In this paper, we present a new fast Fourier transform (FFT) hardware architecture called constant multiplier (CM) FFT. Whereas rotators in previous architectures must rotate among several different angles, the CM FFT exploits use of multipliers to calculate rotations. The paper explores 4-parallel and 8-parallel radix-2 FFT, which calculates entirely by using multipliers. Later, radices 2 <sup...

Orthogonal frequency division multiplexing (OFDM) is a popular method for wireless transmission of data at high rate. To increase the speed of transmission, the input high rate data stream is divided into many small data streams which are then transmitted parallel in OFDM system. The key component of OFDM system is the FFT processor. FFT converts the input time domain signal into frequency doma...

Five-Factor Theory (FFT) is a conceptualization of the personality system that identifies traits as abstract Basic Tendencies rooted in biology. In this chapter, FFT is examined in relation to recent findings in cross-cultural psychology reported in this volume. FFT correctly predicts the universality of personality structure, maturation, and gender differentiation. FFT suggests that difference...

In the context of FFT-based maximum-likelihood (ML) detection of a complex sinusoid in noise, we consider the result of terminating the FFT at an intermediate stage of computation and applying the ML detection strategy to its unnnished results. We show that detection performance increases monotonically with the number of FFT stages completed , converging ultimately to that of the exact ML detec...

OFDM technology promises to be a key technique for achieving the high data capacity and spectral efficiency requirements for wireless communication systems in future. Fast Fourier transform (FFT) processing is one of the key procedures in popular orthogonal frequency division multiplexing (OFDM) communication systems. A parallel and pipelined Fast Fourier Transform (FFT) processor for use in th...

In this paper, a novel data scaling method for pipelined FFT processors is proposed. By using data scaling, the' FFT processor can operate on a wide range of input signals without performance loss. Compared to existing block scaling methods, like implementations of Convergent Block Floating Point (CBFP), the memory requirements can be reduced while preserving the SNR. The FFT processor has been...

Fast Fourier transform (FFT)-based computations can be far more accurate than the slow transforms suggest. Discrete Fourier transforms computed through the FFT are far more accurate than slow transforms, and convolutions computed via FFT are far more accurate than the direct results. However, these results depend critically on the accuracy of the FFT software employed, which should generally be...

in this work, a novel electrochemical technique is presented for determination of bentazonusing a nanocomposite based sensor and continuous coulometric fast fourier transformation cyclicvoltammetry (ccfftcv). in this method, the sensor response is in coulomb and is calculated based onintegrating charge changes under the current voltammogram in selected potential range. the new sensor wasconstru...

Fast Fourier Transform (FFT) is a fundamental operation for 2D data in various applications. To accelerate large-scale 2D-FFT computation, we propose Heterogeneous parallel In-place algorithm, HI-FFT. Our novel work decomposition method makes it possible to run our algorithm on the original (i.e., in-place), unlike prior algorithms that require additional memory space out-of-place) guarantee in...

In this paper, how to parallelize the Pre-corrected FFT algorithm for solving the scattering problem of large scale is presented and discussed. The P-FFT technique developed by our group earlier was extended in the current analysis. To show the efficiency of the MPI-based parallelization algorithm, the experiment results are given in the latter part of the paper and various comparisons are made...