1) sparse representation and decomposition
稀疏表示和分解
2) sparse representation
稀疏表示
1.
Image denoising based on adaptive over-complete sparse representation
基于自适应超完备稀疏表示的图像去噪方法
2.
This paper discusses the recoverability of underdetermined blind source separation(BSS),based on a two-stage sparse representation approach.
基于一种两步稀疏表示的方法,利用随机框架讨论欠定盲源分离的恢复能力。
3.
By adopting the method of sparse component analysis,it discusses the recoverability of underdetermined blind source separation based on sparse representation.
采用稀疏分量分析方法,研究了基于稀疏表示的欠定混叠盲信号分离的可恢复性,给出了在l2范数下,源信号可恢复的充分必要条件,并进一步讨论了l2范数解对噪声的鲁棒性。
3) sparse decomposition
稀疏分解
1.
Improved GA-based MP algorithm for signal sparse decomposition;
基于GA和MP的信号稀疏分解算法的改进
2.
Algorithm of particle swarm optimization used in sparse decomposition of electrocardiograms;
粒子群优化在心电信号稀疏分解中的应用
3.
New method for signal sparse decomposition over a redundant dictionary;
一种冗余字典下的信号稀疏分解新方法
4) sparse signal representation
稀疏信号表示
1.
Amplitude bias and its elimination in sparse signal representation;
稀疏信号表示中的幅度偏差及消除方法
2.
As a new sparse signal representation algorithm,SBL(sparse Bayesian learning) method has no structural error as BP and has much fewer local minima than FOCUSS.
作为一种新的稀疏信号表示算法,SBL(稀疏贝叶斯学习)方法没有BP方法的结构错误,也比FOCUSS方法具有少的多的局部最小点。
3.
As sparse signal representation has greater flexibility in matching structure in the signal,it can be used in ISAR imaging.
稀疏信号表示在与信号结构匹配方面具有很大的灵活性,可以用于逆合成孔径雷达(ISAR)成像。
5) Image sparse representation
图像的稀疏表示
6) sparse express algorithm
稀疏表示算法
补充资料：稀疏
1.亦作"稀疎"。 2.不稠密。 3.犹言冷落﹐疏远。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条