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说话人识别是语音识别的一种特殊方式,其目的不是识别语音内容,而是识别说话人是谁,即从语音信号中提取个人特征。采用矢量量化(VQ)可避免困难的语音分段问题和时间归整问题,且作为一种数据压缩手段可大大减少系统所需的数据存储量。本文提出了识别特征选取采用复倒谱特征参数和对应用VQ的说话人识别系统改进的一种方法。当用于训练的数据量较小时,复倒谱特征可以得到比较稳定的识别性能。VQ的改进方法避免了说话人识别系统的训练时间与使用时间相差过长从而导致系统的性能明显下降以及若利用自相关函数带来的大量运算。-Sp
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此设计为掌型识别系统的设计。人体掌形识别对掌形数据的准确性要求很高,本文的DSP数据采集系统可对CCD获得的人体掌型图像实现快速准确的采集和处理。实验结果表明,系统的可靠性、稳定性好。-The design for the palm-based recognition system design. Identification of the human palm-shaped palm-shaped demanding accuracy of the data, the paper s DSP
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水下机器人作业目标控制和目标识别
摘要:本文着重叙述AUV对特定作业-“水下目标探测与识别”的作业控制和实现过程。叙述水下三维目标的识别机理和识别算法以及为正确识别目标提供最佳条件的预处理、硬件系统和实时处理功能。-Operation of underwater robots to identify goals and objectives of the control Abstract: This paper describes the AUV to a specific operatio
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Automatic license plate recognition
(LPR) is one of the techniques that can be used
for the identification of vehicles. The purpose of
this paper is to investigate a suitable way to
recognize the registration plate from an image of
vehicle,
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本文提出了一种新的车辆许可证盘子识别,并在此基础上提出了一种自适应图像分割方法-In this paper, a new algorithm for vehicle license
plate identification is proposed, on the basis of a novel adaptive
image segmentation technique (Sliding Windows) in
conjunction with a character recogni
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以实例的形式介绍了PRBS辨识系统的方法,是一篇IEEE的文献,希望有帮助。-system identification based on PRBS.
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本文主要介绍一种便携收费终端的设计以及实现的关键技术。此终端具有体积小,功耗低,移动灵活,操作简单等特点。主要有身份证识别,pos机刷卡,远程数据库访问,无线网络等功能。文中详细介绍了系统的硬件组成,软件设计,功能模块的具体实现。本文实现的终端主要针对的是校园学生的收费。-This paper describes the design of a portable terminal charges, and key technologies. This terminal has a small s
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在考试完成后,通过影像方式记录试卷的基本信息信息、学生身份信息,并在自动加密后生成相应的电子化试卷档案存档。用于老师网上改卷,查阅,统计等。-After the examination, by way of recording the image information on paper the basic information, student identification information and automatically generates the appropriate enc
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paper illustrates the various bar coding standards and their respective applications in industries. It also illustrates how the identification of any product can be viewed from multiple prospects on the basis of different types of bar codes. The pape
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Paper about Music Identification
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运动物体检测,模式识别,人体行为识别,实时的,核心英文论文6篇-Moving object detection, pattern recognition, identification of human behavior, real-time,
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对一些人类在视觉上存在明显区别的几何图形, 提出了轮廓搜索 、折点定位的改进算法。通过搜索
出的轮廓折点, 根据它的数量, 以及相邻折点之间连线的相互几何关系, 最后识别出图形的快速算法。本文对大量
几何测试图形用该算法实验, 结果证明该识别算法具有运算速度快, 准确度高的特点, 在图形发生拉伸 、旋转等变
形时也能很好对图形进行识别。-A clear distinction between some human visual geometry, contour search,
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Article_herra Distorted voltage and current waveforms is one of
the problems associated to electric power quality. Continuous
use of non-linear loads provokes the existence of voltage
waveforms with a high distortion. Thus, it is necessary to k
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将生物特征识别应用于人脸,实际上是包含两个方面:第一,从图像或视频帧中检测人脸,即所谓的“人脸
检测”(face detection);第二,对检测到的人脸进行识别,判断这张脸是谁,即“人脸识别”(face recognition)。
就实际应用而言,采用人脸做生物特征识别,其识别率、可靠性都无法与指纹、虹膜识别相提并论,但失
为模式识别中的一个典型应用,至少可以起到抛砖引玉的作用。-Paper of face identification sourc code
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该文提出一种基于广义分数阶傅里叶变换和分数低阶Wigner-Ville 分布的数字调制识别新方法,该方法提取广义分数阶傅里叶变换的零
中心归一化瞬时幅度谱密度的最大值和分数低阶Wigner-Ville 分布幅度的最大值作为识别特征参数,并采用判决树分类器,实现了非高斯噪声下数字调制信号识别。-This paper presents a generalized fractional Fourier transform and fractional lower order Wigner-Vill
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India s No.1 portal for the Engineers!! All prep. material for IIT, AIEEE, other entrance.
Engineering Projects, seminars, paper presentations, semester exam material.
Healthy discussions, informative artivcles, homegrown wikipedia, blogs etc
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基于纹理分析笔迹鉴别系统的设计与实现,文中从笔迹图像预处理、特征提取、分类器以及分类器组合等方而展开研究,设计和实现了一个基于文本独立的离线手写体笔迹鉴别系统软件.-Design and Implementation of the writer identification system based on texture analysis, the paper from the handwriting image preprocessing, feature extraction, classi
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A biometric system provides automatic identification of an individual based on a unique feature or characteristic posse d by the individual. Iris recognition is a part of the biometric identification methodologies which also include facial, fingerpri
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浓酸条件下,高浓度铁离子的鉴定,可以作为论文使用-Concentrated acid conditions, the identification of a high concentration of iron ions, can be used as a paper
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D.Rajeshkumar,Erode matlab ear recognition paper
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