The terms Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT) are used to denote efficient and fast algorithms to compute the Discrete Fourier Transform (DFT) and the Inverse Discrete Fourier Transform (IDFT) respectively. The FFT/IFFT is widely used in many digital signal processing applications and the efficient implementation of the FFT/IFFT is a topic of continuous research.

1 Details on Affinity Function Computations 2 1.1 Shape Complementarity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.1.1 Skin-core Definition and Weighting . . . . . . . . . . . . . . . . . . . . . . . . 2 1.1.2 FFT based formulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2 Electrostatics (E). . . . . . . . . . . . . . . . . . . . . . . . . . ...

Pipeline FFT processors are used in mobile communication systems and in particular in OFDM-based systems. This paper presents a method for power analysis and clock optimization of pipeline FFT processors for particular OFDM baseband system. This method is applied to various architectures with different radices. The analysis can be used in the design of high speed pipeline FFT processors.

Multiprocessor platforms have been proposed as an enabling technology for Cognitive Radio. In this paper, we explore various FFT implementations on a multiprocessor prototype platform as building components for OFDM based Cognitive Radio. The results show that our FFT implementations on the multiprocessor platform are fast and energy efficient. Moreover, the FFT implementations can be dynamical...

We show that the polar as well as the pseudo-polar FFT can be computed very accurately and efficiently by the well known nonequispaced FFT. Furthermore, we discuss the reconstruction of a 2d signal from its Fourier transform samples on a (pseudo-)polar grid by means of the inverse nonequispaced FFT.

We present a novel pipelined Fast Fourier Transform (FFT) architecture which is capable of producing the output sequence in normal order. The Fast Fourier Transform (FFT) is periodically employed in the algorithms of signal processing for the applications of Orthogonal Frequency Division Multiplexing (OFDM). In this paper, a new pipelined 32 point Mixed Single-path Delay FeedbackMulti-path Dela...

The Radix-4 Fast Fourier Transform (FFT) is widely accepted for signal processing applications in wireless communication system. Here, we present a new Radix-4 FFT which reduces the operational count by 6% lesser than standard Radix-4 FFT without losing any arithmetic accuracy. Simulation results are also given for the verification of the algorithm.

Treatment outcomes for adolescent substance abuse at 4– and 7–month assessments. QUESTION: Does cognitive behavioural therapy (CBT), functional family therapy (FFT), combined FFT and CBT, or a group psychoeducational intervention reduce adolescent substance abuse? Design Randomised (unclear allocation concealment*), unblinded*, controlled trial with 7 months of follow up. Patients 120 adolescen...

In this paper BP neural network is used for signal processing of automobile millimeter wave radar instead of FFT(Fast Fourier Transform). Simulation results show that BP neural network is superior to FFT. FFT has the drawback such as large computation and frequency spectrum leakage. The BP neural network has three layers(one input layer, one hidden layer, one output layer).The network is traine...

We present an out-of-core FFT algorithm based on the in-core FFT method developed by Swarztrauber. Our algorithm uses a recursive divide-and-conquer strategy, and each stage in the recursion presents several possibilities for how to split the problem into subproblems. We give a recurrence for the algorithm's I/O complexity on the Parallel Disk Model and show how to use dynamic programming to de...