Practice and thinking of the bilingual teaching for undergraduate digital signal processing course

2015 ◽  
pp. 127-131
Author(s):  
Kunbao Cai
2020 ◽  
Vol 4 (10) ◽  
Author(s):  
Lun Ma ◽  
Ruochen Liu ◽  
Yang Ming

In many fields such as remote sensing, communication, control, radar, power electronics, artificial intelligence, biomedicine, etc., "digital signal processing technology" will be involved. In order to better promote the healthy development of digital signal processing technology related industries and cultivate more and more professionals in this field, it is of great practical significance to actively explore the bilingual teaching reform measures of "digital signal processing". This paper discusses the problems existing in the bilingual teaching and the reform measures of bilingual teaching of "digital signal processing", hoping to improve the teaching quality of "digital signal processing" course in colleges and universities in China through its bilingual teaching reform.


2019 ◽  
pp. 34-39 ◽  
Author(s):  
E.I. Chernov ◽  
N.E. Sobolev ◽  
A.A. Bondarchuk ◽  
L.E. Aristarhova

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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