1981
DOI: 10.1016/0165-1684(81)90077-3
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Fixed-point error analysis of radix-4 FFT

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Cited by 21 publications
(4 citation statements)
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“…This can be attributed to the less computation stages in Radix-4, which results in less accumulation of arithmetic errors. Our observation matches with the theoretical results in [5]. Note that, Flavor in Table I; QPSK, Gray mapping, n = 1024, r = 1/2, Non-systematic conv.…”
Section: Simulation Results and Observationssupporting
confidence: 94%
See 1 more Smart Citation
“…This can be attributed to the less computation stages in Radix-4, which results in less accumulation of arithmetic errors. Our observation matches with the theoretical results in [5]. Note that, Flavor in Table I; QPSK, Gray mapping, n = 1024, r = 1/2, Non-systematic conv.…”
Section: Simulation Results and Observationssupporting
confidence: 94%
“…Performance analysis of FFT has been done by evaluating the error variance in [4][5][6]. Recently, error analysis has been done focussing on few parameters [7] and on few properties, e.g.…”
Section: Motivation: the Nucleus Conceptmentioning
confidence: 99%
“…Floating point representation of data (I/O samples, internal data-paths, twiddle factors) implies too large internal word lengths and is not suitable for ASIC implementation of large transform sizes [10,14]. Assessing the impact of finite-precision arithmetic is thus crucial for configuring the core.…”
Section: Machine Arithmetic Designmentioning
confidence: 99%
“…The proposed IP core is based on radix-4 factorization, because of its higher output precision and reduced number of multiplications with respect to radix-2 factorization [14]. As a drawback, radix-4 factorization is applicable only for power-of-four transform lengths, thus an optional radix-2 stage is required if transform length is a power-of-two.…”
Section: Fft/ifft Configurable Architecturementioning
confidence: 99%