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Valarmathi, R. S.
- Design and Implementation of Fractal Antenna with Integrated Parallel Line Coupled Band pass Filter for Multiband Applications
Abstract Views :184 |
PDF Views:5
Authors
P. Ramya
1,
R. S. Valarmathi
2
Affiliations
1 Department of ECE, Bannari Amman Institute of Technology, IN
2 Department of ECE, Bannari Amman Institute of Technology, IN
1 Department of ECE, Bannari Amman Institute of Technology, IN
2 Department of ECE, Bannari Amman Institute of Technology, IN
Source
Wireless Communication, Vol 9, No 6 (2017), Pagination: 109-114Abstract
A new approach is used to design the printed Band pass Filtering Antenna. Multifunction, multi-use components with design of miniaturization are in considerable demand in wireless communication systems. In these systems, both antennas and filters are usually larger components compared to other components. A single compact module can be designed to provide both the desired filtering and radiating performances. The microstrip parallel line coupled band pass filter with fractal antenna integration approach reduces the integrated antenna system size and the transmission loss between the filter and the antenna and is used in WLAN, Bluetooth and WIMAX. The fractal antennas with integrated parallel line coupled band pass filter are printed on the same layer. The impedance between the antenna and the filter is optimized to improve the performance of the system without restricting it to 50Ω.
Keywords
Parallel Coupled Line Band Pass Filter, Fractal Antenna, FR4, Radiation Pattern, Multiband.
References
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- Delta Mel Frequency Cepstral Coefficient Based Feature Extraction Algorithm for Continuous Tamil Speech Recognition
Abstract Views :175 |
PDF Views:5
Authors
Affiliations
1 Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu-638401, IN
1 Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu-638401, IN
Source
Digital Signal Processing, Vol 9, No 9 (2017), Pagination: 177-184Abstract
Continuous Speech Recognition for human-machine interface still remains a challenging problem today. It requires more sophisticated pre processing such as feature extraction techniques to overcome the challenging problem faced by recognizer under different environmental conditions. In this paper, the Delta Mel Frequency Cepstral Coefficient based feature extraction method for continuous tamil speech recognition is proposed to extract the predominant features. Performance measures are evaluated for different speech recognition models with various MFCCs per frame. From the evaluated results, it is observed that the proposed delta MFCC (26 MFCCs per frame) provides significant improvement for all models under various speech signal environments.Keywords
Delta Features, Energy, Feature Extraction, Speech Recognition.References
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