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Fco Javier Lastra Freige
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oral presentation at ACIVS'2010 conference, Sydney Australia
Non-maximum suppression using fewer than two comparison per pixels
Non-maximum suppression using fewer than two comparison per pixels
Tuan Q. Pham
A novel adaptive beam forming technique is proposed for wireless communication applications based on the minimum bit error rate (MBER) criterion known as LMS algorithm. LMS (Least Mean Square) algorithm is used for steering the antenna beam electronically. Using the Rectangular, Hamming, Kaiser, Chebyshev windows both the block-data and sample-by-sample adaptive implementations of the MBER solution are developed. By making use of window techniques half power beam width of an antenna is enhanced using Matlab simulation. The gain of the system will definitely improve the performance of CDMA based system, where the number of interferes is quite large and helps to increase the spectral efficiency of wireless communication systems. Any beam former that can depress the large number of interferers will improve the capacity and performance. Such beam formers are called smart antennas. They improve signal to interference ratio (SIR) of the communication system efficiently by forming narrow beam towards desired user and low side towards undesired users. Smart antennas offer a broad range of ways to improve wireless system performance.
A Novel Approach for Interference Suppression Using a Improved LMS Based Adap...
A Novel Approach for Interference Suppression Using a Improved LMS Based Adap...
IJRST Journal
Its About a little description about Speech Signal Analysis........
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Multirate
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aiQUANT
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MOHAN MOHAN
A presentation towards explaining conecpt of RF Transceivers
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Recomendados
oral presentation at ACIVS'2010 conference, Sydney Australia
Non-maximum suppression using fewer than two comparison per pixels
Non-maximum suppression using fewer than two comparison per pixels
Tuan Q. Pham
A novel adaptive beam forming technique is proposed for wireless communication applications based on the minimum bit error rate (MBER) criterion known as LMS algorithm. LMS (Least Mean Square) algorithm is used for steering the antenna beam electronically. Using the Rectangular, Hamming, Kaiser, Chebyshev windows both the block-data and sample-by-sample adaptive implementations of the MBER solution are developed. By making use of window techniques half power beam width of an antenna is enhanced using Matlab simulation. The gain of the system will definitely improve the performance of CDMA based system, where the number of interferes is quite large and helps to increase the spectral efficiency of wireless communication systems. Any beam former that can depress the large number of interferers will improve the capacity and performance. Such beam formers are called smart antennas. They improve signal to interference ratio (SIR) of the communication system efficiently by forming narrow beam towards desired user and low side towards undesired users. Smart antennas offer a broad range of ways to improve wireless system performance.
A Novel Approach for Interference Suppression Using a Improved LMS Based Adap...
A Novel Approach for Interference Suppression Using a Improved LMS Based Adap...
IJRST Journal
Its About a little description about Speech Signal Analysis........
Speech Signal Analysis
Speech Signal Analysis
Pradeep Reddy Guvvala
Multirate
Multirate
aiQUANT
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MOHAN MOHAN
A presentation towards explaining conecpt of RF Transceivers
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Pawan Alamuri
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Venkata Sudhir Vedurla
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Sanjay Singh
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Sushant Burde
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Naval Kush
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Dheeraj Upadhyay
• SAP BPC NW Consolidation • Consolidation on Inter Company Transaction • Consolidation on Inter Investments • IC Matching • IC Booking • IC Eliminations • Ownership • Equity • Minority Interest
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Jothi Periasamy
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Fco Javier Lastra Freige
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Montaje cuentos
Montaje cuentos
Tormentaen santander +
Tormentaen santander +
El balde chino
El balde chino
Los sentidos
Los sentidos
Quieres ser feliz
Quieres ser feliz
Quieres ser feliz
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Viérnoles 2014
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Nuestros alumnos de 6º en Viérnoles
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