K-SVD 源代码

K-SVD是一种经典的字典训练算法,依据误差最小原则,对误差项进行SVD分解,选择使误差最小的分解项作为更新的字典原子和对应的原子系数,经过不断的迭代从而得到优化的解。

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源码文件

Using as Node:M68K-opcodes, Previous:M68K-Directives, Up:M68K-Dependent

源码文件

Using as Node:AMD29K Syntax, Next:AMD29K Floating Point, Previous:AMD29K Options

源码文件

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