An algorithm for evaluating the discrete Fourier transform (DFT) at particular output frequency is derived using a technique called summation by parts (SBP). This technique is shown to reduce the number of multiplications and the number of bits per multiplicative coefficient needed to implement the DFT. For many transform lengths, only two one-bit multiplications or simple memory shifts are needed to implement the DFT. When the DFT length is prime, a SBP algorithm designed for a fixed output frequency index can be used to evaluate the DFT at any other nonzero output frequency index simply by appropriately changing the order of the input sequence
], Knuth [73] and Van Loan [129]. Copyright c fl 1997 R. P. Brent math207/outline 2 DFT, FFT and...
The fast Fourier transform is investigated. It is proved that the number of real (as opposed to comp...
This thesis develops several new algorithms for computing the discrete Fourier transform (DFT). The ...
An algorithm for evaluating the discrete Fourier transform (DFT) at particular output frequency is d...
An algorithm for evaluating the discrete Fourier transform (DFT) at particular output frequency is d...
The computational complexity and the effects of quantization and sampling instant errors in the arit...
The computational complexity and the effects of quantization and sampling instant errors in the arit...
The computational complexity and the effects of quantization and sampling instant errors in the arit...
Abstract: It is shown that number theoretic transforms (NTT) can be used to compute discrete Fourier...
A broad class of efficient discrete Fourier transform algorithms is developed by partitioning short ...
An algorithm is proposed for computing the Fourier Transform (FT) of a uniformly sampled signal at a...
Abstract: In the paper the results of a study using Fermat number transforms (FNTs) to compute discr...
. This paper presents a new fast Discrete Fourier Transform (DFT) algorithm. By rewriting the DFT, a...
This paper introduces the theory and hardware im-plementation of two new algorithms for computing a ...
Discrete Fourier transform (DFT) is an important tool in digital signal processing. In the present p...
], Knuth [73] and Van Loan [129]. Copyright c fl 1997 R. P. Brent math207/outline 2 DFT, FFT and...
The fast Fourier transform is investigated. It is proved that the number of real (as opposed to comp...
This thesis develops several new algorithms for computing the discrete Fourier transform (DFT). The ...
An algorithm for evaluating the discrete Fourier transform (DFT) at particular output frequency is d...
An algorithm for evaluating the discrete Fourier transform (DFT) at particular output frequency is d...
The computational complexity and the effects of quantization and sampling instant errors in the arit...
The computational complexity and the effects of quantization and sampling instant errors in the arit...
The computational complexity and the effects of quantization and sampling instant errors in the arit...
Abstract: It is shown that number theoretic transforms (NTT) can be used to compute discrete Fourier...
A broad class of efficient discrete Fourier transform algorithms is developed by partitioning short ...
An algorithm is proposed for computing the Fourier Transform (FT) of a uniformly sampled signal at a...
Abstract: In the paper the results of a study using Fermat number transforms (FNTs) to compute discr...
. This paper presents a new fast Discrete Fourier Transform (DFT) algorithm. By rewriting the DFT, a...
This paper introduces the theory and hardware im-plementation of two new algorithms for computing a ...
Discrete Fourier transform (DFT) is an important tool in digital signal processing. In the present p...
], Knuth [73] and Van Loan [129]. Copyright c fl 1997 R. P. Brent math207/outline 2 DFT, FFT and...
The fast Fourier transform is investigated. It is proved that the number of real (as opposed to comp...
This thesis develops several new algorithms for computing the discrete Fourier transform (DFT). The ...