Gearbox is a very complex mechanical system that can generate vibrations from its various elements such as gears, shafts, and bearings. Transmission path effect, signal coupling, and noise contamination can further induce difficulties to the development of diagnostic system for a gearbox. This paper introduces a novel information reconstruction approach to clustering and diagnosis of gearbox si...

In this paper, a novel Frequency-Domain Independent Component Analysis (ICA-F) approach is proposed to blindly separate and deconvolve the convolutive combinations of digitally modulated signals in wireless communications. This approach relies on the simple observation that if signals are independent in one domain, their corresponding components in a linearly transformed domain are also indepen...

The state-of-the-art automotive radars employ multidimensional discrete Fourier transforms (DFT) in order to estimate various target parameters. The DFT is implemented using the fast Fourier transform (FFT), at sample and computational complexity of O(N) and O(N logN), respectively, where N is the number of samples in the signal space. We have recently proposed a sparse Fourier transform based ...

The jamming analysis transmission selection (JATS) sub-system is used in radar systems to detect and avoid the jammed frequencies available operating bandwidth during signal reception. time measure desired frequency spectrum select non-jammed for very limited. A novel fast (FAT) technique that measures channel spectrum, detects sub-band selects system real proposed. JATS has been designed, simu...

with the advent of new technology in the fields of VLSI and communication, there is also an ever growing demand for high speed processing and low area design. It is also a well-known fact that the chip area and maximum combinational path delay (MCPD) unit forms an integral part of processor design. Due to this regard, high speed and low area architectures become the need of the day. A fast Four...

Three adaptive line enhancer (ALE) algorithms and architectures--namely, conventional ALE, ALE with double filtering, and ALE with coherent accumulation-axe investigated for fast carrier acquisition in the time domain. The advantages of these algorithms axe their simplicity, flexibility, robustness, and applicability to general situations including the Earth-to-space uplink carrier acquisition ...

the use of neural networks methodology is not as common in the investigation and pre-diction noise as statistical analysis. the application of artificial neural networks for pre-diction of power tiller noise is set out in the present paper. the sound pressure signals for noise analysis were obtained in a field experiment using a 13-hp power tiller. during measurement and recording of the sound ...

he Fast Fourier Transform (FFT) algorithm has been used in a variety of applications in signal and image T processing [1-51. In this article, a simple procedure for designing Finite-extent Impulse Response (FIR) discretetime filters using the FFT algorithm is described. The zerophase (or linear phase) FIR filter design problem is formulated here to altemately satisfy the frequency domain constr...

Autoencoders (AE) are essential in learning representation of large data (like images) for dimensionality reduction. Images are converted to sparse domain using transforms like Fast Fourier Transform (FFT) or Discrete Cosine Transform (DCT) where information that requires encoding is minimal. By optimally selecting the feature-rich frequencies, we are able to learn the latent vectors more robus...

The goal of this Matlab exercise is to design an A-weighted sound level meter. Although previous years have utilized multirate filtering to reduce the computational overhead, this write-up will focus on a more direct implementation using the Fast Fourier Transform (FFT). Using the Data Acquisition Toolbox in Matlab, I have implemented a basic A-weighted sound level meter. This implementation al...