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.

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.

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.

Discrete signals: sampling, quantization and coding

2019 ◽  
pp. 265-298
Author(s):  
Max A. Little
Keyword(s):  
Machine Learning ◽  
Signal Processing ◽  
Digital Signal Processing ◽  
Real World ◽  
Digital Signal ◽  
Digital Data ◽  
Real Numbers ◽  
Representation Problem ◽  
Digital Storage ◽  
Discrete Signals

Digital signal processing and machine learning require digital data which can be processed by algorithms on computer. However, most of the real-world signals that we observe are real numbers, occurring at real time values. This means that it is impossible in practice to store these signals on a computer and we must find some approximate signal representation which is amenable to finite, digital storage. This chapter describes the main methods which are used in practice to solve this representation problem.

Signal processing via sampled-data control theory

Impact ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 6-8
Author(s):  
Yutaka Yamamoto ◽  
Kaoru Yamamoto ◽  
Masaaki Nagahara ◽  
Pramod P Khargonekar
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Music Videos ◽  
The Other ◽  
Digital Data ◽  
Sampled Data ◽  
Digital Signals ◽  
Data Control ◽  
Analogue Signals

Digital sounds and images are used everywhere today, and they are all generated originally by analogue signals. On the other hand, in digital signal processing, the storage or transmission of digital data, such as music, videos or image files, necessitates converting such analogue signals into digital signals via sampling. When these data are sampled, the values from the discrete, sampled points are kept while the information between the sampled points is lost. Various techniques have been developed over the years to recover this lost data, but the results remain incomplete. Professor Yutaka Yamamoto's research is focused on improving how we can recover or reconstruct the original analogue data.

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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