线性反演 meaning in English
linear inversion
Examples
- Genetic algorithm and multi - grid technique applied to two - step linear inversion method
遗传算法和多重网格在两步线性反演中的应用 - As a whole , the result of wave impedances mixed inversion based on genetic algorithms is more satisfactory than that of linear inversion
总体上，基于遗传算法的波阻抗混合反演的结果是令人满意的，优于仅采用线性反演的反演结果。 - This paper gained correlation conclusion about linear inversion pass through large numbers of test calculates , put emphasis upon the discussion of run parameters " acquired value extent about this algorithm is applied to wave impedance , gained the reference acquired value extent of run parameters
通过大量的试算，给出了线性反演的相关结论，重点讨论了采用本文编制的遗传算法用于波阻抗反演的运行参数的取值范围，并由试算结果给出了运行参数的参考取值范围。 - In this paper , taking the measured error sound velocity profile as the initial guess value , the sound beam travel times and beam angle recorded by the multi - beam system and the generalized linear inversion method are used to get a sound velocity profile close to the actual sound velocity profile , and the inversed sound velocity profiles have contributed to the reduction of sound velocity profile error
摘要以测得的误差声速剖面作为初始猜测值，利用多波束记录到的波束传播时间和波束角等信息，通过广义线性反演得到一个与实际声速剖面比较接近的声速剖面，这有助于减少声速剖面的误差。 - Multi - channel deconvolution , based on multi - channel signal analysis , is presented to recover receiver function from three - component teleseismic p waveforms clustered within certain backazimuth and epicenter distance , to increase the resolution of receiver function . wavelet inversion is also introduced to broadband receiver function , to solve for nonuniqueness cased by linear approximation of nonlinear problem , and broadband receiver function is decomposed into multi - resolution versions , and the inversion result for the low - resolution version is iteratively taken as the initial model for the high - resolution , and gradually obtain the inversion model for broadband receiver function
为克服广义线性反演对初始模型的依赖性，并保持其快速收敛的特点，本文首次将小波变换引入到接收函数波形反演，将接收函数分解到不同的分辨尺度上，分别进行广义线性反演，并将低分辨率的反演结果作为高分辨率反演的初始模型，渐近地获取宽频带接收函数的模型，克服了非线性问题线性化带来的非唯一性。