scholarly journals Choice of low-pass filter influences practical interpretation of ball kicking motions: the effect of a time-frequency filter method

2020 ◽  
pp. 1-18
Author(s):  
Simon Augustus ◽  
Arif Mithat Amca ◽  
Penny E. Hudson ◽  
Neal Smith
2020 ◽  
Vol 101 ◽  
pp. 109639 ◽  
Author(s):  
Simon Augustus ◽  
Arif Mithat Amca ◽  
Penny E. Hudson ◽  
Neal Smith

2019 ◽  
Vol 29 (07) ◽  
pp. 2050109
Author(s):  
Yan Li ◽  
Yong Liang Li

A novel capacitance multiplier is proposed to implement an ultra-low-frequency filter for physiological signal processing in biomedical applications. With the proposed multiplier, a simple first-order low-pass filter achieves a [Formula: see text]3-dB frequency of 33.4[Formula: see text]μHz with a 1-pF capacitance and a 20[Formula: see text]k[Formula: see text] resistance. This corresponds to a multiplication factor of as large as [Formula: see text]. By changing the controlling terminal, the [Formula: see text]3-dB frequency can be tuned in a wide range of 33.4[Formula: see text]μHz–6.3[Formula: see text]kHz.


2014 ◽  
Vol 6 ◽  
pp. 129302
Author(s):  
Wenhua Xu ◽  
Hong Bao ◽  
Jianwei Mi ◽  
Guigeng Yang

Due to great flexibility, low damping, and variable structure in the cabin-cable system of five hundred meter Aperture Spherical Radio Telescope (FAST), a real-time digital low-pass filter based on the analysis of frequency is presented in this paper. Firstly, by the Lomb-Scargle theorem, it can obtain the fundamental frequency of cabin-cable system. Then, using the obtained frequency, a digital low-pass filter is designed to filter the measured data. After being filtered, the measured data are used for coarse control. Finally, the results of the experiments on the FAST 5 m model show that calculating the fundamental frequency is accurate and the filter is effective.


2013 ◽  
Vol 56 (1) ◽  
pp. 120-124 ◽  
Author(s):  
Mohsen Yazdani ◽  
Luke Murphy ◽  
Alireza Mallahzadeh ◽  
Ercument Arvas ◽  
Joseph Mautz

2012 ◽  
Vol 562-564 ◽  
pp. 1642-1645
Author(s):  
Kui Xia Han ◽  
Yan Ling Li ◽  
Mei Yu

The contrast is low, and the noise is strong in infrared images, which go against defects judgment and recognition. In order to resolve them, limitations of common methods were analyzed, then, according to characters of infrared images and processing target, grayscale value adjustment method and low pass filter method was introduced. Designed image enhancement steps, and it was applied to process thermal image. In process of index low-pass filtering, the cut-off frequency selection was studied. And, it was found, when it was 40, the effect was ideal. Compared the original image with image after treatment, the validity of this method was verified. There an effective way was designed for heat waves image enhancement.


2017 ◽  
Vol E100.C (10) ◽  
pp. 858-865 ◽  
Author(s):  
Yohei MORISHITA ◽  
Koichi MIZUNO ◽  
Junji SATO ◽  
Koji TAKINAMI ◽  
Kazuaki TAKAHASHI

2016 ◽  
Vol 15 (12) ◽  
pp. 2579-2586
Author(s):  
Adina Racasan ◽  
Calin Munteanu ◽  
Vasile Topa ◽  
Claudia Pacurar ◽  
Claudia Hebedean

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