Temat: DWT - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Struktury algorytmiczne jednostek procesorowych do realizacji bazowych operacji dyskretnej transformaty falkowej
Algorithmic structures of processing units for IDWT basic operations implementation
Autorzy:: Tariova, G.
Tariov, A.
Tematy:: dyskretna transformata falkowa DWT
szybkie algorytmy
procesory DWT
discrete wavelet transform
fast algorithms
DWT processors; Pokaż więcej
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Powiązania:: https://bibliotekanauki.pl/articles/155660.pdf Link otwiera się w nowym oknie
Opis:: W pracy zostało przedstawione podejście do zoptymalizowanej organizacji struktur algorytmicznych jednostek obliczeniowych dla realizacji bazowych operacji FDWT/IDWT ze zredukowaną liczbą mnożeń (lub układów mnożących w przypadku implementacji sprzętowej). Podejście to pozwala zmniejszyć nakłady obliczeniowe, zapotrzebowanie na zasoby sprzętowe oraz stworzyć dogodne warunki do efektywnej realizacji metod falkowego przetwarzania danych w układzie reprogramowalnym.
This paper is concerned with the novel algorithmic structures for the realization of FDWT and IDWT basic procedures with the reduced number of arithmetic operations. As to well-known approaches, the immediate implementation of the above procedures requires 2L multipliers both for the DWT and IDWT basic procedures plus 2(L-1) adders for DWT and L adders for IDWT. At the same time, proposed algorithms require only 11oL multipliers for the both procedures plus 2L-1 adders for FDWT and L+1 adders for IDWT basic procedures. The proposed structures can be successfully applied to accelerate calculations in the FPGA-based platforms as well as to enhance the efficiency of hardware in general.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: VME-DWT : an efficient algorithm for detection and elimination of eye blink from short segments of single EEG channel
Autorzy:: Shahbakhti, Mohammad
Augustyniak, Piotr
Nazari, Mojtaba
Wierzchoń, Michał
Beiramvand, Matin
Marozas, Vaidotas
Broniec-Wójcik, Anna
Rodrigues, Ana Santos
Opis:: Objective: Recent advances in development of low-cost single-channel electroencephalography (EEG) headbands have opened new possibilities for applications in health monitoring and brain-computer interface (BCI) systems. These recorded EEG signals, however, are often contaminated by eye blink artifacts that can yield the fallacious interpretation of the brain activity. This paper proposes an efficient algorithm, VME-DWT, to remove eye blinks in a short segment of the single EEG channel. Method: The proposed algorithm: (a) locates eye blink intervals using Variational Mode Extraction (VME) and (b) filters only contaminated EEG interval using an automatic Discrete Wavelet Transform (DWT) algorithm. The performance of VME-DWT is compared with an automatic Variational Mode Decomposition (AVMD) and a DWT-based algorithms, proposed for suppressing eye blinks in a short segment of the single EEG channel. Results: The VME-DWT detects and filters 95% of the eye blinks from the contaminated EEG signals with SNR ranging from −8 to +3 dB. The VME-DWT shows superiority to the AVMD and DWT with the higher mean value of correlation coefficient (0.92 vs. 0.83, 0.58) and lower mean value of RRMSE (0.42 vs. 0.59, 0.87). Significance: The VME-DWT can be a suitable algorithm for removal of eye blinks in low-cost single-channel EEG systems as it is: (a) computationally-efficient, the contaminated EEG signal is filtered in millisecond time resolution, (b) automatic, no human intervention is required, (c) low-invasive, EEG intervals without contamination remained unaltered, and (d) low-complexity, without need to the artifact reference.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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Skocz do pozycji: 3.

Tytuł:: Wavelet analysis of the EMG signal to assess muscle fatigue in the lower extremities during symmetric movement on a rowing ergometer
Autorzy:: Daniel, Natalia
Małachowski, Jerzy
Tematy:: DWT
fatigue
EMG
MNF
MDF
rowing ergometers; Pokaż więcej
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:: https://bibliotekanauki.pl/articles/55622205.pdf Link otwiera się w nowym oknie
Opis:: The aim of this publication was to propose a method to determine changes in fatigue in selected muscle groups of the lower extremity during dynamic and cyclical motion performed on a rowing ergometer. The study aimed to use the discrete wavelet transform (DWT) to analyze electromyographic signals (EMG) recorded during diagnostic assessment of muscle and peripheral nerve electrical activity (electroneurography) using an electromyography device (EMG). Methods: The analysis involved implementing calculations such as mean frequency (MNF) and median frequency (MDF) using the reconstructed EMG signal through DWT. The study examined the efficacy of DWT analysis in assessing muscle fatigue after physical exertion. Results: The study obtained a negative regression coefficient for DWT analysis in all muscles except for the right gastrocnemius (GAS). The results suggest that DWT analysis can be an effective tool for evaluating muscle fatigue after physical exertion. Conclusions: The use of DWT in the analysis of EMG signals during rowing ergometer exercises has shown promising results in assessing muscle fatigue. However, additional investigations are necessary to confirm and expand these findings. This publication addresses the literature gap on the determination of muscle fatigue considering motion analysis on a rowing ergometer using the discrete wavelet transform. Previous studies have extensively compared and analyzed methods such as the Fourier transform (FFT), short-time Fourier transform (STFT), and wavelet transform (WT) for muscle fatigue analysis. However, no previous work has specifically examined the assessment of muscle fatigue by incorporating DWT analysis with motion analysis on a rowing ergometer.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Security issues on digital watermarking algorithms
Autorzy:: Wójtowicz, W.
Ogiela, M. R.
Tematy:: digital watermarking
security
steganography
Discrete Wavelet Transform
DWT; Pokaż więcej
Wydawca:: Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Powiązania:: https://bibliotekanauki.pl/articles/106206.pdf Link otwiera się w nowym oknie
Opis:: This paper gives a general introduction to the digital watermarking procedures and their security aspects. The first issue is to clarify unifying and differentiating properties of steganography and watermarking. Then the most important aspects of digital watermarking are reviewed by studying application, requirement and design problems. We put emphasis on the importance of digital watermark as an effective technology to protect intellectual property rights and legitimate use of digital images. In the paper we provide an overview of the most popular digital watermarking methods for still images available today. The watermarking algorithms are divided into two major categories of spatial and transform domains. Because of outstanding robustness and imperceptibility the transform domain algorithms are the mainstream of research. Popular transforms of images include the DFT (Discrete Fourier Transform) ([1, 2, 3, 4, 5]), DCT (Discrete Cosine Transform) ([1, 3, 6, 5]) and DWT (Discrete Wavelet Transform) ([1, 3, 4, 7, 6, 5]). In the paper we emphasize the advantageous features of DWT such as local time-frequency and multi-scale analysis, preserving the quality of host image and ensuring high robustness of watermark. Finally, we present three algorithms which are based on the combination of DWT and some other transformations like DFT ([4]), DCT ([6]) and the Arnold transform ([7, 6]). Finally, we discuss security requirements and possible attacks on the watermarking systems.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Comparative Study of Visual Feature for Bimodal Hindi Speech Recognition
Autorzy:: Upadhyaya, P.
Farooq, O.
Abidi, M. R.
Varshney, P.
Tematy:: Aligarh Muslim University audio visual corpus
AVASR
bimodal
DCT
DWT; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/177705.pdf Link otwiera się w nowym oknie
Opis:: In building speech recognition based applications, robustness to different noisy background condition is an important challenge. In this paper bimodal approach is proposed to improve the robustness of Hindi speech recognition system. Also an importance of different types of visual features is studied for audio visual automatic speech recognition (AVASR) system under diverse noisy audio conditions. Four sets of visual feature based on Two-Dimensional Discrete Cosine Transform feature (2D-DCT), Principal Component Analysis (PCA), Two-Dimensional Discrete Wavelet Transform followed by DCT (2D-DWT-DCT) and Two-Dimensional Discrete Wavelet Transform followed by PCA (2D-DWT-PCA) are reported. The audio features are extracted using Mel Frequency Cepstral coefficients (MFCC) followed by static and dynamic feature. Overall, 48 features, i.e. 39 audio features and 9 visual features are used for measuring the performance of the AVASR system. Also, the performance of the AVASR using noisy speech signal generated by using NOISEX database is evaluated for different Signal to Noise ratio (SNR: 30 dB to -10 dB) using Aligarh Muslim University Audio Visual (AMUAV) Hindi corpus. AMUAV corpus is Hindi continuous speech high quality audio visual databases of Hindi sentences spoken by different subjects.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Wykorzystanie transformaty Fouriera oraz transformaty falkowej do analizy przebiegów odkształconych
Fourier Transform and Wavelet Transform used for the analysis of waveforms distortion
Autorzy:: Bartman, Jacek
Sobczyński, Dariusz
Tematy:: przebiegi odkształcone
FFT
DWT
widmo
falka
distorted waveforms
spectrum
wavelet; Pokaż więcej
Wydawca:: Wyższa Szkoła Biznesu i Przedsiębiorczości w Ostrowcu Świętokrzyskim
Powiązania:: https://bibliotekanauki.pl/articles/550657.pdf Link otwiera się w nowym oknie
Opis:: Praca poświęcona jest zagadnieniu analizy elektrycznych przebiegów odkształconych. Przedstawiono w niej podstawy analiz częstotliwościowych bazujących na Dyskretnej Transformacie Fouriera (DFT) oraz analiz czasowo-częstotliwściowych realizowanych z wykorzystaniem Dyskretnej Transformaty Falkowej (DWT). W końcowej części pracy pokazano wykorzystanie obu metod do analizy prądu odkształconego pobieranego przez obrabiarkę numeryczną.
The work is devoted to the problem of analysis of electric waveforms distortion. It presents the basis for frequency-based analysis using on Discrete Fourier Transform (DFT) and time-frequency analysis using Discrete Wavelet Transform (DWT).The final part of the paper presents the use of both methods for the analysis of current distortion by a machine CNC.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: CNN and LSTM for the classification of parkinsons disease based on the GTCC and MFCC
Autorzy:: Boualoulou, Nouhaila
Drissi, Taoufiq Belhoussine
Nsiri, Benayad
Tematy:: Parkinson's disease
voice signal
GTCC
MFCC
DWT
EMD
CNN and LSTM; Pokaż więcej
Wydawca:: Polskie Towarzystwo Promocji Wiedzy
Powiązania:: https://bibliotekanauki.pl/articles/30148250.pdf Link otwiera się w nowym oknie
Opis:: Parkinson's disease is a recognizable clinical syndrome with a variety of causes and clinical presentations; it represents a rapidly growing neurodegenerative disorder. Since about 90 percent of Parkinson's disease sufferers have some form of early speech impairment, recent studies on tele diagnosis of Parkinson's disease have focused on the recognition of voice impairments from vowel phonations or the subjects' discourse. This paper presents a new approach for Parkinson's disease detection from speech sounds that are based on CNN and LSTM and uses two categories of characteristics. These are Mel Frequency Cepstral Coefficients (MFCC) and Gammatone Cepstral Coefficients (GTCC) obtained from noise-removed speech signals with comparative EMD-DWT and DWT-EMD analysis. The proposed model is divided into three stages. In the first step, noise is removed from the signals using the EMD-DWT and DWT-EMD methods. In the second step, the GTCC and MFCC are extracted from the enhanced audio signals. The classification process is carried out in the third step by feeding these features into the LSTM and CNN models, which are designed to define sequential information from the extracted features. The experiments are performed using PC-GITA and Sakar datasets and 10-fold cross validation method, the highest classification accuracy for the Sakar dataset reached 100% for both EMD-DWT-GTCC-CNN and DWT-EMD-GTCC-CNN, and for the PC-GITA dataset, the accuracy is reached 100% for EMD-DWT-GTCC-CNN and 96.55% for DWT-EMD-GTCC-CNN. The results of this study indicate that the characteristics of GTCC are more appropriate and accurate for the assessment of PD than MFCC.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Biometric watermarking for security enhancement in digital images
Autorzy:: Wójtowicz, W.
Tematy:: images security
watermarking technique
discrete wavelet transform (DWT)
biometrics
principal component analysis (PCA); Pokaż więcej
Wydawca:: Fundacja na Rzecz Młodych Naukowców
Powiązania:: https://bibliotekanauki.pl/articles/115437.pdf Link otwiera się w nowym oknie
Opis:: In this paper some preliminary investigation on combination of watermarking technique with biometric data to increase security of digital images in case of medical images is proposed. Performance of watermarking algorithm, based on discrete wavelet transform (DWT) decomposition, that incorporates biometric watermark is elaborated. The frequency domain were chosen as it is proven, that this domain provides better robustness against attacks and leads to less perceptibility of an embedded watermark. To assure confidentiality of patient data their hand geometry features are embedded instead of patient’s name. Proposed system is evaluated by measuring the similarity between embedded and extracted biometric codes.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Vibration-based cavitation detection in centrifugal pumps
Autorzy:: Hajnayeb, A.
Azizi, R.
Ghanbarzadeh, A.
Changizian, M.
Tematy:: cavitation severity
centrifugal pump
vibration analysis
EEMD
EMD
DWT
kawitacja
pompa odśrodkowa
analiza drgań; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Powiązania:: https://bibliotekanauki.pl/articles/329512.pdf Link otwiera się w nowym oknie
Opis:: Cavitation is a common cause of failure in centrifugal pumps. Because of interaction of several mechanical parts and fluid, the vibration signal of a centrifugal pump is complicated. In this paper, the vibrations of a transparent-casing centrifugal pump are studied. Three states are studied experimentally: no cavitation, limited cavitation and developed cavitation. Each case was also confirmed by visually inspecting the cavitation bubbles. The vibrations of the pump was acquired by using an accelerometer that was attached to the casing. Discrete wavelet transform (DWT) analysis and empirical mode decomposition (EMD) are used to extract classification features from the acquired signals. Using these features, an artificial neural network (ANN) successfully diagnosed the cavitation condition of the pump. Finally, EEMD is also implemented. The results showed the success of EMD and DWT in cavitation diagnosis. The output of EEMD does not show significant change comparing to EMD.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Analysis of ratios of propulsion energy demand for transport by bulk carriers
Autorzy:: Polanowski, Stanisław
Tematy:: bulk carriers
transport
ratio of energy consumption
Nautical Mile
Nautical Mail
one ton of DWT; Pokaż więcej
Wydawca:: Instytut Techniczny Wojsk Lotniczych
Powiązania:: https://bibliotekanauki.pl/articles/244225.pdf Link otwiera się w nowym oknie
Opis:: The article presents the results of calculations and analysis of the eM ratio of the propulsion energy consumption per the nautical mile and the eMt ratio of the propulsion energy demand for the transport of 1-ton cargo per the nautical mile for bulk carriers. The relationship between eM and eMt indicators with the EIV (Estimated Index Value) ratio is shown. The output data for the determination of eM and eMt indicators was taken from the quoted MAN publication, reading (reproducing) the values of power, velocity v and DWT tonnage from the charts included in this publication. Calculations and analyses were made for velocity v between 11-15 knots and for DWT from 5-400 kt (kilo tonnes). The graphs of eM and eMt ratios in the function of speed v and load capacity DWT are presented. Using the stepwise method of least squares, models of statistical dependence of indicators on velocity v and load capacity of bulk carriers were developed. They were based on generalized polynomials with integer exponents. Derivatives deM / dv and deMt / dv and derivatives deM / dDWT and deMt / dDWT were determined. The main observations resulting from the conducted analyses are observed with the increase of DWT (within the range of 80-100 kt) a significant decrease in the value of the eM index. For DWT values> 100 kt, the decrease in eMt is slow − eMt asymptotically tends to a constant value. The results of the analyses carried out can be used at the stage of designing the transport capacity (tonnage) and nominal speed of the ship as well as selection of ship tonnage and travel speed in a given transport situation.
Dostawca treści:: Biblioteka Nauki

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