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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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对采集到的电压信号进行小波包分解提取特征向量，再进行BP神经网络训练-On the acquisition of the voltage signal to the wavelet packet decomposition to extract feature vector and then BP neural network training
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通过采用神经网络中的Clipping方法和MonteCarlo修改学习算法，对用于光学模式识别的纯相位二值化匹配滤波器进行了优化设计。计算机模拟结果表明，和传统的纯相位匹配滤波器的相关输出结果相比，其识别输出的信噪比和信号相关峰值得到了明显的提高，从而为今后的光学实现奠定了良好的基础。-Through the use of neural network methods and MonteCarlo modify Clipping learning algorithm for optical pa
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小波神经网络的信号调制识别研究小波神经网络的信号调制识别研究-Wavelet neural network identification of signal modulation wavelet neural network identification of signal modulation
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从脑电信号的分析出发,论述了频域分析、时域分析等脑电图分析中常用的信号分析方法和特点,特别介绍了Wigner分布、小波变换和匹配跟踪等时频分析方法、人工神经网络和非线性动力学方法在脑电信号分析和处理中的应用情况。
-From the analysis of eeg, discusses the frequency domain and time domain analysis analysis in the analysis of the commonly used eeg signal a
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解决了非线性函数的逼近问题,实现了BP神经网络在非线性函数逼近中的应用。得出了信号的频率与隐含点之间，隐含点与函数逼近能力之间的关系——隐含层神经元数目越多。-Solved the problem of nonlinear function approximation, and realized the application of the BP neural network in nonlinear function approximation. Between signal frequenc
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基于神经网络的FSK信号解调技术研究,希望那些对于神经网络有研究的人有帮助。-Based on Neural Network FSK signal demodulation techniques, hope that those who have studied the neural network to help people.
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基于svm的一维信号的回归预测，精确度优于传统的神经网络方法-The one-dimensional signal based svm regression prediction accuracy is better than traditional neural network method
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基于人工神经网络的常用数字信号调制，包括主成分分析、因子分析、贝叶斯分析，毕设内容，高光谱图像基本处理。- The commonly used digital signal modulation based on artificial neural network, Including principal component analysis, factor analysis, Bayesian analysis, Complete set content, basic hyperspectra
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基于人工神经网络的常用数字信号调制，FIR 底通和带通滤波器和IIR 底通和带通滤波器，旋转机械二维全息谱计算的实用例程。- The commonly used digital signal modulation based on artificial neural network, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Rotating Machinery dimension
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基于欧几里得距离的聚类分析，基于人工神经网络的常用数字信号调制，利用最小二乘法进行拟合多元非线性方程。- Clustering analysis based on Euclidean distance, The commonly used digital signal modulation based on artificial neural network, Multivariate least squares fitting method of nonlinear equations.
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包括压缩比、运行时间和计算复原图像的峰值信噪比,实现了对10个数字音的识别程序基于人工神经网络的常用数字信号调制。- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Realization of 10 digital audio recognition program The commonly used digital signal modulation
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微分方程组数值解方法，music高阶谱分析算法，基于人工神经网络的常用数字信号调制。- Numerical solution of differential equations method, music higher order spectral analysis algorithm, The commonly used digital signal modulation based on artificial neural network.
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已调制信号计算其普相关密度，有小波分析的盲信号处理，BP神经网络用于函数拟合与模式识别。- Modulated signals to calculate its density Pu-related, There Wavelet Analysis Blind Signal Processing, BP neural network function fitting and pattern recognition.
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光纤陀螺输出误差的allan方差分析，BP神经网络用于函数拟合与模式识别，使用高阶累积量对MPSK信号进行调制识别。- allan FOG output error variance analysis, BP neural network function fitting and pattern recognition, Using high-order cumulants of MPSK signal modulation recognition.
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信号处理中的旋转不变子空间法，BP神经网络的整个训练过程,基于人工神经网络的常用数字信号调制。- Signal Processing ESPRIT method, The entire training process BP neural network, The commonly used digital signal modulation based on artificial neural network.
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有循环检测，周期性检测，基于人工神经网络的常用数字信号调制，music高阶谱分析算法。- There are cycle detection, periodic testing, The commonly used digital signal modulation based on artificial neural network, music higher order spectral analysis algorithm.
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具有丰富的参数选项,基于人工神经网络的常用数字信号调制，计算互信息非常有用的一组程序。- It has a wealth of parameter options, The commonly used digital signal modulation based on artificial neural network, Mutual information is useful to calculate a set of procedures.
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实现典型相关分析，复化三点Gauss-lengend公式求pi，基于人工神经网络的常用数字信号调制。- Achieve canonical correlation analysis, Complex of three-point Gauss-lengend the Formula pi, The commonly used digital signal modulation based on artificial neural network.
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BP神经网络用于函数拟合与模式识别，基于SVPWM的三电平逆变的matlab仿真，包括压缩比、运行时间和计算复原图像的峰值信噪比。- BP neural network function fitting and pattern recognition, Based on SVPWM three-level inverter matlab simulation, Including compression ratio, image restoration computing uptime and
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