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Academic literature on the topic 'DWT'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "DWT"

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Dabou, Raoult Teukam, Innocent Kamwa, Jacques Tagoudjeu, and Francis Chuma Mugombozi. "Sparse Signal Reconstruction on Fixed and Adaptive Supervised Dictionary Learning for Transient Stability Assessment." Energies 14, no. 23 (November 30, 2021): 7995. http://dx.doi.org/10.3390/en14237995.

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Fixed and adaptive supervised dictionary learning (SDL) is proposed in this paper for wide-area stability assessment. Single and hybrid fixed structures are developed based on impulse dictionary (ID), discrete Haar transform (DHT), discrete cosine transform (DCT), discrete sine transform (DST), and discrete wavelet transform (DWT) for sparse features extraction and online transient stability prediction. The fixed structures performance is compared with that obtained from transient K-singular value decomposition (TK-SVD) implemented while adding a stability status term to the optimization problem. Stable and unstable dictionary learning are designed based on datasets recorded by simulating thousands of contingencies with varying faults, load, and generator switching on the IEEE 68-bus test system. This separate supervised learning of stable and unstable scenarios allows determining root mean square error (RMSE), useful for online stability status assessment of new scenarios. With respect to the RMSE performance metric in signal reconstruction-based stability prediction, the present analysis demonstrates that [DWT], [DHT|DWT] and [DST|DHT|DCT] are better stability descriptors compared to K-SVD, [DHT], [DCT], [DCT|DWT], [DHT|DCT], [ID|DCT|DST], and [DWT|DHT|DCT] on test datasets. However, the K-SVD approach is faster to execute in both off-line training and real-time playback while yielding satisfactory accuracy in transient stability prediction (i.e., 7.5-cycles decision window after fault-clearing).
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Amhar, Fahmi, Endang Purnama Giri, Florence Elfriede Sinthauli Silalahi, Shelvie Nidya Neyman, Anggrahito, Dadan Ramdani, Danang Jaya, et al. "Ownership Protection on Digital Elevation Model (DEM) Using Transform-Based Watermarking." ISPRS International Journal of Geo-Information 11, no. 3 (March 16, 2022): 200. http://dx.doi.org/10.3390/ijgi11030200.

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This research aims to protect Digital Elevation Model (DEM) data from piracy or counterfeiting. An invisible watermark inserted into the data, which will not considerably change the data value, is necessary. The proposed method involves the use of the two-dimensional discrete cosine transform (2D DCT), a combination of 2D DCT and discrete wavelet transform (DWT), and two-dimensional discrete Fourier transform (2D DFT) in the frequency domain. The data used include a National DEM file downloaded from the geoportal of the Geospatial Information Agency (Badan Informasi Geospasial—BIG). Three files represent mountainous, lowland/urban, and coastal areas. An “attack” is also conducted on the watermarked DEM by cropping. The results indicate that the watermarked DEM is well recognized. The watermark can be read 100% for 2D DCT, while that for 2D DFT can be read 90.50%. The distortion value of the elevation data under the DCT technique demonstrates the smallest maximum value of 0.1 m compared with 4.5 and 1.1 m for 2D DFT and 2D DCT–DWT. Meanwhile, the height difference (Max Delta), the peak signal-to-noise ratio, and the root mean squared error (RMSE) are highest in mountainous, lowland, and coastal areas, respectively. Overall, the 2D DCT is also superior to the 2D DFT and the2D DCT–DWT. Although only one can recognize the nine watermarks inserted on each sheet, DEMs attacked by the cropping process can still be identified. However, this finding can sufficiently confirm that DEMs belong to BIG.
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Sujith, K. Satya. "High performance DA-based DCT, DWT and DHT." IOSR Journal of Applied Chemistry 5, no. 6 (2013): 64–70. http://dx.doi.org/10.9790/5736-0566470.

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Sujith, K. Satya. "High performance DA-based DCT, DWT and DHT." IOSR Journal of Electronics and Communication Engineering 8, no. 5 (2013): 52–58. http://dx.doi.org/10.9790/2834-0855258.

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Mousa Al-Khuzaay, Maryam I., and Waleed A. Mahmoud Al-Jawher. "New Proposed Mixed Transforms: CAW and FAW and Their Application in Medical Image Classification." International Journal of Innovative Computing 13, no. 1-2 (September 13, 2023): 15–21. http://dx.doi.org/10.11113/ijic.v13n1-2.414.

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The transformation model plays a vital role in medical image processing. This paper proposed new two Mixed Transforms models that are the hybrid combination of linear and nonlinear Transformations techniques. The first mixed transform is computed in three steps: calculate 2D discrete cosine transform (DCT) of the image, and applying Arnold Transform (AT) on the DCT coefficients, and applying the discrete Wavelet Transform (DWT) on the result to get which was abbreviated as (CAW). The second mixed transform consists of firstly computing the discrete Fourier transform (DFT), net applying the Arnold Transform (AT), and finally, the computation of discrete Wavelet Transform (DWT) which was abbreviated as (FAW). These transforms have superior directional representations as compared to other multiresolution representations such as DWT or DCT and work as non-adaptive mixed transformations for multi-scale object analysis. Due to their relationship to the wavelet idea, they are finding increasing use in areas like image processing and scientific computing. These transforms are tested in medical image classification task and their performances are compared with that of the traditional transforms. CAW and FAW transforms are used in the feature extraction stage of a classification VGG16 deep learning (DNN) task of Tumor MRI medical image. The numerical findings favor CAW and FAW over the wavelet transform for estimating and classifying pictures. From the results obtained it was shown that the CAW and FAW transform gave e much higher classification rate than that achieved with the traditional transforms, namely DCT, DFT and DWT. Furthermore, this combination leads to a family of directional and multi-transformation bases for image processing.
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Tang, Ling, Ming Ju Chen, and Hong Song. "Hybrid Color Image Compression Using Discrete Cosine Transform and Discrete Wavelet Transform." Applied Mechanics and Materials 198-199 (September 2012): 244–48. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.244.

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In this research we undertake a study of image compression based on the discrete cosine transform(DCT) and discrete wavelet transform(DWT). Then a hybrid color image compression algorithm based on DCT and DWT is proposed. This algorithm is implemented through transform the color image using DWT in the YCbCr space first, and then DCT in the low frequency, adopt huffman coding, RLE and arithmetic coding in the encoded mode. In experiments, the results outperform the only DCT and the only DWT typically higher in peak signal-to-noise ratio and have better visual quality.
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Setyono, Andik, and De Rosal Ignatius Moses Setiadi. "Image watermarking using discrete wavelet-tchebichef transform." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (December 1, 2019): 1416. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1416-1423.

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<span>Image watermarking is one of the most popular techniques for authenticating copyright on the digital image. Many research on image watermarking has proved that the joint of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) combinations can improve both imperceptibility and robustness when compared to DCT or DWT only. Discrete Tchebichef Transform (DTT) denotes an alternative transformation that has a similarity property with DCT. DTT has an advantage in reducing memory requirements during computing, so the calculation speed is much faster than DCT. This study tested the performance of DTT and DCT on non-blind image watermarking method, where DTT and DCT are performed after DWT. Based on the experimental results, this research proved that the DTT was combined successfully with DWT and very potential for further investigation because it has a computing performance much better than DCT. While the image watermarking quality, both the imperceptibility and robustness aspects were completely identical with the combination of DCT and DWT transformation.</span>
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Aulia, Suci, and Arif Setiawan. "PENGENALAN TULISAN TANGAN KARAKTER HIRAGANA MENGGUNAKAN DCT, DWT, DAN K-NEAREST NEIGHBOR." Jurnal Elektro dan Telekomunikasi Terapan 4, no. 1 (October 25, 2017): 467. http://dx.doi.org/10.25124/jett.v4i1.993.

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Penelitian untuk mengenali karakter huruf hiragana berbasis image processing telah banyakdilakukan dan bahkan tingkat akurasi hampir mendekati 100%. Namun citra masukkan yangdigunakan masih berupa karakter huruf jepang hasil print-out sedangkan untuk masukkan berupatulisan tangan belum dilakukan. Maka pada penelitian ini diujikan pengenalan huruf hiragana yangberasal dari tulisan tangan berformat .jpeg. Dari beberapa strudi terkait, pendekatan kompresi yangpaling sering digunakan untuk citra JPEG adalah algoritma DCT dan DWT, sehingga keduaalgoritma tersebut digunakan pada penelitian ini untuk diujikan dan dibandingkan performansinya.Pada sistem diujikan 45 citra dari 3 orang tulisan tangan karakter hiragana dengan klasifikasiberbasis KNN dimana sebelumnya 45 citra yang berbeda dari 3 orang tersebut di training olehmasing-masing algoritma DWT dan DCT. Hasilnya berdasarkan parameter jarak yang ada padaalgoritma KNN, algoritma DWT lebih unggul dibandingkan algoritma DCT. Pencapaian tingkatakurasi maksimum diperoleh untuk masing-masing algoritma DWT-DCT adalah pada parametercityblok 82.61 % (DWT) dan correlation 58.70 % (DCT).
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Apu Hosen, Md, Shahadat Hoshen Moz, Sk Shalauddin Kabir, Md Nasim Adnan, and Syed Md. Galib. "In-depth exploration of digital image watermarking with discrete cosine transform and discrete wavelet transform." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 1 (January 1, 2024): 581. http://dx.doi.org/10.11591/ijeecs.v33.i1.pp581-590.

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Digital image watermarking is a crucial technique used to protect the integrity and ownership of digital images by embedding imperceptible watermarks into the image content. This review concentrates on the utilization of discrete cosine transform (DCT) and discrete wavelet transform (DWT) in digital image watermarking schemes. DCT, widely used in image compression like JPEG, is an attractive choice for watermarking, modifying DCT coefficients with minimal impact on image quality. On the other hand, DWT offers multiresolution representation, enabling better localization and robustness against attacks. DWT-based methods use wavelet coefficients to embed watermarks in specific frequency bands or image regions. The review examines the strengths and weaknesses of DCT and DWT in digital image watermarking, exploring algorithms and approaches proposed in the literature. It also addresses challenges like attacks, synchronization, and robustness to image processing. Additionally, a comparative analysis of DCT and DWT-based methods considers imperceptibility, robustness, capacity, and computational complexity. By offering valuable insights, this review aids researchers and practitioners in implementing secure and efficient digital image watermarking solutions.
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Jang, Bong-Joo, Sanghun Lim, Won Kim, and Huiseong Noh. "DCT and DWT based Damaged Weather Radar Image Retrieval." Journal of Korea Multimedia Society 20, no. 2 (February 28, 2017): 153–62. http://dx.doi.org/10.9717/kmms.2017.20.2.153.

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Dissertations / Theses on the topic "DWT"

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Bis, Jan. "Řízení převíječky sádrokartonářské pásky (DWT)." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316067.

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This thesis deals with a description of the industrial machine of the DWT (drywall tape) rewinder. The winder rewinds and cuts the drywall tape tape into smaller tapes, that are then sold. The first part contains a description of the winder, its structure and functions of its individual parts. The second part contains a description of the control system and the power wiring of winder. The next section contains a description of programming and setting of PLC, frequency inverters, and touch panel. Some modifications are then described when putting the winder into operation. The winder has been successfully implemented and built into a continuous shift operation. However, the development of the rewinder continues to improve its features and user-friendliness.
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Wichakool, Warit 1977. "A comparative study of DCT, LOT, and DWT-based image coders." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86749.

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Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
Includes bibliographical references (leaves 108-109).
by Warit Wichakool.
M.Eng.and S.B.
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Kupka, Jan. "Vodoznačení digitálních dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217292.

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The main aim of this project is to implement two different types of the watermarking algorithm in frequency (transforamtion) domain. Because of the huge amount of the watermarking algorithms is this thesis dedicated to the watermarking methods in the frequency domain. These methods use kind of transformation implemented on the original data, the second step is modification of transformation coeficients. This project is dedicated to the methods which use discrete wavelet transformation. Nowdays the most popular transformation, which meets the best efforts. The aim of every method is to embeed the watermark into the original data so precisly, that none observer can recognize any change between the original and watermarked data. On the contrary, watermarked picture should be as resistant to the attacks as possible. By the term of attack, we understand all the ways, that disable watermark extraction. The watermark method robustness will be tested with the use of Checkmark program.
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Murugesan, Somasekar. "Benchmarking of Sleipnir DSP Processor, ePUMA Platform." Thesis, Linköpings universitet, Datorteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-74080.

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Choosing a right processor for an embedded application, or designing a new pro-cessor requires us to know how it stacks up against the competition, or sellinga processor requires a credible communication about its performance to the cus-tomers, which means benchmarking of a processor is very important. They arerecognized world wide by processor vendors and customers alike as the fact-basedway to evaluate and communicate embedded processor performance. In this the-sis, the benchmarking of ePUMA multiprocessor developed by the Division ofComputer Engineering, ISY, Linköping University, Sweden will be described indetails. A number of typical digital signal processing algorithms are chosen asbenchmarks. These benchmarks have been implemented in assembly code withtheir performance measured in terms of clock cycles and root mean square errorwhen compared with result computed using double precision. The ePUMA multi-processor platform which comprises of the Sleipnir DSP processor and Senior DSPprocessor was used to implement the DSP algorithms. Matlab inbuilt models wereused as reference to compare with the assembly implementation to derive the rootmean square error values of different algorithms. The execution time for differentDSP algorithms ranged from 51 to 6148 clock cycles and the root mean squareerror values varies between 0.0003 to 0.11.
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Ghosh, Debeshi D. "Audio Watermarking Using DWT Algorithm and Symmetric Key Cryptography." Thesis, California State University, Long Beach, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10263604.

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Watermarking is the process of embedding information into a carrier signal such as audio, video, and images. It is widely used to protect proprietary information in the signal to prevent information theft or duplicity. In this project, an audio watermarking system with dual layer security has been implemented. The entire system is divided into two sections that are independent, but have been combined, to make a unique system that provides increased levels of robustness. The first part of the project involves encrypting an embedded image (watermark) using the XOR method of symmetric key cryptography. Encryption is then followed by watermarking. The digital wavelet transform (DWT) algorithm was used to embed the encrypted image into an audio signal. This ensures that even if this image is removed during an attack to the carrier signal, it cannot be interpreted or used. Though encryption combined with watermarking is unconventional, it proves to be an effective technique when implemented correctly.

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Fontes, Ramiro C. "Applications of Allouba's Differentiation Theory and Semi-SPDEs." Kent State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=kent1271438954.

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Mei, Liming, and james mei@ieee org. "A DWT Based Perceptual Video Coding Framework - Concepts, Issues and Techniques." RMIT University. Electrical and Computer Engineering, 2009. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20090506.103244.

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The work in this thesis explore the DWT based video coding by the introduction of a novel DWT (Discrete Wavelet Transform) / MC (Motion Compensation) / DPCM (Differential Pulse Code Modulation) video coding framework, which adopts the EBCOT as the coding engine for both the intra- and the inter-frame coder. The adaptive switching mechanism between the frame/field coding modes is investigated for this coding framework. The Low-Band-Shift (LBS) is employed for the MC in the DWT domain. The LBS based MC is proven to provide consistent improvement on the Peak Signal-to-Noise Ratio (PSNR) of the coded video over the simple Wavelet Tree (WT) based MC. The Adaptive Arithmetic Coding (AAC) is adopted to code the motion information. The context set of the Adaptive Binary Arithmetic Coding (ABAC) for the inter-frame data is redesigned based on the statistical analysis. To further improve the perceived picture quality, a Perceptual Distortion Measure (PDM) based on human vi sion model is used for the EBCOT of the intra-frame coder. A visibility assessment of the quantization error of various subbands in the DWT domain is performed through subjective tests. In summary, all these findings have solved the issues originated from the proposed perceptual video coding framework. They include: a working DWT/MC/DPCM video coding framework with superior coding efficiency on sequences with translational or head-shoulder motion; an adaptive switching mechanism between frame and field coding mode; an effective LBS based MC scheme in the DWT domain; a methodology of the context design for entropy coding of the inter-frame data; a PDM which replaces the MSE inside the EBCOT coding engine for the intra-frame coder, which provides improvement on the perceived quality of intra-frames; a visibility assessment to the quantization errors in the DWT domain.
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Islam, Mohd Siblee. "A Decision Support System for StressDiagnosis using ECG Sensor." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-11769.

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Diagnosis of stress is important because it can cause many diseases e.g., heart disease, headache, migraine, sleep problems, irritability etc. Diagnosis of stress in patients often involves acquisition of biological signals for example heart rate, finger temperature, electrocardiogram (ECG), electromyography signal (EMG), skin conductance signal (SC) etc. followed up by a careful analysis of the acquired signals. The accuracy is totally dependent on the experience of an expert. Again the number of such experts is also very limited. Heart rate is considered as an important parameter in determining stress. It reflects status of the autonomic nervous system (ANS) and thus is very effective in monitoring any imbalance in patient’s stress level. Therefore, a computer-aided system is useful to determine stress level based on various features that can be extracted from a patient’s heart rate signals. Stress diagnosis using biomedical signals is difficult and since the biomedical signals are too complex to generate any rule an experienced person or expert is needed to determine stress levels. Also, it is not feasible to use all the features that are available or possible to extract from the signal. So, relevant features should be chosen from the extracted features that are capable to diagnose stress. Again, ECG signal is frequently contaminated by outliers produced by the loose conduction of the electrode due to sneezing, itching etcetera that hampers the value of the features. A Case-Based Reasoning (CBR) System is helpful when it is really hard to formulate rule and the knowledge on the domain is also weak. A CBR system is developed to evaluate how closely it can diagnose stress levels compare to an expert. A study is done to find out mostly used features to reduce the number of features used in the system and in case library. A software prototype is developed that can collect ECG signal from a patient through ECG sensor and calculate Inter Beat Interval (IBI) signal and features from it. Instead of doing manual visual inspection a new way to remove outliers from the IBI signal is also proposed and implemented here. The case base has been initiated with 22 reference cases classified by an expert. A performance analysis has been done and the result considering how close the system can perform compare to the expert is presented. On the basis of the evaluations an accuracy of 86% is obtained compare to an expert. However, the correctly classified case for stressed group (Sensitivity) was 57% and it is quite important to increase as it is related to the safety issue of health. The reasons of relatively lower sensitivity and possible ways to improve it are also investigated and explained.
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Sedlář, Karel. "Komprese genomických signálů pro klasifikaci a identifikaci organismů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220018.

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Modern classification of organisms is performed on molecular data. These methods rely on multiple alignment of sequences of characters which make them computationally demanding. Only small parts of genomes can be compared in reasonable time. In this paper, the novel algorithm based on conversion of the whole genome sequences to cumulative phase signals is presented. Dyadic wavelet transform is used for lossy compression of signals by redundant frequency bands elimination. Signal classification is then performed as a cluster analysis using Euclidian metrics where multiple alignment is replaced by dynamic time warping.
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SOUZA, MARCIO ALBUQUERQUE DE. "ARBITRARILY SHAPED OBJECT CODING USING SHAPE-ADAPTATIVE DWT AND SHAPE-ADAPTATIVE SPIHT." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2001. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=1748@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
Codificação de objetos de forma arbitrária extraídos de imagens regulares é um dos assuntos de maior desafio nos mais recentes padrões de codificação de vídeo (MPEG-4). Neste estudo, é proposta uma nova estratégia de codificação de objetos envolvendo maior eficiência na decomposição e quantização de sub-bandas. A técnica de transformação proposta envolve Transformada Wavelet Discreta (DWT) e a de quantização é baseada no algoritmo de Partição de Conjuntos em Árvores Hierárquicas (SPIHT).
Coding of arbitrarily shaped objects extracted from regular images is one of the most challenging issues on the latest video coding standards (MPEG-4). In this work, a new object coding strategy is proposed, involving greater efficiency on subband splitting and quantization. The proposed transform technique involves Discrete Wavelet Transform (DWT) and the proposed quantization technique is based on the Set Partitioning in Hierarchical Trees (SPIHT) algorithm.
La codificación de objetos de forma arbitraria extraídos de imágenes regulares es uno de los asuntos de mayor desafío en los más recientes padrones de codificación de video (MPEG-4). En este estudio, se propone una nueva estrategia de codificación de objetos con mayor eficiencia en la descomposición y cuantización de subbandas. La técnica de transformación propuesta incluye Transformada Wavelet Discreta (DWT) y la de cuantización tiene como base el algoritmo de Partición de Conjuntos en Árboles Jerárquicas (SPIHT).
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Books on the topic "DWT"

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Potter, Beatrix. Hanes Mrs Tigi-dwt. Llandwrog: Cyhoeddiadau Sain, 1996.

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Ariana, I. Made. Optimasi penggunaan propeller sebagai penggerak kapal dan pembangkit tenaga listrik pada KLB Maruta Jaya 900 DWT: Laporan penelitian. [Surabaya]: Jurusan Teknik Sistem Perkapalan, Fakultas Teknologi Kelautan, Lembaga Penelitian, Institut Teknologi Sepuluh Nopember, 1997.

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Pertamina (Organization). Direktorat Pembekalan dan Pemasaran Dalam Negeri., ed. Analisis dampak lingkungan pengembangan Dermaga III kapasitas 120.000 DWT dan pengerukan kolam pelabuhan di pelabuhan khusus Tanjung Uban, Pulau Bintan, Riau. [Jakarta]: Direktorat Pembekalan dan Pemasaran Dalam Negeri, Pertamina, 2000.

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Wijnberg, Nachoem M. Eerst dit dan dat: Gedichten. Amsterdam: Contact, 2004.

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Freudenthal, August. Heideckern: Dut un dat in noordhannöversch platt. Soltau: Kommissionsverlag der Missionshandlung Hermannsburg, 1989.

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Ewo, Jon. Dit gatene går når det blir natt: Roman. Oslo: Gyldendal norsk forlag, 1992.

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Valkeapää, Nils-Aslak. Nu guhkkin dat mii lahka =: Så fjernt det nære. Guovdageaidnu [Kautokeino]: DAT, 1994.

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Bahr, Gerd. Wo heet dut und dat op Platt?: Kleiner plattdeutscher Sprachfuhrer. Stade: Stadt-Sparkasse Stade, 1985.

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Wie ben ik dat ik dit doen mag: Zes koninklijke inhuldigingen. Amsterdam: Meulenhoff, 2011.

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Hadi, Puzi. Dot dot dot. Kuala Lumpur: Esastera Enterprise, 2013.

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Book chapters on the topic "DWT"

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Dhar, Pranab Kumar, and Tetsuya Shimamura. "DWT-DCT-Based Audio Watermarking Using SVD." In SpringerBriefs in Electrical and Computer Engineering, 17–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14800-7_3.

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Shivani and Navdeep Singh. "Gait Recognition Using DWT and DCT Techniques." In Proceedings of International Conference on Communication and Artificial Intelligence, 473–81. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6546-9_45.

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Selesnick, Ivan W. "The Double Density DWT." In Computational Imaging and Vision, 39–66. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9715-9_2.

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Shukla, K. K., and Arvind K. Tiwari. "Filter Banks and DWT." In Efficient Algorithms for Discrete Wavelet Transform, 21–36. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4941-5_2.

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Alessio, Silvia Maria. "Discrete Wavelet Transform (DWT)." In Signals and Communication Technology, 645–714. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25468-5_14.

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Emek, Serkan, and Melih Pazarci. "Additive vs. Image Dependent DWT-DCT Based Watermarking." In Multimedia Content Representation, Classification and Security, 98–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11848035_15.

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Dhaked, Devender Kumar. "Combined DCT-DWT Color Image Digital Watermarking Technique." In Studies in Autonomic, Data-driven and Industrial Computing, 169–77. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3915-9_13.

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Li, De, Yingying Ji, and JongWeon Kim. "A Quantified Audio Watermarking Algorithm Based on DWT-DCT." In Communications in Computer and Information Science, 339–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27186-1_47.

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Annoni, Ronald, and Carlos Henrique Quartucci Forster. "Experimental Comparison of DWT and DFT for Trajectory Representation." In Intelligent Data Engineering and Automated Learning - IDEAL 2012, 670–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32639-4_80.

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Patil, Ashvini Sandip, Rupali M. Patil, and Milind M. Shinde. "DWT Based Mosaic Image Steganography." In Techno-Societal 2018, 95–107. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16848-3_10.

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Conference papers on the topic "DWT"

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Negi, Kamini, and Rahul Chauhan. "DCT, DWT, SVD & integrated DCT-DWT based robust digital image watermarking algorithm." In The International Conference on Communication and Computing Systems (ICCCS-2016). Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315364094-3.

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Navas, K. A., Mathews Cheriyan Ajay, M. Lekshmi, Tampy S. Archana, and M. Sasikumar. "DWT-DCT-SVD based watermarking." In Middleware and Workshops (COMSWARE '08). IEEE, 2008. http://dx.doi.org/10.1109/comswa.2008.4554423.

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Bhojani, Dhaval R., and Ved Vyas Dwivedi. "Innovative video compression technique using DWT-DCT." In 2012 1st International Conference on Emerging Technology Trends in Electronics, Communication and Networking (ET2ECN). IEEE, 2012. http://dx.doi.org/10.1109/et2ecn.2012.6470097.

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Ezhilarasan, M., and P. Thambidurai. "A Hybrid DWT-DCT based video coding." In 2006 Annual IEEE India Conference. IEEE, 2006. http://dx.doi.org/10.1109/indcon.2006.302797.

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Mawande, Swagata, and Hemlata Dakhore. "Video watermarking using DWT-DCT-SVD algorithms." In 2017 International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2017. http://dx.doi.org/10.1109/iccmc.2017.8282656.

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Hsieh, Ming-Jyh, Ming-Syan Chen, and Philip S. Yu. "Integrating DCT and DWT for approximating cube streams." In the 14th ACM international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1099554.1099588.

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Kansal, Manie, Gursharanjeet Singh, and B. V. Kranthi. "DWT, DCT and SVD Based Digital Image Watermarking." In 2012 International Conference on Computing Sciences (ICCS). IEEE, 2012. http://dx.doi.org/10.1109/iccs.2012.28.

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Cheng, Jun. "Digital watermark algorithm based on DWT and DCT." In 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2012. http://dx.doi.org/10.1109/cyber.2012.6319985.

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McLauchlan, Lifford, and Mehrübe Mehrübeoglu. "DWT and DCT embedded watermarking using chaos theory." In SPIE Optical Engineering + Applications. SPIE, 2010. http://dx.doi.org/10.1117/12.863338.

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Patil, Jayshri P., Chhaya Nayak, and Mohit Jain. "Palmprint recognition using DWT, DCT and PCA techniques." In 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2015. http://dx.doi.org/10.1109/iccic.2015.7435677.

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Reports on the topic "DWT"

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Skone, Timothy J. Ocean Vessel 30K DWT Construction. Office of Scientific and Technical Information (OSTI), August 2010. http://dx.doi.org/10.2172/1509423.

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Shensa, M. J. An Inverse DWT for Nonorthogonal Wavelets. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada272064.

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Biagio, Di. L52037 Ductile Fracture Propagation Resistance for Advanced Pipeline Designs. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 2008. http://dx.doi.org/10.55274/r0011001.

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The development of a method able to evaluate the ductile fracture behavior on pipelines has been documented. Therefore, methods for the determination of material fracture resistance and crack driving force have been accurately investigated. In particular, the techniques to determine the critical fracture characterizing parameter CTOA (crack tip opening angle) have been reviewed in-depth (back-slotted drop weight tear tests [DWTT], two specimen CTOA tests, etc.), and in view of a future pipe-mill application. For a more reliable CTOA estimate the needed following parameters have been investigated: 1) rotation factor in a DWTT and 2) the material flow stress to be used in dynamic tests. On the other hand, as far as the crack driving force is concerned, a finite element code developed by CSM (PICPRO) has been successfully used to evaluate the correlation between the CTOA inferred by DWT tests and that measured on pipe. In addition PICPRO has been used to determine the driving force acting on pipe in a wide range of operating conditions, finally supplying an appropriate formula for its calculation. Once the driving force and the fracture resistance have been determined their comparison allows crack arrest assessment.
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Wilkowski, Gery. PR-276-184501-R01 Toughness Specification to Avoid Brittle Fracture in New Linepipe Steels. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), March 2020. http://dx.doi.org/10.55274/r0011658.

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Historically, Charpy test results have been used for assessing linepipe steels for fitness-for-service or new pipeline design, and the linepipe steels should be chosen such that the brittle-to-ductile transition temperature of the steel is below the minimum design service temperature. The transition temperature is typically much different for crack initiation versus crack propagation. This study focused on the transition temperature for fracture initiation which is important for liquid as well as high-energy lines. However, in recent studies, different behavior between vintage and newer steels has been noticed for the fracture initiation transition temperature relative to Charpy data. Even the fracture surface appearance in the Charpy test is much different for vintage steels than for newer steels. To investigate the above issues, the objectives of the current project were set to: a) determine if the fracture initiation transition temperature for new linepipe steels is similar to that in older steels, and how to predict it better if Charpy data are insufficient; and b) understand if the Charpy energy requirement for API 5L PSL-2 linepipe is always adequate to ensure ductile fracture initiation at the Charpy test temperature. In this project, the transition temperature behaviors of three linepipe steels from the Charpy test data, results from drop-weight tests to determine the nil-ductility temperature or DWT-NDT, and findings from more sophisticated fracture tests such as single-edge-notched tension [SEN(T)] that is representative of surface-cracked pipe behavior, and compact tension [C(T)] specimen tests that are representative of through-wall-cracked pipe behavior were determined. The report summarizes the key findings of the project for newer steels and attempts to contrast fracture initiation behavior in vintage versus newer linepipe steels.
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Wills, Ann. DFT (and DMFT) for DFT users. Office of Scientific and Technical Information (OSTI), July 2023. http://dx.doi.org/10.2172/1989140.

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NMR Publisering. Det internationale Norden. Nordisk Ministerråd, June 2013. http://dx.doi.org/10.6027/anp2013-752.

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Wauson, Kerry Wesley. DET Kaizen Summary. Office of Scientific and Technical Information (OSTI), November 2019. http://dx.doi.org/10.2172/1574729.

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NMR Publicering. Det framtida nordiska hälsosamarbetet. Nordisk Ministerråd, June 2014. http://dx.doi.org/10.6027/anp2014-730.

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Anantatmula, R. P. DST pitting annual report. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/330737.

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Koc, Ut-Va, and K. J. Liu. DCT-Based Motion Estimation. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada452980.

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