检索结果-内蒙古大学图书馆

A Comparison of Two Synchronization Measures for Neural data

13th International conference on Biomedical Engineering (ICBME)

作者： Perko, H. Hartmann, M. Kluge, T. Austrian Res Ctr GmbH Neuroinformat Vienna Austria

ISBN: (纸本)9783540928409

In this paper we analyze the capability of two different signal synchronization measures to detect synchronized periodic signal components. We compare the periodic synchronization index (PSI), which was first introduced for the detection of epileptic seizures in EEG signals, with the widely known phase locking value (PLV). the PSI automatically detects the dominant periodic signal components utilizing Fourier series expansions and measures the synchronization between equivalent components in two signals. the PLV averages the difference between the analytic phases of two signals. Applying these two measures to synthetic data and EEG recordings we found clear advantages of the PSI over the PLV. Experiments with synthetic data and high signal to noise ratio (SNR) revealed no significant difference between the PSI and the PLV in their ability to detect small frequency deviations. However, in the presence of noise the detection performance of the PLV drops significantly. In particular, we found that the PLV relies on an SNR of nearly 3dB. In contrast, the performance with the PSI remained almost unchanged for SNR down to -4dB. this noise robustness of the PSI is due to the incorporation of harmonic oscillations resulting in an improved estimation of periodic signal components. When applied to the detection of early seizure phenomena in EEG data we found that the increase of the PSI at seizure onset is more pronounced and the variance of the measure during pre-ictal time periods is lower than for the PLV.

关键词： signal synchronization periodic synchronization index phase locking value

来源：评论

学校读者我要写书评

暂无评论

A new method for instantaneous signal period identification by repetitive pattern matching

A new method for instantaneous signal period identification ...

引用

2009 IEEE 13th International Multitopic conference, INMIC 2009

作者： Liscombe, Michael Asif, Amir Department of Computer Science and Engineering York University Toronto ON M3J 1P3 Canada

ISBN: (纸本)9781424448722

Identifying reoccurring patterns within a signal set often yields important information about the signal. Fourier analysis is typically used as a method to determine periodic sinusoidal elements of a given signal;however, it is not able to properly identify near-periodic patterns with small instantaneous changes in the periodicity of the input waveform. To that end, a new transform has been developed which performs a form of high gain correlation on a selected subset of time-localized data points. this transform yields a periodicity vector which accurately identifies a set of samples which are found to be approximately repetitious over a two period timeframe. the transform has been extended to the problem of heart beat detection, referred to as QRS Complex detection in the literature. ©2009 IEEE.

关键词： Pattern matching

来源：评论

学校读者我要写书评

暂无评论

Improvement on signal Strength Detection of Radio Imaging Method for Biomedical Application

引用

13th International conference on Biomedical Engineering (ICBME)

作者： Hieda, I. Nam, K. C. Natl Inst Adv Ind Sci & Technol Tsukuba Cent 6 1-1-1 Higashi Tsukuba Ibaraki Japan KERI Ahnsan South Korea

ISBN: (纸本)9783540928409

the authors were applying Radio Imaging Method (RIM) to measurement of the living human body that was originally developed for geological measurement. small antenna was used to measure electric field intensity changes effectively that was influenced by dielectric material, such as the living body. Experiments were performed with high frequency electric field, such as 50MHz. Water tank was used as phantom of human organ because permittivity of some human organ was as high as that of water. Some problems should be settled that related to the principle and technology. One of the drawbacks was insufficient change of signal strength. When a water tank of 6 x 8 x 25cm was used as a phantom of relatively large human organ, provided signal strength change was approximately 1dB. It only affected lower three bits of 12bit A/D converter instrumented for the experiment. To improve the total resolution, the measurements had been repeated ten to forty times, and the acquired data had been averaged. By improving accuracy of single measurement, the number of trials could be decreased and it was essential for practical systems. In this paper, a new measurement method was introduced. Two plate electrodes of transmission antenna were located side by side, and fed opposed phases to cancel electric field intensity at the receiving antenna that was located 30 cm from the transmission antenna. When dielectric material was located in the measurement field, it broke the balance of electric field, and signal strength change was detected. Because base signal intensity was virtually zero, better resolution was expected than the basic method. the method was tested both by simulation and by experiment. Advantages and disadvantages were discussed based on the results.

关键词： Radio Imaging Method electric field biomedical measurement FDTD Python

来源：评论

学校读者我要写书评

暂无评论

A new method for instantaneous signal period identification by repetitive pattern matching

A new method for instantaneous signal period identification ...

引用

IEEE International conference on Multi Topic

作者： Michael Liscombe Amir Asif Department of Computer Science and Engineering York University Toronto ONT Canada

Identifying reoccurring patterns within a signal set often yields important information about the signal. Fourier analysis is typically used as a method to determine periodic sinusoidal elements of a given signal; however, it is not able to properly identify near-periodic patterns with small instantaneous changes in the periodicity of the input waveform. To that end, a new transform has been developed which performs a form of high gain correlation on a selected subset of time-localized data points. this transform yields a periodicity vector which accurately identifies a set of samples which are found to be approximately repetitious over a two period timeframe. the transform has been extended to the problem of heart beat detection, referred to as QRS Complex detection in the literature.

关键词： signal processing Pattern matching Fourier transforms signal analysis Heart beat Time frequency analysis Electrocardiography Pattern analysis Electrodes Computer science

来源：评论

学校读者我要写书评

暂无评论

Target detection by distributed sensors: distributed sensor concept-DISCO for small target detection

Target detection by distributed sensors: distributed sensor ...

引用

20th conference on signal and data processing of small targets

作者： Rafailov, Michael K. QinetiQ NA Reston VA 20191 USA

ISBN: (纸本)9780819471604

Distributed Sensor Concept - DISCO was proposed [I] for multiplication of individual sensor capabilities through non-coherent cooperative target engagement. the signal processing technique for DISCO is Recursive Adaptive Frame Integration of Limited data - RAFIL technique [2] that was initially proposed as a way to improve the SNR [3], reduce data rate [4] and mitigate FPA noise for IR sensors [5]. In DISCO, the RAFIL technique is used in a segmented way, when constituencies of the technique are spatially and temporally separated between individual sensors. Each sensor provides to and receives data from other sensors in the network. In this paper efficiency of DISCO is discussed for acquisition, accurate handover and track correlation of small targets.

关键词： multiple sensor system distributed sensors distributed apertures accurate target detection frame integration data rate recursive processing double threshold

来源：评论

学校读者我要写书评

暂无评论

Robust scale invariant small target detection using the Laplacian scale-space theory

Robust scale invariant small target detection using the Lapl...

引用

20th conference on signal and data processing of small targets

作者： Kim, Sungho Yang, Yukyung Lee, Joohyoung Park, Yongchan Agcy Defense Dev Taejon 305600 South Korea

ISBN: (纸本)9780819471604

this paper presents a new small target detection method using scale invariant feature. Detecting small targets whose sizes are varying is very important to automatic target detection in infrared search and track (IRST). the conventional spatial filtering methods with fixed sized kernel show limited target detection performance for incoming targets. the scale invariant target detection can be defined as searching for maxima in the 3D (x, y, and scale) representation of an image with the Laplacian function. the scale invariant feature can detect different sizes of targets robustly. Experimental results with real FUR images show higher detection rate and lower false alarm rate than conventional methods. Furthermore, the proposed method shows very low false alarms in scan-based IR images than conventional filters.

关键词： small target robust detection varying size scale invariant scale-space

来源：评论

学校读者我要写书评

暂无评论

A bio-electromechanical imaging technique with combined electrical impedance and ultrasound tomography

引用

PHYSIOLOGICAL MEASUREMENT 2008年第6期29卷 S63-S75页

作者： Steiner, G. Soleimani, M. Watzenig, D. Graz Univ Technol Inst Elect Measurement & Measurement Signal Proc A-8010 Graz Austria Univ Bath Dept Elect & Elect Engn Bath BA2 7AY Avon England

Electrical impedance tomography (EIT) seeks to image the electrical conductivity of an object using electrical impedance measurement data at its periphery. Ultrasound reflection tomography (URT) is an imaging modality that is able to generate images of mechanical properties of the object in terms of acoustic impedance changes. Both URT and EIT have the potential to be used in various medical applications. In this paper we focus on breast tumour detection. Both URT and EIT belong to soft field tomography and suffer from the small amounts of available data and the inherently ill-posed nature of the inverse problems. these facts result in limited achievable reconstruction accuracy and resolution. A dual bio-electromechanical tomography system using ultrasound and electrical tomography is proposed in this paper to improve the detection of the small-size tumour. data fusion techniques are implemented to combine the EIT/URT data. Based on simulations, we demonstrate the improvement of detection of small size anomalies and improved depth detection compared to single modality soft field tomography.

关键词： breast imaging dual modality tomography electrical impedance tomography sensor fusion ultrasound tomography

来源：评论

学校读者我要写书评

暂无评论

Detection of small objects in multi-layered infrared images

Detection of small objects in multi-layered infrared images

引用

20th conference on signal and data processing of small targets

作者： Wang, Jing Bao, Shangqi Ralph, Jason F. Goulermas, John Y. Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3GJ Merseyside England

ISBN: (纸本)9780819471604

this paper uses super-resolution methods to detect small objects in infrared image sequences from a simulated airborne platform, using image registration techniques for automatic sightline stabilisation. the scene consists of multiple layers, corresponding to a static background scene and layers of cloud cover at varying heights. the motivation is to evaluate the performance of super-resolution methods in the presence of three-dimensional structured infrared clutter.

关键词： object detection super-resolution automatic sightline stabilisation infrared imagery clouds

来源：评论

学校读者我要写书评

暂无评论

small object hyperspectral detection from a low-flying UAV

Small object hyperspectral detection from a low-flying UAV

引用

20th conference on signal and data processing of small targets

作者： Murray-Krezan, J. Neumann, J. G. Leathers, R. A. USN Res Lab Washington DC 20375 USA

ISBN: (纸本)9780819471604

small object detection with a low false alarm rate remains a challenge for automated hyperspectral detection algorithms when the background environment is cluttered. In order to approach this problem we are developing a compact hyperspectral sensor that can be fielded from a small unmanned airborne platform. this platform is capable of flying low and slow, facilitating the collection of hyperspectral imagery that has a small ground-sample distance (GSD) and small atmospheric distortion. Using high-resolution hyperspectral imagery we simulate various ranges between the sensor and the objects of interest. this numerical study aids in analysis of the effects of stand-off distance on detection versus false alarm rates when using standard hyperspectral detection algorithms. Preliminary experimental evidence supports our simulation results.

关键词： hyperspectral HSI GSD small object detection

来源：评论

学校读者我要写书评

暂无评论

Aspect aware UAV localization

Aspect aware UAV localization

引用

20th conference on signal and data processing of small targets

作者： Berger, Christian R. Zhou, Shengli Willett, Peter Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA

ISBN: (纸本)9780819471604

We consider target detection and tracking of stealthy targets. these targets can be characterized by a, strong aspect dependence leading to difficult detectability without a multi-static setup. Even in a multi-static setup only sensors in a, certain zone can detect the return signal, if the the aspect dependent return has a small bandwidth. We propose a solution based on a large number of simple sensor, as using many receivers increases the probability of detection. the sensors are simple in the sense that they only transmit binary detection results to a fusion center that has comparatively deep capabilities, and they do not need to know their own position or communicate with other sensors. We characterize the target position estimation performance using the Cramer-Rao bound and simulation results, considering uncertainty in nuisance parameters as the sensor positions or the specifics of the aspect dependence. We suggest a data collection protocol that includes locating sensors that detect the target and has low communication complexity. As a, novelty we also include information about "non-localized" sensors, as sensors which do not detect the target stay quiet to save bandwidth and energy, therefore are not known to the fusion center except via knowledge of the deployed sensor density and deployment region.

关键词： Sensors Target detection signal detection Binary data Unmanned aerial vehicles Receivers Fusion energy signal to noise ratio Error analysis data communications

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：