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非数字式反演数据的量化单调消噪方法
A METHOD OF QUANTIZED MONOTONIC DENOISING IN NON-DIGITAL INVERSION DATA PROCESSING
【摘要】 力学反问题的数据处理有益于提高反演结果的准确度.针对两类反演数据之一的非数字式反演数据,提出了量化单调消噪方法及其多尺度分析,建立了两个由数据处理提升反演准确度的评价准则.文末给出了一个数值试验,分别对测量数据和正演加噪数据进行优化处理,获得了准确度提高的反演参数.
【Abstract】 Data processing in a mechanical inverse prob-lem is beneficial to enhancing inversion accuracy. The current paper is dealt with non-digital inversion data processing. A method of quantized monotonie denoising and the rnultiscale analysis are proposed with two criterions to evaluate the inversion accuracy enhanced by data processing. In the end, a numerical test to optimize individually measured data with noise and direct data with added noise is provided, and then more accurate inversion parameters are obtained.
【关键词】 反问题;
准确度;
非数字式数据;
量化单调消噪;
【Key words】 inverse problem; accuracy; non-digital data; quantized monotonie denoising;
【Key words】 inverse problem; accuracy; non-digital data; quantized monotonie denoising;
【基金】 国家自然科学基金项目(10072014);高等学校博士点专项基金项目(2000014107)资助.
- 【文献出处】 力学与实践 ,Mechanics and Engineering , 编辑部邮箱 ,2003年05期
- 【分类号】O241
- 【被引频次】1
- 【下载频次】30