A radix-16 fast Fourier transform (FFT) algorithm suitable for multiply-add instruction is proposed. The proposed radix-16 FFT algorithm requires fewer floating-point instructions than the conventional radix-16 FFT algorithm on processors that have a multiplyadd instruction. Moreover, this algorithm has the advantage of fewer loads and stores than either the radix-2, 4 and 8 FFT algorithms or t...

Spectrum analysis is very essential requirement in instrumentation and communication signal interception .Spectrum analysis is normally carried out by online or offline FFT processing. But the FFT being highly mathematical intensive, is not suitable for low area and low power applications. Offline FFT processing can’t give the real time spectrum estimation which is essential in communication si...

The inverse transform reverses the process, converting frequency data into time-domain data. Such transformations can be applied in a wide variety of fields, from geophysics to astronomy, from the analysis of sound signals to CO 2 concentrations in the atmosphere. Over the course of three articles, our goal is to provide a convenient summary that the experimental practitioner will find useful. ...

In recent years, local graph clustering techniques have been utilized as devices to unveil the structured hidden of large networks. With the ever growing size of the data sets generated in domains of applications as diverse as biomedicine and natural language processing, time-efficiency has become a problem of growing importance. We address the improvement of the runtime of local graph clusteri...

Driving while fatigued is just as dangerous as drunk driving and may result in car accidents. Heart rate variability (HRV) analysis has been studied recently for the detection of driver drowsiness. However, the detection reliability has been lower than anticipated, because the HRV signals of drivers were always regarded as stationary signals. The wavelet transform method is a method for analyzi...

OBJECTIVE To investigate the effects of frontal facial type (FFT) and sex on preferred chin projection (CP) in three-dimensional (3D) facial images. METHODS Six 3D facial images were acquired using a 3D facial scanner (euryprosopic [Eury-FFT], mesoprosopic [Meso-FFT], and leptoprosopic [Lepto-FFT] for each sex). After normal CP in each 3D facial image was set to 10° of the facial profile angl...

This paper makes a survey of the numerous analysis methods proposed in order to extract the frequency, amplitude, and phase of sinusoidal components from stationary sounds, which is of great interest for spectral modeling, digital audio effects, or pitch tracking for instance. We consider different methods that improve the frequency resolution of a plain FFT. We compare the accuracies in freque...

The FFT processor is a critical block in all multi-carrier systems used primarily in the mobile environment. The portability requirement of these systems is mainly responsible for the need of low power FFT architectures. In this study, an efficient addressing scheme for radix-4 64 point FFT processor is presented. It avoids the modulo-r addition in the address generation; hence, the critical pa...

9 www.alliedjournals.com  Abstract— Power quality is a very important issue. Non-linear loads and semi-conductor devices connected to AC electric mains generate unwanted signals (harmonics) in the dynamics of current which are responsible for additional power losses in heat loss and the risk of equipment damage or malfunctioning. In the simulink model of shunt active filter fuzzy logic control...

An automated sleep stage classification system relying only on the frequency analysis of the EEG signal is developed and analyzed in this paper. The classification system consists of the feature extraction algorithm and a neural network classifier. We investigate two different feature extraction methods: a classical FFT frequency analysis and a novel LMS based feature extraction. The same two-l...