使用共轭梯度算法的实时反卷积

T. Sarkar, R.D. Brown
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引用次数: 3

摘要

提出了一种用迭代法解决反卷积问题的方法,并在AT&T DSP-32处理器上实时实现。给定线性系统的输出和传递函数,给出了一个计算输入时间函数的程序。由于通常有无限多的输入会产生相同的输出时间函数,所以这个问题不能直接解决。然而,使用迭代方法有可能收敛到一个解。该技术使用共轭梯度算法获得候选输入函数,并根据其在频域的周期性对其进行后处理,以提高分辨率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real time deconvolution using the conjugate gradient algorithm
A solution to the deconvolution problem is presented using iterative methods, which has been implemented in real time on the AT&T DSP-32 processor. Given the output of a linear system, and its transfer function, a procedure is shown to compute the input time function. Since there are, in general, infinitely many inputs which will produce the same output time function, the problem cannot be solved directly. However, using an iterative approach it is possible to converge to one solution. The technique uses the conjugate gradient algorithm to obtain a candidate input function and post processes the function based on its periodicity in the frequency domain to enhance resolution.<>
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