ALGIC—a silicon compiler system for digital signal processing

1988 ◽  
Vol 5 (5) ◽  
pp. 191 ◽  
Author(s):  
J. Schuck ◽  
N. Wehn ◽  
M. Glesner
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Silicon Compiler ◽  
Compiler System

Cathedral-II: A Silicon Compiler for Digital Signal Processing

1986 ◽  
Vol 3 (6) ◽  
pp. 13-25 ◽  
Author(s):  
H. De Man ◽  
J. Rabaey ◽  
P. Six ◽  
L. Claesen
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Silicon Compiler

A silicon compiler for digital signal processing: Methodology, implementation, and applications

1987 ◽  
Vol 75 (9) ◽  
pp. 1272-1282 ◽  
Author(s):  
F.F. Yassa ◽  
J.R. Jasica ◽  
R.I. Hartley ◽  
S.E. Noujaim
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Silicon Compiler

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.

Sign in / Sign up

Export Citation Format

Share Document