scholarly journals Robust low rank and sparse decomposition from blurred video frames

2020 ◽  
Author(s):  
Mohammad bokaei
Keyword(s):  
Low Rank ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Sparse Decomposition ◽  
Surveillance Videos ◽  
Video Frames ◽  
Low Pass ◽  
Physical Limitations ◽  
Simulation Results ◽  
Blurring Effect

<div>Recently, the low-rank and sparse decomposition</div><div>problem has attracted attention in several applications, especially surveillance videos. Due to the physical limitations in acquisition systems, measured frames are blurred by a low-pass filter.</div><div>In this article, we aim to decompose blurred videos’ frames</div><div>into low-rank and sparse components, in order to extract the</div><div>background. Unlike conventional methods, we simultaneously take into account the blurring effect, as well as the missing data. Our simulation results confirmed the advantage of this approach in extracting low-rank components in surveillance videos.</div>

scholarly journals Robust low rank and sparse decomposition from blurred video frames

2020 ◽  
Author(s):  
Mohammad bokaei
Keyword(s):  
Low Rank ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Sparse Decomposition ◽  
Surveillance Videos ◽  
Video Frames ◽  
Low Pass ◽  
Physical Limitations ◽  
Simulation Results ◽  
Blurring Effect

<div>Recently, the low-rank and sparse decomposition</div><div>problem has attracted attention in several applications, especially surveillance videos. Due to the physical limitations in acquisition systems, measured frames are blurred by a low-pass filter.</div><div>In this article, we aim to decompose blurred videos’ frames</div><div>into low-rank and sparse components, in order to extract the</div><div>background. Unlike conventional methods, we simultaneously take into account the blurring effect, as well as the missing data. Our simulation results confirmed the advantage of this approach in extracting low-rank components in surveillance videos.</div>

scholarly journals Robust low rank and sparse decomposition from blurred video frames

2020 ◽  
Author(s):  
Mohammad bokaei
Keyword(s):  
Low Rank ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Sparse Decomposition ◽  
Surveillance Videos ◽  
Video Frames ◽  
Low Pass ◽  
Physical Limitations ◽  
Simulation Results ◽  
Blurring Effect

<div>Recently, the low-rank and sparse decomposition</div><div>problem has attracted attention in several applications, especially surveillance videos. Due to the physical limitations in acquisition systems, measured frames are blurred by a low-pass filter.</div><div>In this article, we aim to decompose blurred videos’ frames</div><div>into low-rank and sparse components, in order to extract the</div><div>background. Unlike conventional methods, we simultaneously take into account the blurring effect, as well as the missing data. Our simulation results confirmed the advantage of this approach in extracting low-rank components in surveillance videos.</div>

The Design of Gm-C Low-Pass Filter for Micromachined Gyroscope

2014 ◽  
Vol 609-610 ◽  
pp. 1072-1076
Author(s):  
Qiu Ye Lv ◽  
Chong He ◽  
Wen Jie Fan ◽  
Yu Feng Zhang ◽  
Xiao Wei Liu
Keyword(s):  
Process Model ◽  
Stop Band ◽  
Cutoff Frequency ◽  
Harmonic Distortion ◽  
Cmos Process ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Simulation Results ◽  
Micromachined Gyroscope

In this Paper, a 4th-Order Low-Pass Gm-C Filter is Presented. for the Design of Operational Tranconductance Amplifier(OTA), it Adopts the Techniques of Current Division and Current Cancellation. these Techniques can Help to Achieve a Low Transconductance Value. for the Architecture of the 4th-Order Gm-C Filter, it Consists of Two Biquads. the Two Biquads are Cascade Connected. the Gm-C Low-Pass Filter has been Implemented under 0.5 μm CMOS Process Model. the Final Simulation Results Show the Cutoff Frequency of the Filter is 100Hz and the Stop-Band Attenuation is Larger than 60dB. the Power Consumption is Lower than 1mW and the Total Harmonic Distortion(THD) is -55dB.

scholarly journals High-Performance RF Balanced Microstrip Mixer Configuration for Cryogenic and Room Temperatures

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 102
Author(s):  
Noy Citron ◽  
Eldad Holdengreber ◽  
Oz Sorkin ◽  
Shmuel E. Schacham ◽  
Eliyahu Farber
Keyword(s):  
High Performance ◽  
Schottky Diodes ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Noise Rejection ◽  
Low Pass ◽  
Hybrid Coupler ◽  
Band Pass ◽  
Simulation Results

A high-performance S-band down-conversion microstrip mixer, for operation from 77 K to 300 K, is described. The balanced mixer combines a 90 degree hybrid coupler, two Schottky diodes, a band pass filter, and a low pass filter. The coupler phase shift drastically improves noise rejection. The circuit was implemented according to the configuration obtained from extensive simulation results based on electromagnetic analysis. The experimental results agreed well with the simulation results, showing a maximum measured insertion loss of 0.4 dB at 2 GHz. The microstrip mixer can be easily adjusted to different frequency ranges, up to about 50 GHz, through the proper choice of microstrip configuration. This novel S-band cryogenic mixer, implemented without resorting to special components, shows a very high performance at liquid nitrogen temperatures, making this mixer very suitable for high-temperature superconductive applications, such as front-ends.

scholarly journals A Novel Receiving and Extraction Method for Echoes of Multistatic Sonar

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Lanyong Zhang ◽  
Yixuan Du ◽  
Bing Li
Keyword(s):  
Carrier Frequency ◽  
Extraction Technology ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Correlation Processing ◽  
Low Pass ◽  
Band Pass ◽  
Simulation Results ◽  
Channelized Receiver ◽  
Low Pass Filters

Multiple carrier frequency detecting signals are transmitted simultaneously by multiple transmitters in multistatic sonar. The echoes mixed with different carrier frequency in the receiver. The different carrier frequency echoes must be separated from one another before features of echoes are extracted in the receiver. Such a problem can be solved by band-pass and low-pass filters. But the amount of operation by this way is too large for real-time realization. Thus this paper presents the technique of channelized receiver based on multiphase filter and the receiving schemes of echo. The proposed receiver has a smaller amount of operation compared to low-pass filter. At last, the feature extraction technology correlation processing and FDWT are introduced. In order to verify the feasibility of this scheme in multistatic sonar, the extracted features of original echo are contrasted with those of processed echo via simulation. Simulation results show that the proposed receiver provides considerable performance.

A simple model of balancing in the plane and a simple preview balance controller

2017 ◽  
Vol 36 (13-14) ◽  
pp. 1489-1507 ◽  
Author(s):  
Roy Featherstone
Keyword(s):  
Actuator Saturation ◽  
Control Law ◽  
Reverse Time ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Fast Motion ◽  
Simulation Results ◽  
Planar Robot ◽  
Command Signal

This paper presents a new model of the dynamics of a general planar robot balancing on a point in the plane, in which the essential parameters of the robot’s balancing behaviour are reduced to just two numbers, both of which are simple functions of basic physical properties of the robot mechanism. A third number describes the effect of other movements on the robot’s balance. This model gives rise to a simple preview balance controller consisting of a four-term control law with easily calculated gains and a reverse-time low-pass filter acting on a preview of the command signal. The filter makes the robot lean in anticipation of future movements. Simulation results are presented showing the balance controller achieving excellent tracking of large fast motion commands while simultaneously maintaining the robot’s balance and accurately rejecting disturbances caused by other motions being performed by the robot. The controller is also robust to effects such as actuator saturation and sensor noise.

A CMOS Fourth-Order 150Hz Low-Pass Filter for Sensor Applications

2013 ◽  
Vol 380-384 ◽  
pp. 3320-3323
Author(s):  
Chang Chun Dong ◽  
Nan Nan Liu ◽  
Zhan Peng Jiang
Keyword(s):  
Fourth Order ◽  
Cutoff Frequency ◽  
Cmos Process ◽  
Sensor Interface ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Sensor Applications ◽  
Low Pass ◽  
Cascade Structure ◽  
Simulation Results

A low-pass filter for the sensor is presented, which based on the linearized transconductance structure and the capacitance scaler schemes. The filter adopt fourth order cascade structure, and simulation by 0.5μm CMOS process. Simulation results for the filter show a cutoff frequency of 150Hz, while band ripple is less than 0.8 dB. The power consumption for the filter is only 1.6mW, meet the requirements of the sensor interface ASIC for low-pass filter.

Research of Anti-RGPO/RGPI Jamming for Radar Seeker

2014 ◽  
Vol 644-650 ◽  
pp. 4355-4359
Author(s):  
Di Wu ◽  
Hui Liu ◽  
Ya Jun Wang
Keyword(s):  
Radio Frequency ◽  
Receive Signal ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Digital Radio ◽  
Low Pass ◽  
Simulation Results ◽  
Actual Target

Analysis on the operation principle of digital radio frequency memory range (DRFM) with range gate pull off/in (RGPO/RGPI), a model of jamming signal is found in this paper. The use of stretch in the process of radar seeker receive signal is considered, so that the actual target echoes and jamming echoes will be moved into different frequencies. Then a low pass filter can be utilized to cancel the jamming signal and the actual target echo can be rebuilt through inverse stretch dealing. The simulation results show that this method can effectively suppress jamming signal.

Compensation of Stribeck-Type Nonlinear Friction in Positioning Control Using Equivalent-Input-Disturbance Approach

2014 ◽  
Vol 18 (2) ◽  
pp. 150-156 ◽  
Author(s):  
Qi Shi ◽  
◽  
Liyu Ouyang ◽  
Jinhua She ◽  
Li Xu ◽  
...  
Keyword(s):  
Time Constant ◽  
Friction Torque ◽  
Control Input ◽  
Nonlinear Friction ◽  
Mechatronic System ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Positioning Control ◽  
Low Pass ◽  
Simulation Results

A method of compensating for Stribeck-type nonlinear friction torque for a two-mass mechatronic system has been devised based on the equivalent-inputdisturbance (EID) approach. The nonlinearity in the system is treated as an input-dependent disturbance, and an EID estimator is designed that estimates it. The incorporation of the estimate into the control input compensates for the nonlinearity. Simulation results demonstrate the validity of the method and show that the compensation accuracy is closely related to the time constant of the low-pass filter.

Active Low Pass Filter Design Based on Chaos Theory

2013 ◽  
Vol 380-384 ◽  
pp. 3822-3825
Author(s):  
Jing Chang ◽  
Yan Fang Feng ◽  
Wei Feng Li
Keyword(s):  
Chaos Theory ◽  
Filter Design ◽  
Simulation Software ◽  
Effective Solution ◽  
Matlab Simulation ◽  
Output Frequency ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Simulation Results

The circuit in this paper is an effective solution to interference and noise of input signal during data acquisition and the circuit designed is based on an active low pass circuit with output frequency from 0~100Hz. The low pass circuit consisted mainly of an OPAMP TL084. Chaos theory is applied in this active nonlinear filter.The designed circuit is analysed by Matlab simulation software and the simulation results show the method can effectively improve effects of the filtering circuit.

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