMs contain most of the averaged spatio-temporal information for a single characteristic beat. The underlying signal processing is described in detail. The algorithms including an online method veri...Show More
Signal Mapping for Bit-Interleaved Coded Modulation Schemes to Achieve Secure Communications
Weichen Xiang;Stéphane Le Goff;Martin Johnston;Kanapathippillai Cumanan
In this letter, we investigate different signal mappings for bit-interleaved coded modulation (BICM) and their effect on the secrecy information rate of a wire-tap channel exhibiting Rayleigh fading. By focusing on BICM schemes using 64 QAM, 16 QAM and (1, 5, 10) signal constellations, we show that the optimal mapping depends on the range of signal-to-noise ratios (SNRs) we are interested in. We p...Show More
Efficient Heuristics for Minimizing Communication Overhead in NoC-based Heterogeneous MPSoC Platforms
Amit Kumar Singh;Wu Jigang;Alok Prakash;Thambipillai Srikanthan
2009 IEEE/IFIP International Symposium on Rapid System Prototyping
Year: 2009 | Conference Paper |
Cited by: Papers (16)
The number of tasks executing in MPSoC platform can exceed the available resources, requiring efficient run-time mapping strategies to meet the real-time constraints of the applications. This paper describes two new run-time mapping heuristics for mapping applications onto NoC-based heterogeneous multiprocessor systems-on-chip (MPSoC). The heuristics proposed in this paper attempt to map the tasks...Show More
Blind Source Separation Algorithm Based on Maximum Signal Noise Ratio
2008 First International Conference on Intelligent Networks and Intelligent Systems
Year: 2008 | Conference Paper |
Cited by: Papers (7)
A low computational complexity instantaneous linear mixture signals blind separation algorithm was proposed, which is based on the character that Signal Noise Ratio (SNR) is maximal when statistically independent source signals are completely separated, and it is used as a separation contrast. Source signals are replaced by moving average of estimate signals. The function of covariance matrixes of...Show More
UAV-Assisted Ground Signal Map Construction based on 3-D Spatial Correlation
GLOBECOM 2020 - 2020 IEEE Global Communications Conference
Year: 2020 | Conference Paper |
Cited by: Papers (4)
Mobile crowdsensing (MCS) has been applied for signal map construction in smart city. However, it is still costly for MCS to cover large-scale regions. Accordingly some data recovery algorithms are proposed, which allow participants to collect only few signal data and infer the rest of missing data by leveraging spatial-temporal correlation of signals. However, existing work only considered the te...Show More
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