Journal Article

·2016 OPEN ACCESS

Code generator for implementing dual tree complex wavelet transform on reconfigurable architectures for mobile applications

Ferhat Canbay YTU , Vecdi Emre Levent , Görkem Serbes YTU , H. Fatih Uğurdağ , Sezer Gören , Nizamettin Aydın YTU

Healthcare Technology Letters

Abstract

The authors aimed to develop an application for producing different architectures to implement dual tree complex wavelet transform (DTCWT) having near shift‐invariance property. To obtain a low‐cost and portable solution for implementing the DTCWT in multi‐channel real‐time applications, various embedded‐system approaches are realised. For comparison, the DTCWT was implemented in C language on a personal computer and on a PIC microcontroller. However, in the former approach portability and in the latter desired speed performance properties cannot be achieved. Hence, implementation of the DTCWT on a reconfigurable platform such as field programmable gate array, which provides portable, low‐cost, low‐power, and high‐performance computing, is considered as the most feasible solution. At first, they used the system generator DSP design tool of Xilinx for algorithm design. However, the design implemented by using such tools is not optimised in terms of area and power. To overcome all these drawbacks mentioned above, they implemented the DTCWT algorithm by using Verilog Hardware Description Language, which has its own difficulties. To overcome these difficulties, simplify the usage of proposed algorithms and the adaptation procedures, a code generator program that can produce different architectures is proposed.

Keywords

Computer science Complex wavelet transform Software portability Embedded system Field-programmable gate array Generator (circuit theory) Microcontroller Verilog Computer hardware Code generation Computer engineering Code (set theory) Wavelet transform Computer architecture Algorithm Artificial intelligence Power (physics) Wavelet Discrete wavelet transform Programming language

Subject Areas

Image and Signal Denoising Methods ·Computer Vision and Pattern Recognition ·Physical Sciences
Advanced Data Compression Techniques ·Computer Vision and Pattern Recognition ·Physical Sciences
Digital Filter Design and Implementation ·Signal Processing ·Physical Sciences

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