
【计】 Harr condition
ah
like so; you
capitulation; condition; factor; if; prerequisite; qualification; requirement
term
【计】 condition; criteria
【医】 condition
【经】 condition; proviso; terms
哈尔条件(Haar condition)是数学中与最佳一致逼近理论相关的重要概念,主要用于保证逼近解的唯一性。以下是详细解释:
哈尔条件要求一组连续函数在给定区间上满足线性无关性的严格条件。具体来说,若函数组${f_1(x), f_2(x), dots, f_n(x)}$在区间$[a,b]$上满足哈尔条件,则以下两点成立:
以多项式基${1, x, x}$为例,在区间$[a,b]$上,该组函数满足哈尔条件,因为任意三个不同点构成的范德蒙德矩阵行列式非零,从而保证了三次多项式插值的唯一性。
如需进一步了解哈尔条件的等价定义或数学证明,可参考和中的文献。
哈尔条件(Haar condition)是计算机视觉中的一个概念。在图像处理中,人们经常会使用一些特定的算法对图像进行处理,其中就有基于哈尔小波(Haar wavelets)的算法。在使用这些算法进行图像处理的时候,为了避免图像噪点以及过度平滑的情况出现,我们需要满足哈尔条件。
哈尔条件的中文拼音为“hā ěr tiáo jiàn”。
The Haar condition refers to a condition for image processing in computer vision. It is used to prevent image noise and over-smoothing during the use of algorithms based on Haar wavelets.
The English pronunciation of Haar condition is "hahr kuh n-dish-uhn".
The Haar condition is a technical term used specifically in the field of computer vision, particularly in image processing using algorithms based on Haar wavelets.
The Haar condition is a technical term that is not commonly used outside of the field of computer vision and image processing. However, within this field, it is a critical concept that is essential to the success of many algorithms based on Haar wavelets.
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