【摘要】 在离散序列的Gabor展式的统一框架下，对周期（或有限）的离散信号在特征抽样情况下的Gabor系数用神经网络进行求解．本文构造了神经网络模型，给出了两种实现算法，模拟实验结果说明该方法是有效的．更多还原

【Abstract】 Under the general frame of Gabor expansion of discrete sequences, the Gabor expansion coefficients of periodic (or finite) discrete signals in the critical sampling case are computed by the neural network. The neural network model is constructed and two of its algorithms are given. The efficiency of this method is demonstrated by computer simulation results.更多还原