Envelope Detection (ED) is traditionally always used with Fast Fourier Transform (FFT) to identify the rolling element bearing faults. The inability of FFT to detect non-stationary signals makes Wavelet Analysis (WA) an alternative for machinery fault diagnosis as WA can detect both stationary and non-stationery signals. A comparative study of ED with FFT and WA techniques for bearing fault dia...

1. Mrs.Veena M.B. Dr.M.N.ShanmukhaSwamy,“Performance analysis of DWT based OFDM over FFT based OFDM and implementing on FPGA” International Journal of VLSI design & Communication Systems (VLSICS) Vol.2, No.3, September 2011. 2. Deepak Gupta, Vipin B Vats, Kamal K. Garg, “Performance Analysis of DFT-OFDM, DCT-OFDM, and DWT-OFDM Systems in AWGN Channel” International Conference on Wireless and Mo...

In this correspondence the analysis of overall quantization loss for the Fast Fourier Transform (FFT) algorithms is extended to the case where the twiddle factor word length is different from the register word length. First, a statistical noise model to predict the Quantization error after the multiplication of two quantized signals, of different precision, is presented. This model is then appl...

The purpose of this study was to characterize time-frequency behavior using the Continuous Wavelet Transform (CWT) and Fast Fourier Transform (FFT) to analyze ventricular and arterial pressure signals from anesthetized mongrel dogs. Both ventricular and arterial pressure pulsations were recorded using catheter-tip manometers and the CWT was applied to these signals to obtain module coefficients...

Background: Multisystemic Therapy (MST) and Functional Family (FFT) are evidence-based Blueprint programs shown to be effective towards youth problem behaviors. Purpose: The present study aimed investigate treatment outcomes following MST FFT among Norwegian youths with serious behavior problems. Research design: Routine Outcome Monitoring (ROM) data of the Youth Level Service/Case Management I...

Fingerprint applications are widely used to identify person’s authenticity. It is an important part of Biometric system which is widely accepted because of its accuracy. The frequency domain analysis of fingerprint plays an important role for authentication of noisy fingerprint images. In our project we proposed a new technique to extract features of fingerprint image for perfect matching. The ...

The complex-logarithmic number system (CLNS), which represents each complex point in log/polar coordinates, may be practical to implement the Fast Fourier Transform (FFT). The roots of unity needed by the FFT have exact representations in CLNS and do not require a ROM. We present an error analysis and simulation results for a radix-two FFT that compares a rectangular xed-point representation of...

The Fast Fourier Transform (FFT) technique has long been used for spectral analysis but it has not been fully exploited for data compression purposes. This paper presents the concept for compressing telemetry data using the FFT in such a manner that the time domain waveform can be recovered. The sampled time-domain data is transformed into the frequency-domain data and only the significant comp...

PURPOSE To quantify and compare phase retardation amplitude and regularity associated with the Henle fiber layer (HFL) between nonexudative AMD patients and age-matched controls using scanning laser polarimetry (SLP) imaging. METHODS A scanning laser polarimeter was used to collect 15 × 15° macular-centered images in 25 patients with nonexudative AMD and 25 age-matched controls. Raw image dat...

A large family of signal processing techniques consist of Fourier-transforming a signal, manipulating the Fourier-transformed data in a simple way, and reversing the transformation. We widely use Fourier frequency analysis in equalization of audio recordings, X-ray crystallography, artefact removal in Neurological signal and image processing, Voice Activity Detection in Brain stem speech evoked...