scholarly journals Complexity analysis of flexible transmitter digital signal processing for terabit (40 × 50G) four‐level pulse amplitude modulation transmission

2018 ◽  
Vol 54 (18) ◽  
pp. 1084-1086 ◽  
Author(s):  
S.M. Ranzini ◽  
S.M. Rossi ◽  
R.C. Figueiredo ◽  
L.V. Franz ◽  
A. Chiuchiarelli
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Amplitude Modulation ◽  
Complexity Analysis ◽  
Digital Signal ◽  
Pulse Amplitude ◽  
Pulse Amplitude Modulation

scholarly journals Study of the Discrete Wavelet Transform Based Designed System Under Different Simulation Conditions

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Signal Processing ◽  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Amplitude Modulation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Pulse Amplitude ◽  
Discrete Wavelet ◽  
Pulse Amplitude Modulation ◽  
Frequency Division Multiplexing ◽  
Frequency Division

Wavelet Transforms is an Important Part of, Systems Theory and Signal Processing and finds numerous important applications in Science and Engineering. In this paper, we investigated the performance of proposed scheme coded Discrete wavelet transform based Orthogonal frequency division multiplexing scheme over Additive white Gaussian noise channel using Pulse Amplitude Modulation in terms of Energy bits per noise ratio values. The simulation has been done using MATLAB software and results are compared with ½ rate convolution coded Discrete wavelet transform based Orthogonal frequency division multiplexing system. It is found by MATLAB simulations that the performance of proposed scheme coded Discrete wavelet transform based Orthogonal frequency division multiplexing outperforms than that of ½ rate convolution encoded Discrete wavelet transform based Orthogonal frequency division multiplexing with 16-Pulse Amplitude Modulation. Along with this, different orders of reverse biorthogonal and biorthogonal wavelets are implemented to simulate the proposed system with 16-Pulse Amplitude Modulation scheme. The performance of proposed system is compared and it is found that proposed system performs better than conventional system under all different simulation conditions. This study finds important applications in Signal Processing.

Method of estimation of hidden correlation of narrowband noise signals

2019 ◽  
pp. 34-39 ◽  
Author(s):  
E.I. Chernov ◽  
N.E. Sobolev ◽  
A.A. Bondarchuk ◽  
L.E. Aristarhova
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
New Technology ◽  
Digital Signal ◽  
Measuring Instruments ◽  
Central Frequency ◽  
Pearson Criterion ◽  
Useful Signal ◽  
Band Limited ◽  
Narrowband Noise

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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