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现有数字信号自动调制识别方法大多只适用于无记忆信号，如PSK、ASK、FSK信号等。将有记忆
信号(MSK信号)和无记忆信号一起考虑，提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统
计量作为特征参数，采用多层神经网络作为分类器。计算机仿真表明：当噪声采用高斯白噪声，并且信噪比大于
l5 dB时，识别率高于96％ ；当信噪比不低于l0 dB时，识别率不低于90％。,Existing digital signal automatic modulation recognition
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Neural Network Based Threshold Determination
for Malaysia License Plate Character Recognition
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两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance,
face tracking, and face recognition. Efficient face and facial feature det
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Speech Recognition using Neural Networks
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recognition with Back Propogation neural network
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人脸识别是机器视觉和模式识别领域最富有挑战性的课题之一，同时也具有较为广泛的应用意义。人脸识别技术是一个非常活跃的研究领域，它覆盖了数字图像处理、模式识别、计算机视觉、神经网络、心理学、生理学、数学等诸多学科的内容。如今，虽然在这方面的研究已取得了一些可喜的成果-Face recognition is the field of machine vision and pattern recognition, one of the most challenging issues, but also
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Voice recognition using neural network PDF journal
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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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pdf for fingerprint from ieee include:
PIPELINED MINUTIAE EXTRACTION FROM FINGERPRINT IMAGES
A Novel Principal Component Analysis Neural Network Algorithm for Fingerprint Recognition
in Online Examination System
Processing of Distorted Finger
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本文详细阐述了小波神经网络在脑电信号数据压缩与棘波识别中的应用-This paper describes the neural network in EEG data compression and spikes Recognition
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A NEURAL-NETWORK APPROACH FOR MOVING OBJECTS RECOGNITION IN COLOR IMAGE SEQUENCES FOR FURVEILLANCE APPLICATIONS
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Finger Print recognition using neural networks
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本程序为神经网络学习中的第一个项目程序，主要瞎用神经网络的算法进行目标学习和识别，并应用加噪和去噪算法进行比较-This program is the first item in the neural network learning process, the major blind with neural network algorithm for target learning and recognition, and application plus noise and de-noisin
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This good paper on speech recognition using neural networks with WEKA tool-This is good paper on speech recognition using neural networks with WEKA tool
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Survey of Neural Network Technology for Automatic Target Recognition
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Handwritten Recognition using Neural Networks Based on Multiple Feature Extraction Algorithms
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The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in
which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used i
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文件包括很多种方法，Gabor小波变换，神经网络等算法，代码便于理解，希望大家下载指正-Files include a wide variety of methods, Gabor wavelet transform and neural network algorithm, the code easy to understand, I hope you download the correct
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一个基于带动量项的BP神经网络语音识别的例子-A drive the amount of the BP neural network based speech recognition as an example
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模式识别相关文章，包括SVM与BP神经网络的相关识别研究与进展-Pattern recognition related articles, including related research and development of SVM Recognition and BP neural network
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