论文部分内容阅读
解卷是由已知冲激响应力为h(t)的线性系统的输出y(t)求解输入X(t)的过程,是数字信号处理的基本问题。本文对超声回波信号处理的解卷问题作了全面的综述,解卷方法对提高超声回波检测的分辨力有重要影响。本文在介绍了超声回波的数学模型后,介绍了超声解卷的一般概念,重点介绍了基于维纳滤波理论的解卷、基于卡尔曼滤波理论的解卷和极大似然解卷方法,分别阐述了各种解卷方法的原理、过程和优缺点。其中极大似然解卷法是一种高分辨率的技术,为改进其计算量较大的困难而发展了递归算法。
Deconvolution is the process of solving input X (t) by the output y (t) of a linear system of known impulse response h (t), which is the basic problem of digital signal processing. This paper gives a comprehensive review of the problem of unwrapping ultrasonic echo signal processing. The unwinding method has an important impact on improving the resolution of ultrasonic echo detection. After introducing the mathematical model of ultrasonic echo, this paper introduces the general concept of ultrasonic unwrapping, mainly introduces the unwrapping based on Wiener filter theory, the unwrapping and maximum likelihood deconvolution based on Kalman filter theory, The principles, processes, advantages and disadvantages of various methods of deconvolution are elaborated respectively. The maximum likelihood deconvolution method is a high-resolution technique, and a recursive algorithm has been developed to improve its computational complexity.