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Search - frequency domain BSS - List
[
matlab
]
OptimumPairingOfBSS
DL : 0
on method for solving permutation problem
Date
: 2025-07-04
Size
: 124kb
User
:
Alireza
[
matlab
]
Bss
DL : 0
利用子空间方法实现复频域信息最大化的matlab程序-Subspace method using complex frequency domain information to achieve maximum matlab program
Date
: 2025-07-04
Size
: 4kb
User
:
lotus611
[
matlab
]
Pearson_ICA
DL : 1
In frequency-domain blind source separation (BSS) for speech with independent component analysis (ICA), a practical parametric Pearson distribution system is used to model the distribution of frequency-domain source signals.-In frequency-domain blind source separation (BSS) for speech with independent component analysis (ICA), a practical parametric Pearson distribution system is used to model the distribution of frequency-domain source signals.
Date
: 2025-07-04
Size
: 21kb
User
:
刘海
[
File Format
]
FD-Pearson-ICA-in-BSS
DL : 0
一种新的频域盲源分离方法,用皮尔逊系统去模拟不同频率上的信号分布,通过信号特征,选择合适的皮尔逊类型的函数去优化分离矩阵,从实现盲源分离.-A new frequency-domain blind source separation method using the Pearson system to simulate a signal on a different frequency distribution, through the signal characteristics, select the appropriate type of function to optimize Pearson separation matrix, from the implementation of blind source separation.
Date
: 2025-07-04
Size
: 766kb
User
:
刘梦蝶
[
Other
]
Time-Frequency-Domain-bss
DL : 0
Time-Frequency Domain b-Time-Frequency Domain bss
Date
: 2025-07-04
Size
: 250kb
User
:
Ali
[
matlab
]
underdetermined bss in time-frequency
DL : 0
使用前请先将信号转换到时频域,最后将信号从时频域转换到时域(please transform the signal into time-frequency domain before using)
Date
: 2025-07-04
Size
: 1kb
User
:
taiyupite
[
matlab
]
卷积盲源分离(2 source 基于能量相关排序)
DL : 1
直接运行Demo文件即可,本算法案例是两源信号卷积混合,基于同一信号相邻频点能量相关的方法对频域盲源分离信号进行排序(The demo file can be run directly. The case of this algorithm is the convolution mixing of two source signals. The Blind Source Separation (BSS) signals in frequency domain are sorted based on the energy correlation method of the adjacent frequency points of the same signal)
Date
: 2025-07-04
Size
: 10kb
User
:
高大帅V5
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