Application of C Sharp and MATLAB Mixed Programming Based on .Net Assembly in Blind Source Separation

2014 ◽  
Vol 599-601 ◽  
pp. 1407-1410
Author(s):  
Xu Liang ◽  
Ke Ming Wang ◽  
Gui Yu Xin

Comparing with other High-level programming languages, C Sharp (C#) is more efficient in software development. While MATLAB language provides a series of powerful functions of numerical calculation that facilitate adoption of algorithms, which are widely applied in blind source separation (BSS). Combining the advantages of the two languages, this paper presents an implementation of mixed programming and the development of a simplified blind signal processing system. Application results show the system developed by mixed programming is successful.

2005 ◽  
Vol 17 (2) ◽  
pp. 321-330 ◽  
Author(s):  
Shengli Xie ◽  
Zhaoshui He ◽  
Yuli Fu

Stone's method is one of the novel approaches to the blind source separation (BSS) problem and is based on Stone's conjecture. However, this conjecture has not been proved. We present a simple simulation to demonstrate that Stone's conjecture is incorrect. We then modify Stone's conjecture and prove this modified conjecture as a theorem, which can be used a basis for BSS algorithms.


2012 ◽  
Vol 201-202 ◽  
pp. 61-64 ◽  
Author(s):  
Long Zhang ◽  
Guo Ying Zeng ◽  
Deng Feng Zhao ◽  
Hong Qiang Zeng

By research of the mix technology of VC++ and Matlab based on Matcom software, the insufficiencies of data processing in VC++ and visual programming in Matlab have been sloved effectively in signal processing. The own definition functions by matlab can be converted to the C code with Matcom,then the functions can be called anywhere if you need.Using this mix technology, the vibration signals collected by UA307 data acquisition card have been transformed by FFT and the results are consistent with Matlab’s. The mixed-program can operate independently without Matlab software and this method is a good reference to the development of the signal processing system.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jiong Li ◽  
Lu Feng

Blind source separation is a widely used technique to analyze multichannel data. In most real-world applications, noise is inevitable and will affect the quality of signal separation and even make signal separation failure. In this paper, a new signal processing framework is proposed to separate noisy mixing sources. It is composed of two different stages. The first step is to process the mixing signal by a certain signal transform method to make the expected signals have energy concentration characteristics in the transform domain. The second stage is formed by a certain BSS algorithm estimating the demixing matrix in the transform domain. In the energy concentration segment, the SNR can reach a high level so that the demixing matrix can be estimated accurately. The analysis process of the proposed algorithm framework is analyzed by taking the wavelet transform as an example. Numerical experiments demonstrate the efficiency of the proposed algorithm to estimate the mixing matrix in comparison with well-known algorithms.


2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Martin Vogel ◽  
Harald Fahrner ◽  
Mark Gainey ◽  
Marianne Schmucker ◽  
Stefan Kirrmann ◽  
...  

Background: For many years, the oncological doctor's letter has been the pivotal means of information transfer to general practitioners, medical specialists or medical consultants. Yet, both creator and recipient require a high level of abstraction, retentiveness and analysis due to the large number of diagnoses and therapies. In contrast to the commonly used structure of doctor's letters, where all diagnoses and therapies are listed in sequential order with all diagnoses first, it is by no means trivial to establish the important chronological and hierarchical context in the description of oncological cases. Additional aspects of importance are the integration of these letters into existing clinical and departmental information systems (for example via HL7 interface), various export formats (for example PDF, HTML), fax and encrypted email. Moreover these letters need a modern layout that, among others, meets the requirements of corporate design. Methods: The requirements for a doctor's letter system are manifold and can only be represented rudimentarily via a normal word processing system. Due to this deficiency we developed a system that covers all special features and requirements for clinical use. The system is based on a scalable and extensible client-server architecture. We use the programming languages Harbour, C++, PHP and JavaScript, Microsoft SQL database for data storage and the HL7 standard as the interface to other information systems such as hospital information system (HIS). Export formats are PDF, HTML/XML. Layouts are generated with TeX, LaTeX and MikTeX. Results: The aforementioned requirements were resolved with the doctor's letter and finding system IntDok. The hierarchical presentation of diagnoses, histologies and therapies provides the recipient with a first outline of the course of the disease. A strict procedure controls the whole process of document compilation and assists the user with many highly regarded tools such as text blocks, import and export (PDF and HTML/XML including barcodes) functions or HL7 interface to other information systems. The software also provides a sophisticated mail merging. All content from previous letters can easily be inserted into the current document. A TeX-server automatically provides document layout including supreme hyphenation so that uniform and perfect appearance (corporate design) is guaranteed. The documents are saved in a MS-SQL database (almost 230,000 documents since 1991), independent of any proprietary formats such as MS-Word. Conclusion: Creation of documents is fast, simple and well-structured. Sophisticated tools guarantee the optimal use of human resources and time. The system is an important module in our overall digital work environment.


2011 ◽  
Vol 90-93 ◽  
pp. 2746-2749
Author(s):  
Yu He Li ◽  
Xin Li Bai ◽  
Han Han Sun

In the optimal design of large prestressed aqueduct structure, the optimal design results need to be automatically drawn. In this paper, the parametric drawing method is proposed by combining high-level programming language FORTRAN and Auto LISP, and developed a designing system of mixed programming using FORTRAN and Auto LISP. The programming system is applied to the optimal design process of large prestressed aqueduct with rectangle and U-shaped cross-section. The optimal design result is automatically transformed into visual graphics (documents), therefore realized the automatic drawing. In this way, designers’ graphics labor intensity and repeated, complicated calculation can be reduced and the design cycle can shorten. Data files (*.DAT) and graphics files (*.LISP) can be generated not only by FORTRAN, but also by other high-level programming languages such as C++, VC etc.


2018 ◽  
Vol 173 ◽  
pp. 03052
Author(s):  
CHU Ding-li ◽  
CHEN Hong ◽  
CHEN Han-yi

Aiming at the problem of linear instantaneous aliasing in blind source separation, a new method of blind signal separation using whale optimization algorithm is proposed in this paper, which provides a new research idea and method for blind signal separation. The new method adopts the method of independent component analysis, optimizes the objective function by using the whale optimization algorithm, realizes the blind separation of instantaneous aliasing signals, and effectively avoids the problem of complex parameters and slow convergence rate of the particle swarm optimization algorithm. The simulation results show that the performance of whale optimization algorithm is better than that of particle swarm optimization for blind source separation, and it is effective for blind signal separation.


Author(s):  
Sattar B. Sadkhan Al Maliky ◽  
Nidaa A. Abbas

Blind Source Separation (BSS) represented by Independent Component Analysis (ICA) has been used in many fields such as communications and biomedical engineering. Its application to image and speech encryption, however, has been rare. In this chapter, the authors present ICA and Principal Component Analysis (PCA) as a category of BSS-based method for encrypting images and speech by using Blind Source Separation (BSS) since the security encryption technologies depend on many intractable mathematical problems. Using key signals, they build a suitable BSS underdetermined problem in the encryption and then circumvent this problem with key signals for decoding. The chapter shows that the method based on the BSS can achieve a high level of safety right through building, mixing matrix, and generating key signals.


2014 ◽  
Vol 1044-1045 ◽  
pp. 805-807
Author(s):  
Jing Nie ◽  
Hong Lei Jing ◽  
Nian Zhang

A blind source separation technique is widely used in voice, video, communications, medical, mechanical failure signal processing, and data mining, and many other fields. Such a broad application prospects, making the blind signal separation problems on continuously were widespread concern experts and scholars at home and abroad. This paper describes the meaning of blind source separation techniques, a detailed description of the application of this technique to detect defects in terms of mechanical parts, due to the blind source separation algorithm is a regular in the development of the theory, and how to better integrate its application in the field of diagnosis defective parts, will be an important issue in the future is worth further exploration.


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