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分析了时频联合分布算法中核函数的作用。针对现有算法中存在的问题，提出了用简化的霍夫变换在平面提取信号自项成分，生成一个随输入信号变化的核函数的新算法，从而把信号自项与交叉项的分离问题转化为二值图像中过定点的直线检测问题。仿真结果表明，该方法克服了现有算法的不足，在保持信号自项的幅值正确计算的前提下，很好地衰减了交叉项。
The function of kernel function in time-frequency joint distribution algorithm is analyzed. Aiming at the existing problems in the existing algorithms, this paper proposes a new algorithm to extract the self-component of the signal by using the simplified Huff transform and generate a kernel function that varies with the input signal, so as to transform the separation of the signal from the term and the cross term It is a straight line detection problem of over-point in binary image. The simulation results show that this method overcomes the shortcomings of the existing algorithms and attenuates the cross term well, keeping the signal amplitude correctly calculated.