scholarly journals Efficient Orthogonal Bicomplex Bilinear DSP Algorithm Design

2020 ◽  
Vol 16 (1) ◽  
pp. 30-36
Author(s):  
Zlatka Valkova-Jarvis ◽  
Dimitriya Mihaylova ◽  
Viktor Stoynov

AbstractThe present paper describes the development of a new technique for designing orthogonal bicomplex Digital Signal Processing (DSP) algorithms. In contrast to those previously reported on, this novel method is of universal application while being unaffected by either the type or the order of the real digital processing algorithm employed as a prototype. The proposed technique builds on Watanabe and Nishihara’s complex orthogonal transformation, and converts real or complex orthogonal transfer functions into bicomplex orthogonal ones. In this study, the new technique is applied to the design and testing of orthogonal bilinear bicomplex filters with a canonical number of elements, the main advantage of which is that they are several times lower in order. In this way, bilinear bicomplex orthogonal transfer functions are made up of real coefficient ones of the fourth-order, thereby reducing the order of the filter by a factor of four. The experiments demonstrate that the properties of the prototype filter are acquired by the bicomplex orthogonal filters, irrespective of the prototype being complex or real in nature.

2008 ◽  
Vol 17 (05) ◽  
pp. 957-971
Author(s):  
ATAOLLAH EBRAHIMZADEH ◽  
ABOLFAZL RANJBAR ◽  
MEHRDAD ARDEBLILPOUR

Classification of the communication signals has seen under increasing demands. In this paper, we present a new technique that identifies a variety of digital communication signal types. This technique utilizes a radial basis function neural network (RBFN) as the classifier. Swarm intelligence, as an evolutionary algorithm, is used to construct RBFN. A combination of the higher-order moments and the higher-order cumulants up to eight are selected as the features of the considered digital signal types. In conjunction with RBFN, we have used k-fold cross-validation to improve the generalization potentiality. Simulation results show that the proposed technique has high performance for classification of different communication signals even at very low signal-to-noise ratios.


2014 ◽  
Vol 29 (19) ◽  
pp. 1443005 ◽  
Author(s):  
R. Bertoni ◽  
F. Chignoli ◽  
D. Chiesa ◽  
M. Clemenza ◽  
A. Ghezzi ◽  
...  

The Materia OSCura A Bolle (MOSCAB) experiment uses a new technique for Dark Matter search. The Geyser technique is applied to the construction of a prototype detector with a mass of 0.5 kg and the encouraging results are reported here; an accent is placed on a big detector of 40 kg in construction at the Milano Bicocca University and INFN.


SMPTE Journal ◽  
1988 ◽  
Vol 97 (11) ◽  
pp. 908-910
Author(s):  
Toshinari Matsuzuru ◽  
Yoshio Monjo ◽  
Takashi Sueoka

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