High-speed separation of anechoic mixtures of speech signals using fusion of iterative and closed-forms separation method

2015 ◽  
Vol 23 ◽  
pp. 2043-2055
Author(s):  
Mahdi MAHDIKHANI ◽  
Mohammad Hossein KAHAEI
Keyword(s):  
High Speed ◽  
Separation Method ◽  
Speech Signals

Airflow‐induced high‐speed separation method for stacked paper labels and its mechanism

2020 ◽  
Vol 34 (1) ◽  
pp. 35-50
Author(s):  
Xin He ◽  
Ning Huang ◽  
Xiaoping Li ◽  
Yihao Zhou
Keyword(s):  
High Speed ◽  
Separation Method

scholarly journals Development of online-storage inner-recycling counter-current chromatography for the preparative separation of complex components of alkylphenols from sarcotesta of Ginkgo biloba L.

RSC Advances ◽  
2018 ◽  
Vol 8 (60) ◽  
pp. 34321-34330 ◽  
Author(s):  
Daijie Wang ◽  
Xiangyun Song ◽  
Huijiao Yan ◽  
Mengmeng Guo ◽  
Ruiming Fu ◽  
...  
Keyword(s):  
Natural Products ◽  
Ginkgo Biloba ◽  
High Speed ◽  
Separation Method ◽  
Preparative Separation ◽  
Online Storage ◽  
Counter Current ◽  
Complex Components

High-speed counter-current chromatography (HSCCC) is becoming an effective and non-absorptive separation method from natural products.

Miniaturized Capillary Isoelectric Focusing (cIEF): Towards a Portable High-Speed Separation Method

2000 ◽  
pp. 367-370 ◽  
Author(s):  
A. E. Herr ◽  
J. I. Molho ◽  
J. G. Santiago ◽  
T. W. Kenny ◽  
D. A. Borkholder ◽  
...  
Keyword(s):  
Isoelectric Focusing ◽  
High Speed ◽  
Separation Method ◽  
Capillary Isoelectric Focusing

scholarly journals An Algorithm of Daubechies Wavelet Transform in the Final Field When Processing Speech Signals

Electronics ◽  
2018 ◽  
Vol 7 (7) ◽  
pp. 120 ◽  
Author(s):  
Dmitry Popov ◽  
Artem Gapochkin ◽  
Alexey Nekrasov
Keyword(s):  
Wavelet Transform ◽  
High Speed ◽  
Information Technologies ◽  
Large Scale ◽  
Digital Processing ◽  
Speech Signals ◽  
Discrete Wavelet ◽  
Daubechies Wavelet ◽  
Rounding Errors ◽  
Large Scale Analysis

Development and improvement of a mathematical model for a large-scale analysis based on the Daubechies discrete wavelet transform will be implemented in an algebraic system possessing a property of ring and field suitable for speech signals processing. Modular codes are widely used in many areas of modern information technologies. The use of these non-positional codes can provide high-speed data processing. Therefore, these algebraic systems should be used in the algorithms of digital processing of signals, which are characterized by processing large amounts of data in real time. In addition, modular codes make it possible to implement large-scale signal processing using the wavelet transform. The paper discusses examples of the Daubechies wavelet transform application. Integer processing, presented in the paper, will reduce the number of rounding errors when processing the speech signals.

scholarly journals A new blind separation method for under-determined speech signals based on single source interval pre-extraction

2021 ◽  
Vol 336 ◽  
pp. 04012
Author(s):  
Xiangning Hao ◽  
Guixin Zhang ◽  
Liqiong Deng
Keyword(s):  
Separation Method ◽  
New Method ◽  
Source Analysis ◽  
Speech Signals ◽  
Frequency Interval ◽  
Extraction Operation ◽  
Single Source ◽  
Blind Separation ◽  
Time Frequency ◽  
Simulation Results

A new method is proposed to realize the blind separation of speech signals under underdetermined conditions. Before estimating the mixed parameters, the single-source interval pre-extraction operation first "filters" out a part which is obviously not a single source. The time-frequency interval of the source analysis domain category.The simulation results show the good performance of the algorithm.

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