Physiological Signal Detection Instrument Based on FPGA

2013 ◽  
Vol 850-851 ◽  
pp. 576-579
Author(s):  
Hua Qun Zhan ◽  
Bin Xu ◽  
Yong Ping Cao ◽  
Quan Jiang Liu
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Signal Detection ◽  
Signal Amplification ◽  
Digital Signal ◽  
Physiological Signal ◽  
The Core ◽  
Detection Instrument

This paper introduces a kind of physiological signal detection instrument based on FPGA. The system uses FPGA as the core, SC0073 as the sensor, the signal amplification, filtering, A/D conversion, and finally the signal does a digital signal processing in FPGA , and under the control of FPGA, displayed on the LCD screen in time. Results show that the system is stable and have a good performance.

The Application of DSP for Controlling Stepper Motor

2013 ◽  
Vol 823 ◽  
pp. 58-61
Author(s):  
Ye Li ◽  
Shu Kun Cao
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Information Age ◽  
Digital Signal ◽  
Wave Mode ◽  
Stepper Motor ◽  
Digital Information ◽  
Texas Instrument ◽  
The Core ◽  
And Function

Abstract. DSP has been one of the most fashionable embedded technology after SCM and the core engine of the digital information age. With the constantly effort and innovation of the Texas instrument(TI) ,Freescale and other companies, performance and function of DSP has been more and more stable and powerful. Digital Signal Processing (DSP) which is a rapidly developing neotype branch has provided a perfect solution for controlling all kinds of motor. The TMS320F28335 from TI has been used as the core of the control. The connecting of the system of the motor and DSP,wave mode for operating,the program for controlling are elaborated .Moreover the different between DSP and other method for control and the caution notes has been analyzed.

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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