Results 221 to 230 of about 468,310 (277)
M<sup>2</sup>NuFFT-A computationally efficient suboptimal power spectrum estimator for fast exploration of nonuniformly sampled time series. [PDF]
Digit Signal ProcessCui J, Brinkmann BH, Worrell GA.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
2018
As was defined in a previous chapter, the discrete Fourier transform (DFT) is the sampled version of the discrete-time Fourier transform (DTFT), with a finite number of samples taken around the unit circle in the Z-domain. DFT is very useful in the analysis of discrete-time signals and linear time-invariant discrete-time systems.
Brian E. Dalrymple, E. Jill Smith
+4 more sources
As was defined in a previous chapter, the discrete Fourier transform (DFT) is the sampled version of the discrete-time Fourier transform (DTFT), with a finite number of samples taken around the unit circle in the Z-domain. DFT is very useful in the analysis of discrete-time signals and linear time-invariant discrete-time systems.
Brian E. Dalrymple, E. Jill Smith
+4 more sources
2021
In this chapter we learn radix-2 decimation-in-time fast Fourier transform algorithm—the most important algorithm in DSP. We understand the divide-and-conquer philosophy of all FFT algorithms in which inputs samples are recursively divided into smaller and smaller groups, finally the DFT is calculated upon very small data vectors, e.g.
openaire +2 more sources
In this chapter we learn radix-2 decimation-in-time fast Fourier transform algorithm—the most important algorithm in DSP. We understand the divide-and-conquer philosophy of all FFT algorithms in which inputs samples are recursively divided into smaller and smaller groups, finally the DFT is calculated upon very small data vectors, e.g.
openaire +2 more sources
Proceedings of the November 7-10, 1966, fall joint computer conference on XX - AFIPS '66 (Fall), 1966
The "Fast Fourier Transform" has now been widely known for about a year. During that time it has had a major effect on several areas of computing, the most striking example being techniques of numerical convolution, which have been completely revolutionized. What exactly is the "Fast Fourier Transform"?
W. M. Gentleman, G. Sande
openaire +1 more source
The "Fast Fourier Transform" has now been widely known for about a year. During that time it has had a major effect on several areas of computing, the most striking example being techniques of numerical convolution, which have been completely revolutionized. What exactly is the "Fast Fourier Transform"?
W. M. Gentleman, G. Sande
openaire +1 more source
2020
The fast Fourier Transform (FFT) is an algorithm that increases the computation speed of the DFT of a sequence or its inverse (DFT) by simplifying its complexity. This is because by computing the DFT and IDFT directly from its definition is often too slow to be practical.
openaire +1 more source
The fast Fourier Transform (FFT) is an algorithm that increases the computation speed of the DFT of a sequence or its inverse (DFT) by simplifying its complexity. This is because by computing the DFT and IDFT directly from its definition is often too slow to be practical.
openaire +1 more source
2004
Abstract This chapter demonstrates the use of different data distributions in different phases of a parallel fast Fourier transform (FFT), which is a regular computation with a predictable but challenging data access pattern. Both the block and cyclic distributions are used and also intermediates between them.
openaire +1 more source
Abstract This chapter demonstrates the use of different data distributions in different phases of a parallel fast Fourier transform (FFT), which is a regular computation with a predictable but challenging data access pattern. Both the block and cyclic distributions are used and also intermediates between them.
openaire +1 more source
2012
In the computation of classical Discrete Fourier Transform (DFT), the computational complexity is huge especially for complex multiplication and complex addition the processor takes large amount of time cycles. In the present chapter faster methods of doing DFT are discussed. As we know, to expedite any algorithm, parallel processing is required.
openaire +1 more source
In the computation of classical Discrete Fourier Transform (DFT), the computational complexity is huge especially for complex multiplication and complex addition the processor takes large amount of time cycles. In the present chapter faster methods of doing DFT are discussed. As we know, to expedite any algorithm, parallel processing is required.
openaire +1 more source
2014
The digital Fourier transform (DFT) pair introduced in Chap. 4 is a very useful formula for numerical operations of the Fourier transform. However, if one tries to perform the calculation, it requires a large number of computations.
openaire +2 more sources
The digital Fourier transform (DFT) pair introduced in Chap. 4 is a very useful formula for numerical operations of the Fourier transform. However, if one tries to perform the calculation, it requires a large number of computations.
openaire +2 more sources