Publicado por LAP Lambert Academic Publishing, 2024
ISBN 10: 6208224608 ISBN 13: 9786208224608
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Publicado por LAP Lambert Academic Publishing, 2024
ISBN 10: 6208224608 ISBN 13: 9786208224608
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Publicado por LAP Lambert Academic Publishing, 2024
ISBN 10: 6208224608 ISBN 13: 9786208224608
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Publicado por LAP Lambert Academic Publishing, 2024
ISBN 10: 6208224608 ISBN 13: 9786208224608
Idioma: Inglés
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Añadir al carritoPaperback. Condición: new. Paperback. OFDM is mainly used to transmit video and audio signals efficiently with high performance and speed. FFT has various applications in, digital signal processing, and biomedical applications. There is a demand for semiconductor technology in terms of high performance, low area and power consumption. This increasing power is a significant problem in current processing communication technology. Therefore, various low-power FFT processors are designed to maximise the system life and meet consumer demand by extending the battery life at a lower cost. In this thesis, FFT processor is designed by using optimized radix 2 DIT butterfly structure with proposed floating point adders and floating point multipliers. The performance of the proposed binary floating point Vedic multiplier is compared with existing floating point multipliers with different adders. The designed cached FFT processor using radix 26 algorithm with SDF pipeline architecture, compared the performance parameters like area, power and operating frequency with existing pipeline architectures. We demonstrated that our proposed Binary floating point Vedic multiplier in Cached radix 26 SDF FFT achieves better power consumption. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por LAP Lambert Academic Publishing, 2024
ISBN 10: 6208224608 ISBN 13: 9786208224608
Idioma: Inglés
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Publicado por LAP LAMBERT Academic Publishing Nov 2024, 2024
ISBN 10: 6208224608 ISBN 13: 9786208224608
Idioma: Inglés
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -OFDM is mainly used to transmit video and audio signals efficiently with high performance and speed. FFT has various applications in, digital signal processing, and biomedical applications. There is a demand for semiconductor technology in terms of high performance, low area and power consumption. This increasing power is a significant problem in current processing communication technology. Therefore, various low-power FFT processors are designed to maximise the system life and meet consumer demand by extending the battery life at a lower cost. In this thesis, FFT processor is designed by using optimized radix 2 DIT butterfly structure with proposed floating point adders and floating point multipliers. The performance of the proposed binary floating point Vedic multiplier is compared with existing floating point multipliers with different adders. The designed cached FFT processor using radix 26 algorithm with SDF pipeline architecture, compared the performance parameters like area, power and operating frequency with existing pipeline architectures. We demonstrated that our proposed Binary floating point Vedic multiplier in Cached radix 26 SDF FFT achieves better power consumption.Books on Demand GmbH, Überseering 33, 22297 Hamburg 144 pp. Englisch.
Publicado por LAP Lambert Academic Publishing, 2024
ISBN 10: 6208224608 ISBN 13: 9786208224608
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
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Añadir al carritoPaperback. Condición: new. Paperback. OFDM is mainly used to transmit video and audio signals efficiently with high performance and speed. FFT has various applications in, digital signal processing, and biomedical applications. There is a demand for semiconductor technology in terms of high performance, low area and power consumption. This increasing power is a significant problem in current processing communication technology. Therefore, various low-power FFT processors are designed to maximise the system life and meet consumer demand by extending the battery life at a lower cost. In this thesis, FFT processor is designed by using optimized radix 2 DIT butterfly structure with proposed floating point adders and floating point multipliers. The performance of the proposed binary floating point Vedic multiplier is compared with existing floating point multipliers with different adders. The designed cached FFT processor using radix 26 algorithm with SDF pipeline architecture, compared the performance parameters like area, power and operating frequency with existing pipeline architectures. We demonstrated that our proposed Binary floating point Vedic multiplier in Cached radix 26 SDF FFT achieves better power consumption. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por LAP Lambert Academic Publishing, 2024
ISBN 10: 6208224608 ISBN 13: 9786208224608
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
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Añadir al carritoPaperback. Condición: new. Paperback. OFDM is mainly used to transmit video and audio signals efficiently with high performance and speed. FFT has various applications in, digital signal processing, and biomedical applications. There is a demand for semiconductor technology in terms of high performance, low area and power consumption. This increasing power is a significant problem in current processing communication technology. Therefore, various low-power FFT processors are designed to maximise the system life and meet consumer demand by extending the battery life at a lower cost. In this thesis, FFT processor is designed by using optimized radix 2 DIT butterfly structure with proposed floating point adders and floating point multipliers. The performance of the proposed binary floating point Vedic multiplier is compared with existing floating point multipliers with different adders. The designed cached FFT processor using radix 26 algorithm with SDF pipeline architecture, compared the performance parameters like area, power and operating frequency with existing pipeline architectures. We demonstrated that our proposed Binary floating point Vedic multiplier in Cached radix 26 SDF FFT achieves better power consumption. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por LAP LAMBERT Academic Publishing Nov 2024, 2024
ISBN 10: 6208224608 ISBN 13: 9786208224608
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 144 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208224608 ISBN 13: 9786208224608
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 69,73
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Publicado por LAP Lambert Academic Publishing, 2024
ISBN 10: 6208224608 ISBN 13: 9786208224608
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
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Publicado por LAP Lambert Academic Publishing, 2024
ISBN 10: 6208224608 ISBN 13: 9786208224608
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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