Digital signal processing with DHT

Discrete Hartley Transform and its applications - A review

Nibedita Patra, Sudhansu Sekhar Nayak


Digital signal processing (DSP) has become the single most powerful essential component in all technological applications, which include multimedia as well as mobile communications, data compression, network cameras, mobile phones, sensor imaging, acoustic beam formers, GPS, but also biomedical signal processing, and so on. Almost all of these applications place various demands on DSP systems, such as the ability to handle high throughput data as required by real-world applications, the requirement for reduced power, and the need for chip space. Transforms are helpful to convert one data type to another in DSP applications. The Hartley Transform (DHT) is important in Digital Signal Processing. When the input sequence is real, DHT is equivalent to Fast Fourier transform and it is utilized in the applications of image and optical signal processing, computer vision as well as teleconferencing and processing or analysis of moving images. Many DHT algorithms are developed by the authors for the application of optical signal processing, image processing as well as VLSI implementations and the review has been presented in this paper.


Digital Signal Processing; Discrete Fourier Transform; Discrete Hartley Transform; VLSI implementation; Image processing

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