Application of Wavelet Analysis in Nondestructive Testing of Steel and Iron Materials and DSP Implementation

2013 ◽  
Vol 321-324 ◽  
pp. 1270-1273
Author(s):  
Pei Yue Liu ◽  
Jun Fen Wang ◽  
Bao Qiu Ma
Keyword(s):  
Signal Processing ◽  
Nondestructive Testing ◽  
Wavelet Analysis ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Analog Signal ◽  
Testing Device ◽  
Dsp Implementation ◽  
Testing Signal ◽  
Wavelet Algorithm

Aiming at improving the unideal testing result by means of analog signal processing, wavelet analysis is introduced in the nondestructive testing of steel and iron materials, based on the characteristics of electromagnetic nondestructive testing signal. According to the requirement of wavelet algorithm for hardware, the advantages of DSP, digital signal processing function and high calculating speed, design scheme of the steel electromagnetic nondestructive testing device is proposed in this paper. Experiments show that this method can extract detection signal effectively.

Teaching DSP Implementation: The Big Picture

2012 ◽  
Vol 49 (3) ◽  
pp. 202-209 ◽  
Author(s):  
N. Dahnoun ◽  
J. Brand
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Fast Growing ◽  
Processor Architectures ◽  
Development Tools ◽  
Dsp Implementation ◽  
Daunting Task ◽  
Big Picture ◽  
The Impact

Starting a digital signal processing (DSP) implementation course can be a daunting task, especially with the advanced DSP algorithms, complex DSP processor architectures and sophisticated development tools that are developed to satisfy consumer demands. These courses can be split into disciplines such as control, audio and video. In this paper the authors are addressing the concerns associated with fast-growing DSP chips and tools and the impact they have on teaching DSP implementation. The authors also provide solutions, advice and suggestions on how to select a DSP, set a DSP implementation course and the associated laboratory hardware and software that fit a specific application.

scholarly journals Analog Signal and Digital Signal Processing in Telecommunication System

2021 ◽  
Vol 1 (6) ◽  
pp. 1-5
Author(s):  
Phong Hung ◽  
Vu Duc Vuong
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Analog Signal ◽  
Digital Data ◽  
Telecommunication System

The term digital signal is a term from a technology that converts an analog signal into digital data so that the signal can be processed more easily and quickly. The term digital itself is a system that only recognizes two conditions. The two conditions are usually represented by the numbers zero and one, on and off, or others. The smallest unit of digital signal is the bit.

Design of Handheld Oscilloscope Based on FPGA and Dual-ADCs

2014 ◽  
Vol 602-605 ◽  
pp. 2518-2521
Author(s):  
Ya Ping Wu ◽  
Jun Gao
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Sampling Rate ◽  
Control Unit ◽  
Digital Signal ◽  
Analog Signal ◽  
Double Sampling ◽  
Test Results ◽  
Embedded Processor ◽  
Voltage Signal

STM32 as an embedded processor is utilized as the control unit of the handheld oscilloscope, and the data is processed by the FPGA. Voltage signal is collected by probes, and then converted into digital signal after being amplified. Digital signal is showed on the TFT screen after the FIFO processing in FPGA and digital signal processing .The dual ADCs are used to convert analog signal into digital signal so as to double sampling rate, which is an effective and economic way to improve the performance of oscilloscope. At the same time, the figure displayed on the screen can be adjusted manually and provide the information of voltage and frequency. The test results show that the oscilloscope has very good performance.

OPTIMAL WAVELET CHOICE IN ELECTROCHEMICAL EXPERIMENTS

2006 ◽  
Vol 06 (02) ◽  
pp. L215-L225 ◽  
Author(s):  
K. DAROWICKI ◽  
A. ZIELIŃSKI
Keyword(s):  
Signal Processing ◽  
Wavelet Analysis ◽  
Digital Signal Processing ◽  
Electrochemical Noise ◽  
Noise Analysis ◽  
Digital Signal ◽  
Comparison Of Results ◽  
Processing Techniques ◽  
Signal Processing Techniques

In the recent years we witness great interest in merging electrochemical experiments with modern digital signal processing techniques. Wavelet analysis seems to be one of the most promising approaches. In the case of wavelets there are various families of analyzing functions which can be selected to suit given experiment demands. In the paper the authors present comparison of results of utilization of different wavelets in electrochemical noise analysis.

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