From digital control to digital signal processing

2007 ◽  
pp. 93-107
Author(s):  
Bruce A. Francis
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Control ◽  
Digital Signal

Toward More Meaningful Laboratory Experiences in Digital Signal Processing and Digital Control

1979 ◽  
Vol 22 (2) ◽  
pp. 119-123 ◽  
Author(s):  
Rodger E. Ziemer ◽  
D. Ronald Fannin ◽  
Paul D. Stigall
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Control ◽  
Digital Signal ◽  
Laboratory Experiences

Digital control using digital signal processing

Automatica ◽  
2002 ◽  
Vol 38 (9) ◽  
pp. 1630-1631
Author(s):  
Lars Grüne
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Control ◽  
Digital Signal

Digital control using digital signal processing [Book Review]

2000 ◽  
Vol 16 (3) ◽  
pp. 47-47
Author(s):  
N. Kularatna
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Control ◽  
Digital Signal

15.1 Digital signal processing to identify atrial events in pacemakers

EP Europace ◽  
2003 ◽  
Vol 4 ◽  
pp. A25
Author(s):  
N VANHEMEL
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal

Digital signal processing schemes for efficient interpolation and decimation

1983 ◽  
Vol 130 (6) ◽  
pp. 225 ◽  
Author(s):  
R.A. Valenzuela ◽  
A.G. Constantinides
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal

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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