The Design of Interference Generator for Grid Based on 89S52

2012 ◽  
Vol 490-495 ◽  
pp. 1772-1776
Author(s):  
Xiao Zhen Li ◽  
Yuan Jiang
Keyword(s):  
Pulse Width ◽  
Sine Wave ◽  
Signal Frequency ◽  
Band Pass Filter ◽  
Output Frequency ◽  
Pass Filter ◽  
Filter Output ◽  
Band Pass ◽  
Rc Circuit ◽  
Grid Based

The minimum microcontroller system is adopted in this paper to produce sine wave, achieve key control, and realize frequency display and measurement, which enable the circuit to automatically change and measure the filter output frequency. In the system 4011 chip and external RC circuit adjust pulse width and the number of bursts, Two-stage second-order active band-pass filter is used to filter out interfering signals so to get the fundamental signals. The 89s52 microcontroller programming regulate the signal frequency and amplitude which is realized through keyboards and shown on LED

SELF-TUNING BIQUAD BAND-PASS FILTER

2013 ◽  
Vol 22 (03) ◽  
pp. 1350008 ◽  
Author(s):  
GORAN JOVANOVIĆ ◽  
DARKO MITIĆ ◽  
MILE STOJČEV ◽  
DRAGAN ANTIĆ
Keyword(s):  
Dynamic Range ◽  
Signal Frequency ◽  
Band Pass Filter ◽  
Central Frequency ◽  
Pass Filter ◽  
Input Signal Frequency ◽  
Bicmos Technology ◽  
Self Tuning ◽  
Band Pass ◽  
Constant Bandwidth

One approach to design self-tuning gm-C biquad band-pass filter is considered in this paper. The phase control loop is introduced to force filter central frequency to be equal to input signal frequency what is achieved by adjusting the amplifier transconductance gm. Thanks to that, the filter is robust to parameter perturbations and it can be used as a selective amplifier. In the full tuning range, it has a constant maximum gain at central frequency as well as a constant bandwidth. The 0.25 μm SiGe BiCMOS technology was used during design and verification of the band-pass filter. The filter has 26 dB gain, quality factor Q = 20 and central frequency up to 150 MHz. Simulation results indicate that the total in-band noise is 59 μV rms , the output third intercept point OIP3 = 4.36 dB and the dynamic range is 35 dB. Maximal power consumption at 3 V power supply is 1.115 mW.

Fast Locking Time Biquadratic Band-Pass Filter Utilizing Nonlinear Sliding-Mode Controller

2020 ◽  
pp. 2150154
Author(s):  
Darko Mitić ◽  
Goran Jovanović ◽  
Mile Stojčev ◽  
Dragan Antić
Keyword(s):  
Input Signal ◽  
Sliding Mode ◽  
Design Procedure ◽  
Signal Frequency ◽  
Sliding Mode Controller ◽  
Band Pass Filter ◽  
Central Frequency ◽  
Pass Filter ◽  
Bicmos Technology ◽  
Band Pass

This paper considers design procedure of fast locking time self-tuning [Formula: see text] biquadratic band-pass filter with nonlinear sliding mode control. A sliding mode controller is building block of the phase control loop (PCL) involved to push central frequency to reach input signal frequency very fast, approximately 100–200[Formula: see text]ns. The sliding mode controller is realized by using a tunable delay line, enabling optimal filter locking time for different input signal frequencies. The filter possesses low sensitivity to component discrepancy and is applied as a selective amplifier. The 0.13[Formula: see text][Formula: see text]m SiGe BiCMOS technology has been utilized for design and verification of the presented filter. This filter has central frequency up to 220[Formula: see text]MHz, quality factor [Formula: see text] and 25[Formula: see text]dB gain.

scholarly journals Sampling frequency affects the processing of Actigraph raw acceleration data to activity counts

2016 ◽  
Vol 120 (3) ◽  
pp. 362-369 ◽  
Author(s):  
Jan Christian Brønd ◽  
Daniel Arvidsson
Keyword(s):  
Physical Activity ◽  
Frequency Band ◽  
Sampling Frequency ◽  
Signal Frequency ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Acceleration Data ◽  
Varied Degree ◽  
Band Pass ◽  
Acceleration Signals

ActiGraph acceleration data are processed through several steps (including band-pass filtering to attenuate unwanted signal frequencies) to generate the activity counts commonly used in physical activity research. We performed three experiments to investigate the effect of sampling frequency on the generation of activity counts. Ideal acceleration signals were produced in the MATLAB software. Thereafter, ActiGraph GT3X+ monitors were spun in a mechanical setup. Finally, 20 subjects performed walking and running wearing GT3X+ monitors. Acceleration data from all experiments were collected with different sampling frequencies, and activity counts were generated with the ActiLife software. With the default 30-Hz (or 60-Hz, 90-Hz) sampling frequency, the generation of activity counts was performed as intended with 50% attenuation of acceleration signals with a frequency of 2.5 Hz by the signal frequency band-pass filter. Frequencies above 5 Hz were eliminated totally. However, with other sampling frequencies, acceleration signals above 5 Hz escaped the band-pass filter to a varied degree and contributed to additional activity counts. Similar results were found for the spinning of the GT3X+ monitors, although the amount of activity counts generated was less, indicating that raw data stored in the GT3X+ monitor is processed. Between 600 and 1,600 more counts per minute were generated with the sampling frequencies 40 and 100 Hz compared with 30 Hz during running. Sampling frequency affects the processing of ActiGraph acceleration data to activity counts. Researchers need to be aware of this error when selecting sampling frequencies other than the default 30 Hz.

OBSERVATION AND SIMULATION OF TSUNAMIS INDUCED BY THE 2003 TOKACHI-OKI EARTHQUAKE (M 8.0)

2015 ◽  
Vol 2 (3) ◽  
Author(s):  
Tatsuo Ohmachi ◽  
Shusaku Inoue ◽  
Tetsuji Imai
Keyword(s):  
Rayleigh Wave ◽  
Water Pressure ◽  
Near Field ◽  
Source Region ◽  
Tsunami Source ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Tsunami Simulation ◽  
Sea Bed ◽  
Band Pass

The 2003 Tokachi-oki earthquake (MJ 8.0) occurred off the southeastern coast of Tokachi, Japan, and generated a large tsunami which arrived at Tokachi Harbor at 04:56 with a wave height of 4.3 m. Japan Marine Science and Technology Center (JAMSTEC) recovered records of water pressure and sea-bed acceleration at the bottom of the tsunami source region. These records are first introduced with some findings from Fourier analysis and band-pass filter analysis. Water pressure disturbance lasted for over 30 minutes and the duration was longer than those of accelerations. Predominant periods of the pressure looked like those excited by Rayleigh waves. Next, numerical simulation was conducted using the dynamic tsunami simulation technique able to represent generation and propagation of Rayleigh wave and tsunami, with a satisfactory result showing validity and usefulness of this technique. Keywords: Earthquake, Rayleigh wave, tsunami, near-field

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