Fractional Band-Pass Filters: Design, Implementation and Application to EEG Signal Processing

2017 ◽  
Vol 26 (11) ◽  
pp. 1750170 ◽  
Author(s):  
Jerzy Baranowski ◽  
Paweł Piątek
Keyword(s):  
Signal Processing ◽  
Sufficient Conditions ◽  
Eeg Signals ◽  
Large Signal ◽  
Filter Tuning ◽  
Low Pass ◽  
Promising Area ◽  
Band Pass ◽  
Low Pass Filters ◽  
Eeg Signal Processing

Fractional band-pass filters are a promising area in the signal processing. They are especially attractive as a method for processing of biomedical signals, such as EEG, where large signal distortion is undesired. We present two structures of fractional band-pass filters: one as an analog of classical second-order filter, and one arising from parallel connection of two fractional low-pass filters. We discuss a method for filter implementation — Laguerre Impulse Response Approximation (LIRA) — along with sufficient conditions for when the filter can be realized with it. We then discuss methods of filter tuning, in particular we present some analytical results along with optimization algorithm for numerical tuning. Filters are implemented and tested with EEG signals. We discuss the results highlighting the possible limitations and potential for development.

Characterization of Low-pass Filters on Local Fields of Positive Characteristic

2016 ◽  
Vol 59 (3) ◽  
pp. 528-541 ◽  
Author(s):  
Qaiser Jahan
Keyword(s):  
Positive Characteristic ◽  
Sufficient Conditions ◽  
Local Fields ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Necessary And Sufficient ◽  
Low Pass Filters ◽  
The Scaling Function

AbstractIn this article, we give necessary and sufficient conditions on a function to be a low-pass filter on a local field K of positive characteristic associated with the scaling function for multiresolution analysis of L2(K). We use probability and martingale methods to provide such a characterization.

scholarly journals Glass Patterns: Some Contrast Effects Re-Evaluated

Perception ◽  
1997 ◽  
Vol 26 (3) ◽  
pp. 253-268 ◽  
Author(s):  
Steven C Dakin
Keyword(s):  
Spatial Filtering ◽  
Contrast Effects ◽  
Visual Grouping ◽  
Relative Contrast ◽  
Low Pass ◽  
Band Pass ◽  
Opposite Contrast ◽  
Low Pass Filters ◽  
Glass Patterns ◽  
High Pass

The relative contrast of features is known to be important in determining if they can be grouped. Two manipulations of feature contrast have previously been used to criticise models of visual grouping based on spatial filtering: high-pass filtering and reversal of contrast polarity. The effects of these manipulations are considered in the context of the perception of Glass patterns. It is shown that high-pass filtering elements, whilst destroying structure in the output of low-pass filters, do not significantly disrupt the output of locally band-pass filters. The finding that subjects can perceive structure in Glass patterns composed of high-pass features therefore offers no evidence against such spatial filtering mechanisms. Band-pass filtering models are shown to explain the rotation of perceived structure in Glass patterns composed of opposite contrast features. However, structure is correctly perceived in patterns composed of two ‘interleaved’ opposite contrast patterns, which is problematic for oriented filtering mechanisms. Two possible explanations are considered: nonlinear contrast transduction prior to filtering, and integration of local orientation estimates from first-order and second-order mechanisms.

Realization of band-pass and low-pass filters on a single chip in terahertz regime

2015 ◽  
Vol 11 (1) ◽  
pp. 33-35 ◽  
Author(s):  
Lei Wang ◽  
Zhao-xin Geng ◽  
Xun-jun He ◽  
Ya-peng Cao ◽  
Yu-ping Yang ◽  
...  
Keyword(s):  
Single Chip ◽  
Low Pass ◽  
Band Pass ◽  
Low Pass Filters

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.

scholarly journals Design, Implementation, Comparison, and Performance analysis between Analog Butterworth and Chebyshev-I Low Pass Filter Using Approximation, Python and Proteus

2021 ◽  
Author(s):  
Navid Fazle Rabbi
Keyword(s):  
Signal Processing ◽  
Performance Analysis ◽  
Communication Systems ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Python Programming Language ◽  
Low Pass ◽  
And Performance ◽  
Low Pass Filters ◽  
Python Programming

Abstract Filters are broadly used in signal processing and communication systems in noise reduction. Butterworth, Chebyshev-I Analog Low Pass Filters are developed and implemented in this paper. The filters are manually calculated using approximations and verified using Python Programming Language. Filters are also simulated in Proteus 8 Professional and implemented in the Hardware Lab using the necessary components. This paper also denotes the comparison and performance analysis of filters using Manual Computations, Hardware, and Software.

New Approaches To the Design of Active Filters

SIMULATION ◽  
1966 ◽  
Vol 6 (5) ◽  
pp. 323-336 ◽  
Author(s):  
Peter D. Hansen
Keyword(s):  
High Performance ◽  
Impedance Matching ◽  
Analog Computer ◽  
Active Filters ◽  
Pass Band ◽  
Design Data ◽  
Low Pass ◽  
Band Pass ◽  
Low Pass Filters ◽  
High Pass

Operational amplifiers can greatly simplify the design of high performance signal filters because they elimi nate the need for inductors and for impedance matching. Furthermore, use of active filters can result in reduc tion of weight, size, and cost. Filters designed to satisfy sophisticated mathematical criteria can be realized without resort to "equalization" or trimming. In this issue we discuss the design of operational amplifier and analog computer circuits suitable for use as low pass filters. We also discuss the commonly used mathematically designed filters, i.e. Butterworth, Chebyshev, and Bessel. In addition, we present two new types of theoretical filters, the Paynter and the Aver aging filters. Design data necessary for realizing these theoretical filters with amplifier circuits is provided. In the next issue we shall discuss the design of band pass, band reject, high pass and all pass active filter circuits.

Continuously time‐variable recursive digital band‐pass filters for seismic signal processing

Geophysics ◽  
1983 ◽  
Vol 48 (6) ◽  
pp. 702-712 ◽  
Author(s):  
R. A. Stein ◽  
N. R. Bartley
Keyword(s):  
Signal Processing ◽  
Seismic Signal ◽  
Time Variable ◽  
Band Pass Filter ◽  
Worst Case ◽  
Pass Filter ◽  
Time Direction ◽  
Low Pass ◽  
Band Pass ◽  
Seismic Signal Processing

A design technique is described for continuously time‐variable recursive digital band‐pass filters for seismic signal processing. Two types of band‐pass filters are considered: a cascade of a low‐pass and a high‐pass filter, and a direct band‐pass filter, with all filters being derived from a continuous unit‐bandwidth Butterworth low‐pass prototype. Linear interpolation of the filter coefficients between points at which they are known exactly is used to reduce the computational overhead. Data are given for determining the length of the interpolation interval to meet prescribed worst case magnitude and frequency error criteria. A zero‐phase response is achieved by filtering in the forward time direction followed by filtering in the reverse time direction. An example is included.

scholarly journals Preset time count rate meter using adaptive digital signal processing

2005 ◽  
Vol 20 (1) ◽  
pp. 64-73 ◽  
Author(s):  
Aleksandar Zigic
Keyword(s):  
Signal Processing ◽  
Count Rate ◽  
Time Interval ◽  
Adaptation Algorithm ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Preset Time ◽  
The Mean ◽  
Low Pass Filters

Two presented methods were developed to improve classical preset time count rate meters by using adapt able signal processing tools. An optimized detection algorithm that senses the change of mean count rate was implemented in both methods. Three low-pass filters of various structures with adaptable parameters to implement the control of the mean count rate error by suppressing the fluctuations in a controllable way, were considered and one of them implemented in both methods. An adaptation algorithm for preset time interval calculation executed after the low-pass filter was devised and implemented in the first method. This adaptation algorithm makes it possible to obtain shorter preset time intervals for higher stationary mean count rate. The adaptation algorithm for preset time interval calculation executed before the low-pass filter was devised and implemented in the second method. That adaptation algorithm enables sensing of a rapid change of the mean count rate before fluctuations suppression is carried out. Some parameters were fixed to their optimum values after appropriate optimization procedure. Low-pass filters have variable number of stationary coefficients depending on the specified error and the mean count rate. They implement control of the mean count rate error by suppressing fluctuations in a controllable way. The simulated and realized methods, using the developed algorithms, guarantee that the response time shall not exceed 2 s for the mean count rate higher than 2 s-1 and that controllable mean count rate error shall be within the range of ?4% to ?10%.

Embedded RF Filters for WLAN and Bluetooth Applications

2005 ◽  
Author(s):  
Telesphor Kamgaing ◽  
Jiangqi He ◽  
Rockwell Hsu
Keyword(s):  
Real Estate ◽  
Process Variations ◽  
High Volume ◽  
Organic Substrate ◽  
Electrical Performance ◽  
Rf Filters ◽  
Low Pass ◽  
Band Pass ◽  
Electrical Analysis ◽  
Low Pass Filters

This paper discusses the design and integration of RF filters in multilayer organic substrate. Using a methodic approach, several low-pass and band-pass filters have been designed, fabricated and fully characterized. The electrical analysis clearly indicates, which of the low-pass filters is less susceptible to process variations and therefore more appropriate for high volume manufacturing. It is shown that these filters provide electrical performance similar to their commercially available ceramic counterparts while using relatively smaller real estate. All filters are fabricated in the innermost layers of a multilayer organic package substrate with embedded passives capability.

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