Expansion of a Frequency Range in the WR-4 Band Filter Bank

2019 ◽  
Vol 139 (11) ◽  
pp. 551-557 ◽  
Author(s):  
Takashi Kawamura ◽  
Masaaki Fuse ◽  
Shigenori Mattori
Keyword(s):  
Filter Bank ◽  
Frequency Range ◽  
Band Filter

HF band filter bank multi-carrier spread spectrum

2015 ◽  
Author(s):  
Stephen Andrew Laraway ◽  
Hussein Moradi ◽  
Behrouz Farhang-Boroujeny
Keyword(s):  
Spread Spectrum ◽  
Filter Bank ◽  
Band Filter

Region based feature extraction from non-cooperative iris images using triplet half-band filter bank

2015 ◽  
Vol 72 ◽  
pp. 6-14 ◽  
Author(s):  
Soubhagya Sankar Barpanda ◽  
Banshidhar Majhi ◽  
Pankaj Kumar Sa
Keyword(s):  
Feature Extraction ◽  
Filter Bank ◽  
Band Filter

Narrow-band filter for the frequency range of 1.9 GHz using double-sided YBCO films on 10-mm-square and 20-mm-square LaAlO/sub 3/ substrates

2003 ◽  
Vol 13 (2) ◽  
pp. 272-275 ◽  
Author(s):  
L.M. Wang ◽  
Mao-Yuan Horng ◽  
Chen-Chung Liu ◽  
Jyh-Haur Tsao ◽  
H.H. Sung ◽  
...  
Keyword(s):  
Narrow Band ◽  
Frequency Range ◽  
Ybco Films ◽  
Band Filter ◽  
Narrow Band Filter

Three Channel Wavelet Filter Banks With Minimal Time Frequency Spread for Classification of Seizure-Free and Seizure EEG Signals

2020 ◽  
pp. 220-236
Author(s):  
Dinesh Bhati ◽  
Akruti Raikwar ◽  
Ram Bilas Pachori ◽  
Vikram M. Gadre
Keyword(s):  
Classification Accuracy ◽  
Filter Bank ◽  
Optimality Criteria ◽  
Wavelet Filter ◽  
Eeg Signals ◽  
Time Frequency ◽  
Minimal Time ◽  
Frequency Spread ◽  
Band Filter ◽  
Wavelet Filter Bank

The authors compute the classification accuracy of minimal time-frequency spread wavelet filter bank with three channels in discriminating seizure-free and seizure electroencephalogram (EEG) signals. Wavelet filter bank with three channels generates two wavelet functions and one scaling function at the first level of wavelet decomposition. A time-frequency localized filter bank can be generated by minimizing the time spread and frequency spread of any one or all the functions simultaneously. The minimal time-frequency spread wavelet filter bank with three channels of regularity order, one designed with several different time-frequency optimality criteria and length six, are chosen, and the effect of each optimality criterion on the discrimination of seizure-free and seizure EEG signals is computed. The classification accuracy for five different optimality criteria are computed. Time-frequency localized three-band filter bank of length six classifies, the seizure-free and seizure EEG signals of Bonn University EEG database, with 98.25% of accuracy.

Blood Flow Estimation Error with Intravascular Ultrasound Due to In-Plane Component of Flow

2003 ◽  
Vol 25 (3) ◽  
pp. 193-212 ◽  
Author(s):  
F.J. de Ana ◽  
M. O'Donnell
Keyword(s):  
Blood Flow ◽  
Intravascular Ultrasound ◽  
Frequency Band ◽  
Filter Bank ◽  
Slow Time ◽  
Worst Case ◽  
Flow Angle ◽  
Plane Flow ◽  
True Value ◽  
Band Filter

Previously, we presented a real-time method to measure blood flow perpendicular to the image plane of an intravascular ultrasound (IVUS) imaging system using a slow-time FIR (finite impulse response) filter bank. Any in-plane flow introduces error in the flow measurement using the filter bank algorithm. Simulations show that for a flow angle of ±10° and velocities between 200 mm/s and 300 mm/s, the energy within the lowest frequency band filter is 6.92 to 7.80 times higher than for perpendicular flow in the worst case. We present a variation of the FIR filter bank algorithm, applying filter coefficients in a tilted fashion to slow-time signals (i.e., combining slow-time and fast-time). An appropriate tilt, which depends on the flow angle and velocity, corrects for the increased energy under the frequency bands. In this case, the energy under the lowest frequency band filter for an angle of ±10° and velocities ranging from 200 mm/s to 300 mm/s is 2.09 to 2.94 times higher than for perpendicular flow, yielding greater than a factor of three improvement in the worst case over the original slow-time method. Moreover, the average energy over the vessel determined with the appropriate tilt is within 2–3% of the true value.

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