This paper presents a study to identify the type and location of yarn periodical errors applying three different signal processing approaches based on FFT – Fast Fourier Transform, FWHT-Fast Walsh-Hadamard Transform and FDFI – Fast Impulse Frequency Determination. The errors determination is applied for the mass measurement of yarn using a capacitive sensor and for the measurement of yarn diame...

In order to design and implement a wave compensation system to reduce the relative motion between two side-by-side ships in waves, a new method to process measured data of ship model test with contact measurement to study the characteristics of relative motion was presented. The reference coordinate systems and relative motions were defined, and the scheme of the model test was described. Then ...

In this paper, we propose advanced leaf recognition based on leaf contour and centroid for plant classification. Further, frequency domain data was used by performing Fast Fourier transform (FFT) in order to have advanced leaf recognition. Twenty leaf features were extracted for leaf recognition. To verify the validity of the approach, images of 1907 leaves were used to classify 32 kinds of pla...

harmonics have become an important issue in modern power systems. the widespread penetration of non-linear loads to emerging power systems has turned power quality analysis into an important operation issue under both steady state and transient conditions. this paper employs an extended harmonic domain (ehd) based framework for dynamic analysis of long term analysis over voltages during the tra...

In high sampling-frequency operation of active noise control (ANC) system the length of the secondary path estimate and the ANC filter are very long. This increases the computational complexity of the conventional filtered-x least mean square (FXLMS) algorithm. To reduce the computational complexity of long order ANC system using FXLMS algorithm, frequency domain block ANC algorithms have been ...

A 3-D spatiotemporal prediction-error filter (PEF), is used to enhance foreground/background contrast in (real and simulated) sensor image sequences. Relative velocity is utilized to extract point-targets that would otherwise be indistinguishable on spatial frequency alone. An optical-flow field is generated using local estimates of the 3-D autocorrelation function via the application of the fa...

seismic attribute is a quantitative measure of an interested seismic characteristic. there are several seismic attributes. in recent years, time-frequency (tf) attributes have been developed which to reach them, tf analyzing of seismic data is required. a high resolution tf representation (tfr) can yield more accurate tf attributes. there are several tfr methods including short-time fourier tra...

In this contribution we analyzed and compared the bit error rate performance for MC-CDMA (multicarrier codedivision multiple access) systems using IFFT/FFT (inverse fast Fourier transform/fast Fourier transform) and conventional correlation receiver over a frequency selective Rayleigh fading channel. Carrier frequency offset is considered in the analysis with either equal gain combining or maxi...

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...

Automatic detection of neurological disordered subjects voice mostly relies on parameters extracted from time-domain processing. The calculation of these parameters often requires prior pitch period estimation; which in turn depends heavily on the robustness of pitch detection algorithm. In the present work cepstraldomain processing technique which does not require pitch estimation has been ado...