Abstract:
In this paper, we propose several high-speed area-efficient recursive discrete Fourier transform (DFT)/inverse DFT (IDFT) designs adopting the module-sharing and register...Show MoreMetadata
Abstract:
In this paper, we propose several high-speed area-efficient recursive discrete Fourier transform (DFT)/inverse DFT (IDFT) designs adopting the module-sharing and register-splitting schemes. The proposed core architecture achieves one multiplier reduction as well as less critical period and a saving of nearly half multiplications compared with the second-order and first-order recursive DFT structures, respectively. So as to reduce the number of computation cycles, based on the new core design, we develop the area-efficient parallel and folded recursive DFT/IDFT architectures. Moreover, due to the advantages of regular and modular structure, the resulting high-speed area-efficient recursive DFT/IDFT architectures are amenable to application-specific integrated circuit (ASIC) design.
Date of Conference: 23-26 May 2004
Date Added to IEEE Xplore: 03 September 2004
Print ISBN:0-7803-8251-X
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Discrete Fourier Transform ,
- Core Design ,
- First-order Structure ,
- Recursive Structure ,
- Second-order Structure ,
- Inverse Discrete Fourier Transform ,
- Cycle Calculation ,
- Core Architecture ,
- Transfer Function ,
- Total Computation ,
- Recursive Algorithm ,
- Signal Path ,
- Chebyshev Polynomials ,
- Complex Multiplication
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Discrete Fourier Transform ,
- Core Design ,
- First-order Structure ,
- Recursive Structure ,
- Second-order Structure ,
- Inverse Discrete Fourier Transform ,
- Cycle Calculation ,
- Core Architecture ,
- Transfer Function ,
- Total Computation ,
- Recursive Algorithm ,
- Signal Path ,
- Chebyshev Polynomials ,
- Complex Multiplication