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The Regularized Fast Hartley Transform
Keith John Jones
其他書名
Low-Complexity Parallel Computation of the FHT in One and Multiple Dimensions
出版Springer Nature, 2021-09-03
主題Technology & Engineering / Signals & Signal ProcessingComputers / Computer ScienceTechnology & Engineering / TelecommunicationsTechnology & Engineering / Electronics / GeneralTechnology & Engineering / ElectricalMathematics / Discrete Mathematics
ISBN30306824559783030682453
URLhttp://books.google.com.hk/books?id=fwFBEAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋This book describes how a key signal/image processing algorithm – that of the fast Hartley transform (FHT) or, via a simple conversion routine between their outputs, of the real‐data version of the ubiquitous fast Fourier transform (FFT) – might best be formulated to facilitate computationally-efficient solutions. The author discusses this for both 1-D (such as required, for example, for the spectrum analysis of audio signals) and m‐D (such as required, for example, for the compression of noisy 2-D images or the watermarking of 3-D video signals) cases, but requiring few computing resources (i.e. low arithmetic/memory/power requirements, etc.). This is particularly relevant for those application areas, such as mobile communications, where the available silicon resources (as well as the battery-life) are expected to be limited. The aim of this monograph, where silicon‐based computing technology and a resource‐constrained environment is assumed and the data is real-valued in nature, hasthus been to seek solutions that best match the actual problem needing to be solved.