A Cost Effective Interconnection Network for Reconfigurable Computing Processor in Digital Signal Processing Applications

2006 ◽  
Vol E89-C (11) ◽  
pp. 1674-1675
Author(s):  
Y.-K. LAI ◽  
L.-F. CHEN ◽  
J.-C. CHEN ◽  
C.-W. CHIU
2013 ◽  
Vol 11 (1) ◽  
pp. 2175-2181
Author(s):  
Rajesh Mehra ◽  
Lajwanti Singh

In this paper, a decimator design has been presented for multirate digital signal processing.  The decimator design has been analysed and simulated for cost comparison in terms of multipliers and MPIS. Two structures  namely Transposed Direct form and Symmetric Direct form have been used performance and  resource consumption analysis. The decimators have been designed  & simulated using MATLAB. It can be observed from the simulated results that symmetric structure comsumes almost 50% less multipliers and MPIS compared to transposed structure. So the symmetric structure based decimator is suitable to provide cost effective solution


2019 ◽  
pp. 34-39 ◽  
Author(s):  
E.I. Chernov ◽  
N.E. Sobolev ◽  
A.A. Bondarchuk ◽  
L.E. Aristarhova

The concept of hidden correlation of noise signals is introduced. The existence of a hidden correlation between narrowband noise signals isolated simultaneously from broadband band-limited noise is theoretically proved. A method for estimating the latent correlation of narrowband noise signals has been developed and experimentally investigated. As a result of the experiment, where a time frag ent of band-limited noise, the basis of which is shot noise, is used as the studied signal, it is established: when applying the Pearson criterion, there is practically no correlation between the signal at the Central frequency and the sum of signals at mirror frequencies; when applying the proposed method for the analysis of the same signals, a strong hidden correlation is found. The proposed method is useful for researchers, engineers and metrologists engaged in digital signal processing, as well as developers of measuring instruments using a new technology for isolating a useful signal from noise – the method of mirror noise images.


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