The Not So Digital Future of Digital Signal Processing [Point of View]

2008 ◽  
Vol 96 (3) ◽  
pp. 375-377 ◽  
Author(s):  
S. A. Tsaftaris ◽  
A. K. Katsaggelos
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Point Of View ◽  
Processing Point

scholarly journals Research on the Design of Digital Signal Processing Algorithm Based on Spark Parallel Calculation

2021 ◽  
Vol 2136 (1) ◽  
pp. 012034
Author(s):  
Yifan Ming ◽  
Rui Li
Keyword(s):  
Signal Processing ◽  
Parallel Computing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Development Trend ◽  
Point Of View ◽  
Signal Processing Algorithm ◽  
Application Performance ◽  
Time Signals ◽  
The Development Trend

Abstract Digital signal processing as a key and difficult point of network technology research and development, currently commonly used content such as LabVIEW. But from a practical point of view, while these techniques can be used to process real-time signals, they can’t handle historical offline data. The Spark parallel computing studied in this paper can be used to process offline signals. Therefore, on the basis of understanding the development trend of Spark parallel computing framework, the distributed Mallat algorithm is analyzed based on Spark parallel computing engine, and the application performance of the corresponding algorithm is verified.

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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