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.
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Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9786208224608
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Taschenbuch. 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. Nº de ref. del artículo: 9786208224608
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Taschenbuch. Condición: Neu. Implementation of FFT Processor In Nanometer Technologies | Low Power Design Methodologies of FFT Processor | Padma Challa (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208224608 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 130657514
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