Research and Design of Digital Signal Processing Virtual Experiment Platform

2013 ◽  
Vol 401-403 ◽  
pp. 1415-1418
Author(s):  
Xin Zhang

An intelligent virtual experiment platform can effectively solve the shortcomings of traditional laboratory which is limited by space, time and cost. In this paper, the relevant characteristics of the digital signal processing experiments, the design of a digital signal processing virtual experiment platform. The platform uses B/S architecture model and the Java language, it has platform-independent. The platform allows the user to independently build experimental process, innovation and experimentation; while providing component registration, users can use their own familiar language development component. Through experiments and registered instance, the feasibility and operability of the platform is verified, and it has a good practical value.

2011 ◽  
Vol 268-270 ◽  
pp. 2150-2157
Author(s):  
Feng Gao ◽  
Yun Wu ◽  
Shang Qiong Lu

Based on National Instruments LabVIEW 2009, a network-edition virtual laboratory for digital signal processing (DSP) has been developed. Which is composed of three functional modules, that is, virtual experiment table, information management, and network communication. Hereinto, virtual experiment table is composed of two sub-modules, i.e. resource & document and simulation experiment; information management module is composed of four sub-modules, i.e. database, user registration, security verification and system management; network communication module is implemented by LabVIEW Web Server. The DSP Virtual Laboratory is suit for experimental teaching of a range of subjects, such as Digital Signal Processing, Signals & Systems, etc. And the designed virtual laboratory can provide users with a remote virtual experimental platform without time and space constraints.


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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