The harsh and hostile internal environment of semi-autogenous (SAG) mills renders real-time monitoring some critical variables practically unmeasured. Typically, feed size fractions are known to cause mill fluctuations impede the consistent processing behaviour ores. There is, therefore, need for continuous parameters optimal operation. In this paper, an acoustic-based sensing method is employe...

AbsrroctMulti-channel recording of electroencephalogram (EEG) provides a measure of spatial-temporal pattern of cognitive processes. When oscillatory activities are going to he studied, the limcdomain EEG signal can be analyzed Yia Fourier or wavelet transform. However the loss of temporal information after Fourier transform and the nnavailahility of phase information in wavelet transform limit...

Complex wavelet Packet modulation CWPM system has gained special interest as compared with traditional WPM due to its positive features like shift insensitivity, good directionality, and presence of phase information. The objective of this paper is to design a baseband π/4-DQPSK CWPM transceiver and implementing it on FPGA hardware. The design uses 8point Discrete Wavelet Packet Transform DWPT/...

This article proposes the use of time-ordered non-decimated wavelet or nondecimated wavelet packet transforms to provide flexible representations of a time series (explanatory). The resulting representations are then used as variables in a statistical model to provide predictions of another (response) time series. The statistical model provides valuable information about which components in the...

Personalized medicine is a hot topic to develop a medical procedure for healthcare. Motivated by molecular dynamics simulation-based personalized medicine, we propose a novel numerical simulation-based personalized diagnosis methodology and explain the fundamental procedures. As an example, a personalized fault diagnosis method is developed using the finite element method (FEM), wavelet packet ...

The quadratic-phase Fourier transform (QPFT) has gained much popularity in recent years because of its applications image and signal processing. However, the QPFT is inadequate for localizing spectrum, which required some applications. In this paper, wave packet (QP-WPT) proposed to address problem, based on (WPT) QPFT. Firstly, we propose definition QP-WPT give relation with windowed (WFT). Se...

This paper explains a study conducted based on wavelet based transform techniques. We have used discrete wavelet transform and wavelet packet decomposition. The database is created by using Malayalam (one of the south Indian Languages) language spoken words. Daubechies type of mother wavelet was used for the experiment. Six hundred and forty samples are collected, for the experiment. The featur...

ECG Arrhythmia Classification Based on Wavelet Packet Transform and Sparse Non-Negative Matrix Factorization

In this paper, a robust digital image watermarking approach using adaptive quantization of wavelet packet coefficients was proposed. The original image is decomposed by discrete wavelet packet transform and the dominant wavelet coefficients are selected for watermark embedding from each sub-band except the lowest frequency one. Then, each watermark bit is adaptively embedded with different stre...