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主要研究了超声回波信号的小波分析算法和BP神经网络算法。在超声检测中，作为检测基本数据的脉冲反射回波信号受到电子噪声和结构噪声的干扰，-major study of the ultrasonic echo signal wavelet analysis algorithm and BP neural network algorithm. In ultrasonic testing, to detect the basic data pulse echo signals reflected by
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Contains a common array signal processing algorithm, Data analysis, plotting, etc., Is a two hidden layer back propagation neural network.
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Suppressed carrier type differential phase modulation, The entire training process BP neural network, Convolution operation is intended to signal and image rendering.
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Includes the modulation, demodulation, signal to noise ratio calculation, BP neural network function fitting and pattern recognition, Calculation of growth, entry-level program grain.
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Fractional Fourier transform computing, The commonly used digital signal modulation based on artificial neural network, Including single sideband, double sideband, suppressed carrier and quadruple.
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Import data files as input parameters matlab program is running, The commonly used digital signal modulation based on artificial neural network, Channel coding, modulation, channel estimation.
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MIMO OFDM matlab simulation, Gaussian white noise generator, The commonly used digital signal modulation based on artificial neural network.
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The entire training process BP neural network, There Wavelet Analysis Blind Signal Processing, Iterative self-organizing data analysis.
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