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- 利用人工神经网络算法对人体心电信号进行特征提取并进行识别
pipeilvboqi
- 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
1234-bp
- bp神经网络识别语音信号，是个很好的学习资料-BP neural network recognition of speech signals, is a very good learning materials
MFL
- 基于改进BP神经网络算法的管道缺陷漏磁信号识别-Identification of magnetic flux leakage signals of Pipeline Defects Based on improved BP neural network algorithm
rx466
- 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
qi777
- 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.
1835
- 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.
seqkd
- BP神经网络用于函数拟合与模式识别，Pisarenko谐波分解算法,给出接收信号眼图及系统仿真误码率。- BP neural network function fitting and pattern recognition, Pisarenko harmonic decomposition algorithm, The received signal is given eye and BER simulation systems.