Low-Noise Signal Processing Chain for High Capacitance Sensors

2008 ◽  
Vol 8 (11) ◽  
pp. 1864-1870 ◽  
Author(s):  
Sanaz Adl ◽  
Martin Peckerar
Keyword(s):  
Signal Processing ◽  
Noise Signal ◽  
Low Noise ◽  
High Capacitance ◽  
Processing Chain

High-Resolution Magneto-Impedance Sensor With TAD for Low Noise Signal Processing

2014 ◽  
Vol 50 (11) ◽  
pp. 1-4 ◽  
Author(s):  
Shingo Tajima ◽  
Yukihiro Okuda ◽  
Takamoto Watanabe ◽  
Hitoshi Aoyama ◽  
Michiharu Yamamoto ◽  
...  
Keyword(s):  
Signal Processing ◽  
High Resolution ◽  
Noise Signal ◽  
Low Noise ◽  
Impedance Sensor

scholarly journals Predictive value of low noise signal-averaged ECG for the induction of ventricular arrhythmias

1991 ◽  
Vol 17 (2) ◽  
pp. A97
Author(s):  
Michael R. Gold ◽  
Hasan Garan ◽  
Brian A. McGovern ◽  
Jeremy N. Ruskin
Keyword(s):  
Predictive Value ◽  
Ventricular Arrhythmias ◽  
Noise Signal ◽  
Low Noise

scholarly journals Eliminating unwanted signals in sound by using digital signal processing system

2020 ◽  
Vol 18 (2) ◽  
pp. 829
Author(s):  
Amer T Saeed ◽  
Zaid Raad Saber ◽  
Ahmed M. Sana ◽  
Musa A. Hameed
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Filters ◽  
Processing System ◽  
Digital Signal ◽  
Noise Signal ◽  
Time Range ◽  
Signal Processing System ◽  
Digital Signal Processing System ◽  
Sound Files

<p><a name="_Hlk536186602"></a><span style="font-size: 9pt; font-family: 'Times New Roman', serif;">Unwanted signals or noise signals in sound files are considered one of the major challenges and issues for a thousand users. It is impossible to reduce or remove these noise signals without identifying their types and ranges. Therefore, to address one of the big problems in the digital or analogue communication, which is noise signals or unwanted signals, an adaptive selection method and noise signal removal algorithm are proposed in this research. The proposed algorithm is done through specifying the types of undesirable signals, frequency, and time range, then utilizing digital signal processing system which includes design several types of digital filters based on the types and numbers of unwanted signals. Four digital filters are used in this research to remove noise signals from the sound file by implementing the proposed algorithm using Matlab Code. Results show that our proposed algorithm was done successfully and the whole noise signals were removed without any negative consequence in the output sound signal. </span><span style="font-family: 'Times New Roman', serif; font-size: 9pt;">Unwanted signals or noise signals in sound files are considered one of the major challenges and issues for a thousand users. It is impossible to reduce or remove these noise signals without identifying their types and ranges. Therefore, to address one of the big problems in the digital or analogue communication, which is noise signals or unwanted signals, an adaptive selection method and noise signal removal algorithm are proposed in this research. The proposed algorithm is done through specifying the types of undesirable signals, frequency, and time range, then utilizing digital signal processing system which includes design several types of digital filters based on the types and numbers of unwanted signals. Four digital filters are used in this research to remove noise signals from the sound file by implementing the proposed algorithm using Matlab Code. Results show that our proposed algorithm was done successfully and the whole noise signals were removed without any negative consequence in the output sound signal.</span></p>

A low-noise and flexible FPGA-based binary signal measurement generator

2019 ◽  
Vol 11 (5-6) ◽  
pp. 447-455 ◽  
Author(s):  
Gordon Notzon ◽  
Robert Storch ◽  
Thomas Musch ◽  
Michael Vogt
Keyword(s):  
Dynamic Range ◽  
Time Lag ◽  
Impulse Response Function ◽  
High Dynamic Range ◽  
Noise Signal ◽  
Low Noise ◽  
Ultra Wideband ◽  
Coded Excitation ◽  
Field Programmable ◽  
Noise Measurements

AbstractIn the area of electromagnetic metrology, binary coded excitation signals become more and more important and various binary coded sequences are available. The measurement approach is to assess the impulse response function of a device under test by correlating the response signal with the excitation signal. In order to achieve a high measurement reproducibility as well as a high dynamic range, the generated binary coded signals have to provide low-noise. In this contribution, a low-noise signal generator realized with a field programmable gate array is presented. The performance investigation of different kinds of binary coded excitation signals and different correlation concepts have been practically investigated. With a chip rate of 5 Gchip/s, the generator can be utilized for ultra-wideband applications. In order to allow for a low-noise and long-term stable signal generation, a new clock generator concept is presented and results of phase noise measurements are shown. Furthermore, an algorithm to fast and precisely shifting the time lag between two binary coded signals for correlating excitation and response signals with a hardware correlator is presented. Finally, the realized demonstrator system is tested using two commonly used types of binary coded sequences.

Low-noise preamplifier based on PMT and its signal processing

2013 ◽  
Author(s):  
Li-hua Ye ◽  
Hai-yang Wang ◽  
Wen-xuan Wang ◽  
Yi-ping Cui ◽  
Jian-jun Hang ◽  
...  
Keyword(s):  
Signal Processing ◽  
Low Noise ◽  
Low Noise Preamplifier
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