ID - 131711374 TI - The Regularized Fast Hartley Transform : Optimal Formulation of Real-Data Fast Fourier Transform for Silicon-Based Implementation in Resource-Constrained Environments PY - 2010 SN - 9789048139170 9789048139620 9789048139163 9789400731783 PB - Dordrecht Springer Netherlands DB - UniCat KW - Harmonic analysis. Fourier analysis KW - Mathematics KW - Electrical engineering KW - Applied physical engineering KW - Mass communications KW - Computer architecture. Operating systems KW - Computer. Automation KW - Fourieranalyse KW - toegepaste wiskunde KW - computers KW - economie KW - informatica KW - wiskunde KW - computernetwerken KW - elektrotechniek KW - communicatietechnologie UR - https://www.unicat.be/uniCat?func=search&query=sysid:131711374 AB - When designing high-performance DSP systems for implementation with silicon-based computing technology, the oft-encountered problem of the real-data DFT is typically addressed by exploiting an existing complex-data FFT, which can easily result in an overly complex and resource-hungry solution. The research described in The Regularized Fast Hartley Transform: Optimal Formulation of Real-Data Fast Fourier Transform for Silicon-Based Implementation in Resource-Constrained Environments deals with the problem by exploiting directly the real-valued nature of the data and is targeted at those real-world applications, such as mobile communications, where size and power constraints play key roles in the design and implementation of an optimal solution. The Regularized Fast Hartley Transform provides the reader with the tools necessary to both understand the proposed new formulation and to implement simple design variations that offer clear implementational advantages, both practical and theoretical, over more conventional complex-data solutions to the problem. The highly-parallel formulation described is shown to lead to scalable and device-independent solutions to the latency-constrained version of the problem which are able to optimize the use of the available silicon resources, and thus to maximize the achievable computational density, thereby making the solution a genuine advance in the design and implementation of high-performance parallel FFT algorithms. ER -