Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

2019 ◽  
Author(s):  
K.S. Thyagarajan
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Communications ◽  
Digital Signal

scholarly journals Efficient FPGA Hardware Reuse in a Multiplierless Decimation Chain

2014 ◽  
Vol 2014 ◽  
pp. 1-5
Author(s):  
Guillermo A. Jaquenod ◽  
Javier Valls ◽  
Javier Siman
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Communications ◽  
Digital Signal ◽  
Data Rate ◽  
Short Paper ◽  
Rate Reduction ◽  
Complex Signals ◽  
Sample Rate ◽  
Minimal Hardware

In digital communications, an usual reception chain requires many stages of digital signal processing for filtering and sample rate reduction. For satellite on board applications, this need is hardly constrained by the very limited hardware resources available in space qualified FPGAs. This short paper focuses on the implementation of a dual chain of 14 stages of cascaded half band filters plus 2 : 1 decimators for complex signals (in-phase and quadrature) with minimal hardware resources, using a small portion of an UT6325 Aeroflex FPGA, as a part of a receiver designed for a low data rate command and telemetry channel.

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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