scholarly journals NEW CLASS OF DIGITAL MALMQUIST-TYPE ORTHOGONAL FILTERS BASED ON THE GENERALIZED INNER PRODUCT; APPLICATION TO THE MODELING DPCM SYSTEM

2019 ◽  
Vol 17 (3) ◽  
pp. 385
Author(s):  
Nikola Danković ◽  
Dragan Antić ◽  
Saša Nikolić ◽  
Marko Milojković ◽  
Staniša Perić

A new class of cascade digital orthogonal filters of the Malmquist type based on bilinear transformation for mapping poles to zeroes and vice versa is presented in this paper. In a way, it is a generalization of the majority of the classical orthogonal filters and some newly designed filters as well. These filters are orthogonal with respect to the generalized inner product which is actually a generalization of the classical inner product. Outputs of these filters are obtained by using polynomials orthogonal with respect to the new inner product. The main quality of these filters is that they are parametric adaptive. The filter with six sections is practically realized in the Laboratory for Modeling, Simulation and Control Systems. Performances of the designed filter are proved on modeling and identification of the system for differential pulse code modulation. Real response and response from the proposed filter are compared with regard to the chosen criteria function. Also, a comparative analysis of the proposed filter with some existing filters is performed.

Author(s):  
Gbaranwi B.P. ◽  
Kabari L.G.

The quality of the signal is essential in digital communication and signal processing. The transmission channel is also important. Modulation is used for effectively transmission of signal. There exist several types of modulation techniques. One of such is the pulse code modulation (PCM). The performance of PCM is however affected by quantization error and noise in the transmission channel, which affects the quality of the output. Against this backdrop, this paper presents the use of differential pulse code modulation (DPCM) so as to address the limitation of pulse code modulation. The simulation environment is MATLAB 2018a. The MATLAB Simulink is used to design the PCM and DPCM systems using appropriate digital processing blocks. The DPCM system shows a significant improvement in terms of error reduction and quality of output.


1983 ◽  
Vol 19 (2) ◽  
pp. 63 ◽  
Author(s):  
N.M. Nasrabadi ◽  
S.K. Pal ◽  
R.A. King

2017 ◽  
Vol 25 (25) ◽  
pp. 31921 ◽  
Author(s):  
Lu Zhang ◽  
Xiaodan Pang ◽  
Oskars Ozolins ◽  
Aleksejs Udalcovs ◽  
Richard Schatz ◽  
...  

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