Academic literature on the topic 'Advanced Z-transform'

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Journal articles on the topic "Advanced Z-transform"

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Corinthios, Michael J. "New Laplace, z and Fourier-related transforms." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 463, no. 2081 (2007): 1179–98. http://dx.doi.org/10.1098/rspa.2007.1814.

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In this paper, the author uses his recently proposed complex variable generalized distribution theory to expand the domains of existence of bilateral Laplace and z transforms, as well as a whole new class of related transforms. A vast expansion of the domains of existence of bilateral Laplace and z transforms and continuous-time and discrete-time Hilbert, Hartley and Mellin transforms, as well as transforms of multidimensional functions and sequences are obtained. It is noted that the Fourier transform and its applications have advanced by leaps and bounds during the last century, thanks to the introduction of the theory of distributions and, in particular, the concept of the Dirac-delta impulse. Meanwhile, however, the truly two-sided ‘bilateral’ Laplace and z transforms, which are more general than Fourier, remained at a standstill incapable of transforming the most basic of functions. In fact, they were reduced by half to one-sided transforms and received no more than a passing reference in the literature. It is shown that the newly proposed generalized distributions expand the domains of existence and application of Laplace and z transforms similar to and even more extensively than the expansion of the domain of Fourier transform that resulted from the introduction, nearly a century ago, of the theory of distributions and the Dirac-delta impulse. It is also shown that the new generalized distributions put an end to an anomaly that still exists today, which meant that for a large class of basic functions, the Fourier transform exists while the more general Laplace and z transforms do not. The anomaly further manifests itself in the fact that even for the one-sided causal functions, such as the Heaviside unit step function u ( t ) and the sinusoid sin βtu ( t ), the Laplace transform does not exist on the j ω -axis, and the Fourier transform which does exist cannot be deduced thereof by the substitution s =j ω in the Laplace transform, which by definition it should. The extended generalized transforms are well defined for a large class of functions ranging from the most basic to highly complex fast-rising exponential ones that have so far had no transform. Among basic applications, the solution of partial differential equations using the extended generalized transforms is provided. This paper clearly presents and articulates the significant impact of extending the domains of Laplace and z transforms on a large family of related transforms, after nearly a century during which bilateral Laplace and z transforms of even the most basic of functions were undefined, and the domains of definition of related transforms such as Hilbert, Hartley and Mellin transforms were confined to a fraction of the space they can now occupy.
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Zhu, Jun, Xiao Jia Lu, and Xiang Liu. "Application of Chirp-z Transform in Doppler Weather Radar." Applied Mechanics and Materials 513-517 (February 2014): 4265–68. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.4265.

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Among the signal processing methods of Doppler weather radar, the FFT (Fast Fourier Transform) method is widely used. If the measurement accuracy needs to be improved, the number of FFT points also needs to be increased. As a result, the amount of computation increases exponentially. Chirp-z transform can directly refine certain spectrum in the spectrum of weather echoes. In the case that the sampling points and the amount of computation increase fewer, the measurement accuracy can be greatly advanced.
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El-Kareem, Mona Abd, and Ibrahiem M. M. El-Emary. "Towards Developing An Advanced Methodology For Image Enhancement Based On Z-Transform." Bioscience Biotechnology Research Communications 12, no. 1 (2019): 66–72. http://dx.doi.org/10.21786/bbrc/12.1/9.

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Said, Archana Ganesh, and Bharti Joshi. "Advanced multimodal thermal imaging for high-precision fruit disease segmentation and classification." Journal of Autonomous Intelligence 7, no. 5 (2024): 1618. http://dx.doi.org/10.32629/jai.v7i5.1618.

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<p>The urgent necessity to bolster agricultural productivity while ensuring quality control has amplified the demand for advanced diagnostic methods for fruit disease detection. Thermal imaging, a promising non-destructive technique, remains underutilized due to complexities and inefficiencies in existing processing models, particularly in handling multiple disease types and maintaining performance at scale. Current methods falter with increased disease variability, presenting a challenge in real-time applications due to their computational intensity and reduced accuracy. Addressing these limitations, this study introduces a robust multimodal analysis framework for fruit disease segmentation and classification based on thermal scans. The proposed model begins with the collection of thermal images of fruits, employing entropy-based Saliency Maps for precise image segmentation. To effectively represent the distinctions of these segmented images, the model harnesses a comprehensive suite of transformations—Frequency, Z Transform, S Transform, and Gabor Transforms—tailoring multi domain features to distinguish between disease states. A pivotal advancement is the integration of Coot Optimization (CO), which streamlines the feature selection process, significantly diminishing redundancy and isolating the most discriminative features for disease identification. Classification is adeptly managed by a novel Graph-based Generative Adversarial Network (Graph GAN) that innovatively combines Graph Neural Networks with the generative capabilities of GANs, offering a powerful blend for categorizing fruit diseases. Upon rigorous testing with mango and apple thermal images, the model demonstrated a remarkable increase in performance metrics, outstripping contemporary methods by achieving a 9.4% enhancement in accuracy, a 4.5% rise in precision, a 3.9% improvement in recall, and a substantial 8.3% reduction in processing delays. The implications of this work are profound, signaling a paradigm shift in agricultural disease management. By significantly elevating the speed and precision of disease detection through thermal imaging, this model paves the way for large-scale, real-time monitoring, potentially revolutionizing fruit disease diagnosis and helping to secure global food supplies in an era of increasing environmental challenges.</p>
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Islam, MD Saiful, Young Kyoung Ji, Kihyun Kim, and Hyo-Young Kim. "Advanced Machine Learning Techniques for Predicting Z-Axis Belt Wear in Wafer Transfer Robots." International Journal of Precision Engineering and Manufacturing-Smart Technology 3, no. 1 (2025): 17–30. https://doi.org/10.57062/ijpem-st.2024.00157.

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Wafer-transfer robots (WTRs) are critical to semiconductor manufacturing, where precision and efficiency are essential to ensure high production yields and minimize defects. A key challenge is the wear and degradation of the Z-axis belt, which can cause misalignments, operational disruptions, and costly downtimes. This study presents a data-driven approach leveraging machine learning to predict Z-axis belt wear, enhancing WTR reliability and performance. High-frequency acceleration sensor data from the Upper Blade axis of WTRs were utilized to develop and test various machine learning classification models, including K-Nearest Neighbors (KNN), Logistic Regression, Naive Bayes, Decision Tree, and Random Forest. The Random Forest model achieved the highest predictive accuracy at 99.8%, significantly surpassing traditional maintenance methods. These findings highlight the potential of machine learning to transform predictive maintenance in semiconductor manufacturing. By anticipating and preventing faults with exceptional precision, machine learning-based predictive maintenance enables more reliable and efficient operations, reducing costs and enhancing system longevity. This study not only demonstrates the effectiveness of machine learning in predictive maintenance but also sets the foundation for future applications aimed at optimizing the performance and lifespan of critical manufacturing equipment.
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Lee, Eun-Hye, Mi-Kyung Lee, and Soo-Jeong Lim. "Enhanced Stability of Indocyanine Green by Encapsulation in Zein-Phosphatidylcholine Hybrid Nanoparticles for Use in the Phototherapy of Cancer." Pharmaceutics 13, no. 3 (2021): 305. http://dx.doi.org/10.3390/pharmaceutics13030305.

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Indocyanine green (ICG) is a clinically approved near-infrared dye that has shown promise as a photosensitizer for the phototherapy of cancer. However, its chemical instability in an aqueous solution has limited its clinical application. Encapsulating ICG in liposomes, phosphatidylcholine nanoparticles (PC-NP), has shown partial effectiveness in stabilizing it. Prompted by our recent finding that the zein-phosphatidylcholine hybrid nanoparticles (Z/PC-NP) provide an advanced drug carrier compared to PC-NP, we herein investigated the potential of Z/PC-NP as an improved ICG formulation. Dynamic light scattering analysis, transmission electron microscopy, and Fourier-transform infrared spectroscopy studies showed that ICG was encapsulated in Z/PC-NP without hampering the high colloidal stability of the Z/PC-NP. During storage, the Z/PC-NP almost completely inhibited the ICG aggregation, whereas the PC-NP did so partially. The Z/PC-NP also more effectively blocked the ICG degradation compared to the PC-NP. The phototoxicity of ICG encapsulated in Z/PC-NP on cancer cells was twofold higher than that in the PC-NP. The ICG encapsulated in Z/PC-NP, but not in PC-NP, maintained its photocytotoxicity after four-day storage. These findings highlight the promising potential of Z/PC-NP as an ICG formulation that provides a higher stabilization effect than PC-NP.
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Wen, Yuan. "Optimization design of biomechanical parameters based on advanced mathematical modelling." Molecular & Cellular Biomechanics 21, no. 3 (2024): 463. http://dx.doi.org/10.62617/mcb463.

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In recent years the use of biomechanics in athletic training and performance has received a lot of attention, especially in university sports programs. Biomechanics is the study of the mechanical principles that control how biological things move or are constructed. It is critical for understanding the intricate relationships between physical performance, body mechanics, and injury prevention. The objective of this study is to establish how biomechanical variables can be designed and optimized in universities using mathematical modeling. In this study, a novel Emperor Penguin Search-driven Dynamic Feedforward Neural Network (EPSO-DFNN) is proposed to optimize the biomechanical parameters of athletes. Various biomechanical data are utilized from athletes participating in different sports. Biomechanical parameters include muscle activation patterns, joint angles, forces, and movement. The data was preprocessed using Z-score normalization from the obtained data. The Fast Fourier Transform (FFT) using features is extracted from preprocessed data. The proposed method is to identify the optimal configurations for athlete’s movements tailored to their sports and individual biomechanical profiles. The proposed method is the performance of various evaluation metrics such as F1-score (92.76%), precision (91.42%), accuracy (90.02%), and recall (89.69%). The result demonstrated that the proposed method effectively improved the performance in athletic capabilities compared to other traditional algorithms. This study demonstrates how mathematical modeling may be used to optimize biomechanical characteristics, providing insightful information that can be used to improve athletic performance and encourage safer behaviors in athletic settings.
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Cutmore, Tim R. H., and Patrick Celka. "Composite Noise Reduction of ERPs Using Wavelet, Model-Based, and Principal Component Subspace Methods." Journal of Psychophysiology 22, no. 3 (2008): 111–20. http://dx.doi.org/10.1027/0269-8803.22.3.111.

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This paper used three theoretically different algorithms for reducing noise in event-related potential (ERP) data. It examined the possibility that a hybrid of these methods could show gains in noise reduction beyond that obtained with any single method. The well-known ERP oddball paradigm was used to evaluate three denoising methods: statistical wavelet transform (wavelet-Z), a smooth subspace wavelet filter (wavelet-S), and subspace PCA. The six possible orders of serial application of these methods to the oddball waveforms were compared for efficacy in signal enhancement. It was found that the order was not commutative, with the best results obtained from applying the wavelet-Z first. Comparison of oddball and frequent trials in the grand average and in individual averages showed considerable enhancement of the differences. It was concluded that denoising to remove variance caused by rare sizeable artifacts is best done first, followed by state space PCA and a light-bias model-based wavelet denoising. The ability to detect and distinguish the effects of variables (such as task, drug effects, individual differences, etc.) on ERPs related to human cognition could be considerably advanced using the denoising methods described here.
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Vesala, G. T., V. S. Ghali, S. Subhani, and Y. Naga Prasanthi. "Material characterisation by enhanced resolution in non-stationary thermal wave imaging." Insight - Non-Destructive Testing and Condition Monitoring 63, no. 12 (2021): 721–26. http://dx.doi.org/10.1784/insi.2021.63.12.721.

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In the recent past, quadratic frequency-modulated thermal wave imaging (QFMTWI) has been advanced with a chirp z-transform (CZT)-based processing approach to facilitate enhanced subsurface anomaly detection, depth quantification and material property estimation with enhanced depth resolution. In the present study, the applicability of CZT-based phase analysis for foreign object defect detection in a structural steel sample using QFMTWI is validated through finite element-based numerical modelling rather than experimental verification due to limited available resources. Furthermore, the enhanced defect detection capability of the CZT phase approach is qualitatively compared with the frequency- and time-domain phase approaches using the defect signal-to-noise ratio (SNR) as a quality metric. Also, an empirical relationship between the observed phases and the thermal reflection coefficient is obtained, which recommends the CZT phase as a prominent approach for foreign material defect detection.
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Pataki-Bittó, Fruzsina, and Kata Kapusy. "Work environment transformation in the post COVID-19 based on work values of the future workforce." Journal of Corporate Real Estate 23, no. 3 (2021): 151–69. http://dx.doi.org/10.1108/jcre-08-2020-0031.

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Purpose The purpose of this study is to find out the future workforce’s work values and, based on them, to examine the work environment Generation Z are looking for in the situation of job search. Moreover, this study aims to provide ideas for organizations on how to transform the work environment for the post-COVID-19 era to attract and retain employees, especially the members of Generation Z. Design/methodology/approach The research design is based on the theory development method. Data were generated and collected from 28 focus groups and a survey (n = 773). First, initial coding was done with an affinity diagram, followed by the intermediate coding phase, when the authors compared the codings’ results and selected the core data. Finally, the advanced coding resulted in a work value model, which presents Generation Z’s core work value categories. Findings The paper presents a work value theory for Generation Z, which reflects their expectations of the physical work environment and the flexible work arrangements among the work values. To prepare for the post-COVID-19 era, this study suggests organizations applying hybrid working models. Practical implications Based on impacts and expected transformations in office work in the post-COVID-19 era, the paper calls attention to the critical management issues concerning Generation Z’s preferences and expectations. Originality/value The findings propose a broader work value theory approach that highlights the work environment’s convenience features and integrates values that support the employees’ desired lifestyle and well-being.
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Book chapters on the topic "Advanced Z-transform"

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Duffy, Dean G. "The Z-Transform." In Advanced Engineering Mathematics. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003272205-3.

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Stroud, K. A., and Dexter Booth. "Difference equations and the Z transform." In Advanced Engineering Mathematics. Macmillan Education UK, 2011. http://dx.doi.org/10.1057/978-0-230-34474-7_5.

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Jayashree, N., and R. S. Bhuvaneswaran. "Z-Transform Based Digital Image Watermarking Scheme with DWT and Chaos." In Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2538-6_30.

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Ghoshal, Nabin, Soumit Chowdhury, and Jyotsna Kumar Mandal. "Z Transform Based Digital Image Authentication Using Quantization Index Modulation (Z-DIAQIM)." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30111-7_71.

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Mandal, J. K., and Rakesh Kanji. "Invisible Image Watermarking Using Z Transforms (IIWZT)." In Advances in Computing and Information Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31552-7_81.

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Ghoshal, Nabin, Soumit Chowdhury, and Jyotsna Kumar Mandal. "A Steganographic Scheme for Color Image Authentication Using Z-Transform (SSCIAZ)." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27443-5_24.

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Mahapatra, Suman, J. K. Mandal, and Madhumita Sengupta. "Authentication in Higher Region of Convergence of Z Transform Domain (AHRocZ)." In Advances in Intelligent Systems and Computing. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2247-7_80.

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Jafari, Raheleh, Sina Razvarz, and Alexander Gegov. "Solving Differential Equations with Z-Numbers by Utilizing Fuzzy Sumudu Transform." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01057-7_82.

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Mandal, J. K., A. Khamrui, S. Chakraborty, P. Sur, S. K. Datta, and I. RoyChoudhury. "A Novel Genetic Algorithm Based Data Embedding Technique in Frequency Domain Using Z Transform (ANGAFDZT)." In Advances in Computing and Information Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31552-7_90.

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Björck, Göran. "Functions of Modulus 1 on Z n Whose Fourier Transforms Have Constant Modulus, and “CYCLIC n-ROOTS”." In Recent Advances in Fourier Analysis and Its Applications. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0665-5_10.

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Conference papers on the topic "Advanced Z-transform"

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Kastner, R., and O. Harpaz. "FDTD stability criteria derived in the Z-transform domain." In 2012 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2012. http://dx.doi.org/10.1109/iceaa.2012.6328786.

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Sirbu, Ioana-Gabriela, and Lucian Mandache. "Discrete Analysis of Electric Circuits in Transient Regime with Z-Transform." In 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE). IEEE, 2021. http://dx.doi.org/10.1109/atee52255.2021.9425254.

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Liu, Yibing, Jinliang Li, Haijun Wang, and Qiang Luo. "Improved Algorithm for Parameter Estimation of LFM Signal Based on Chirp-Z Transform." In CIPAE 2020: 2020 International Conference on Computers, Information Processing and Advanced Education. ACM, 2020. http://dx.doi.org/10.1145/3419635.3419670.

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Wang, Lisha, Li Zhou, Guangyang Xu, and Xiaopan Li. "Optical/NIR quasi-periodic oscillations of the blazar PKS 0537-441 with the weighted wavelet Z-transform technique." In ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS III: 3rd International Conference on Advances in Materials, Machinery, Electronics (AMME 2019). Author(s), 2019. http://dx.doi.org/10.1063/1.5090734.

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Ahmad, Shameem, Tofael Ahmed, Saad Mekhilef, et al. "Hardware implementation of grid connected transformer-less semi-Z-source inverter topology to mitigate common mode leakage current and THD." In 2015 International Conference on Advances in Electrical Engineering (ICAEE). IEEE, 2015. http://dx.doi.org/10.1109/icaee.2015.7506836.

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Kawashima, Hitoshi. "Transient grating with asymmetric arms for electro-optic generation of THz radiation." In International Conference on Ultrafast Phenomena. Optica Publishing Group, 1996. http://dx.doi.org/10.1364/up.1996.fe.3.

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Recent progress in femtosecond pulse-shaping technology1,2 drives a strong impetus to try to find novel operations that a tailored optical waveform can achieve and that would be impossible with transform-limit one. In this paper, we propose a scheme to map an amplitude profile of an optical waveform on THz radiation that is generated via optical rectification in nonlinear crystals3. The present study was motivated by an anticipation that if chirp can be optically coded on the THz radiation, it could compensate for spreading of the THz wavepacket that propagates under group-velocity-dispersion (GVD). The idea is close to recently demonstrated "wavepacket focusing"4. In an arrangement that we envision, two independent optical waveforms, E0 and ES, are directed into an E-O medium, and they overlap both in time and space to form a fringe pattern in the medium as shown in Fig. 1. Source polarization PNL ∝ EO ES emits THz radiation along the direction of difference wavevector, by which we define z-axis. We denote amplitude of wavepacket propagating in (± z) direction by U±. If E0 is a monochromatic light and ES has some tailored waveform, PNL is expected to replicate the amplitude profile of ES instead of its intensity profile. Detailed analysis5 reveals features proper to the present configuration; i) spectral bandwidth of U± is limited by spatial monochromaticity, of the fringe pattern, ii) when a chirped pulse is used as ES, U± carries an opposite chirp to each other, and cancellation of material GVD with the coded chirp occurs in either one direction. Also, arrival time of the wavepackets are shifted from that for ES with no chirp. The time shift is in advance in one direction and in retardence in the other. Objective of the experiment is to see such asymmetry.
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