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Relevant bibliographies by topics / Frequency-domain Quantization

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Academic literature on the topic 'Frequency-domain Quantization'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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Journal articles on the topic "Frequency-domain Quantization"

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Che, Wei-Wei, Zhi-Yong Mei, and Yu-Long Wang. "Fault Detection for Quantized Networked Control Systems." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/157063.

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The fault detection problem in the finite frequency domain for networked control systems with signal quantization is considered. With the logarithmic quantizer consideration, a quantized fault detection observer is designed by employing a performance index which is used to increase the fault sensitivity in finite frequency domain. The quantized measurement signals are dealt with by utilizing the sector bound method, in which the quantization error is treated as sector-bounded uncertainty. By using the Kalman-Yakubovich-Popov (GKYP) Lemma, an iterative LMI-based optimization algorithm is develo

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Bellan, Diego. "On the Validity of the Noise Model of Quantization for the Frequency-Domain Amplitude Estimation of Low-Level Sine Waves." Metrology and Measurement Systems 22, no. 1 (2015): 89–100. http://dx.doi.org/10.1515/mms-2015-0004.

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Abstract This paper deals with the amplitude estimation in the frequency domain of low-level sine waves, i.e. sine waves spanning a small number of quantization steps of an analog-to-digital converter. This is a quite common condition for high-speed low-resolution converters. A digitized sine wave is transformed into the frequency domain through the discrete Fourier transform. The error in the amplitude estimate is treated as a random variable since the offset and the phase of the sine wave are usually unknown. Therefore, the estimate is characterized by its standard deviation. The proposed mo

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Goto, Yutaka. "Effects of Noise on the Interpolation Accuracy for Apodized FFT Spectra of Time-Domain Damped Signals." Applied Spectroscopy 49, no. 12 (1995): 1776–80. http://dx.doi.org/10.1366/0003702953966037.

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Interpolation formulas for the apodized magnitude-mode fast Fourier transformed (FFT) spectra determine accurately the frequency, damping constant, and amplitude of time-domain damped signals. However, additive noise causes a large amount of error in interpolation. In this paper, we obtain, theoretically, the frequency-domain signal-to-noise (S/N) ratio due to windowing by the function of sinα( X) and quantization with finite bit-length analog-to-digital (A/D) converters. Then, with the use of the squared ratios between three magnitudes nearest to the peak maximum on the apodized FFT spectrum,

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Liu, Xiushan, Chun Shan, Qin Zhang, Jun Cheng, and Peng Xu. "Compressed Wavelet Tensor Attention Capsule Network." Security and Communication Networks 2021 (April 16, 2021): 1–12. http://dx.doi.org/10.1155/2021/9949204.

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Texture classification plays an important role for various computer vision tasks. Depending upon the powerful feature extraction capability, convolutional neural network (CNN)-based texture classification methods have attracted extensive attention. However, there still exist many challenges, such as the extraction of multilevel texture features and the exploration of multidirectional relationships. To address the problem, this paper proposes the compressed wavelet tensor attention capsule network (CWTACapsNet), which integrates multiscale wavelet decomposition, tensor attention blocks, and qua

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Sherwood, D., and N. Bershad. "Nonlinear quantization effects in the frequency domain complex scalar LMS adaptive algorithm." IEEE Transactions on Acoustics, Speech, and Signal Processing 34, no. 1 (1986): 140–51. http://dx.doi.org/10.1109/tassp.1986.1164795.

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Kang, Jung-Sun, and Sang-Jin Cho. "Audio Watermarking Using Quantization Index Modulation on Significant Peaks in Frequency Domain." Journal of the Acoustical Society of Korea 30, no. 6 (2011): 303–7. http://dx.doi.org/10.7776/ask.2011.30.6.303.

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Melman, A. S., P. O. Petrov, A. A. Shelupanov, A. V. Aristov, and Y. P. Pokholkov. "Embedding information into JPEG images with distortion masking in frequency domain." Proceedings of Tomsk State University of Control Systems and Radioelectronics 23, no. 4 (2020): 45–50. http://dx.doi.org/10.21293/1818-0442-2020-23-4-45-50.

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Steganography allows to ensure the confidentiality of information by organizing covert data transmission channels. However, the effectiveness of steganographic information protection directly depends on the invisibility of a secret message, both for the human eye and for steganalysis methods. The paper proposes an approach that allows solving the problem of vulnerability of the popular QIM embedding method to statistical steganalysis. For this, it is proposed to use a variable quantization step, which is adaptively selected for each block of the JPEG cover image. The experimental results demon

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Mityushov, A. I., S. A. Karpov, and V. A. Krilov. "ANALYSIS OF SPECTRAL CHARACTERISTICS OF SIGNALS AT OUTPUT OF INDUCTION LINK USING THREE-LEVEL QUANTIZATION." Issues of radio electronics, no. 6 (June 21, 2019): 99–103. http://dx.doi.org/10.21778/2218-5453-2019-6-99-103.

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The paper discusses a method of mathematical description of the processing results in a matched filter of an additive signal‑tonoise mixture using three‑level quantization, based on the representation of the processed signals as random three‑dimensional discrete vectors. To represent the values of three‑level signals, two digits are sufficient, which can significantly reduce the complexity, size, weight and cost of equipment, increase its reliability, as well as reduce the speed requirements of digital signal processors. To assess the capabilities and features of the frequency selection of thr

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Wang, Yong Qi, and Chen Deng. "An Audio Watermark Algorithm in Wavelet Domain Based on SVM." Applied Mechanics and Materials 157-158 (February 2012): 1346–49. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.1346.

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This paper proposed an audio watermark algorithm with synchronization in wavelet domain based on support vector machine. The synchronization code and encrypted digital watermark are embedded into the low frequency coefficients in DWT domain by using quantization modulation, the image watermark and the synchronization code are extracted through SVM possessing two-class problem. The experimental results show that the audio watermarking scheme is inaudible, but also robust against noise adding, filtering, random cropping attacks.

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Solomon, O. M. "The effects of windowing and quantization error on the amplitude of frequency-domain functions." IEEE Transactions on Instrumentation and Measurement 41, no. 6 (1992): 932–37. http://dx.doi.org/10.1109/19.199437.

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Dissertations / Theses on the topic "Frequency-domain Quantization"

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"A 280 mW, 0.07 % THD+N Class-D Audio Amplifier Using a Frequency-Domain Quantizer." Doctoral diss., 2011. http://hdl.handle.net/2286/R.I.9517.

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abstract: Pulse Density Modulation- (PDM-) based class-D amplifiers can reduce non-linearity and tonal content due to carrier signal in Pulse Width Modulation - (PWM-) based amplifiers. However, their low-voltage analog implementations also require a linear- loop filter and a quantizer. A PDM-based class-D audio amplifier using a frequency-domain quantization is presented in this paper. The digital-intensive frequency domain approach achieves high linearity under low-supply regimes. An analog comparator and a single-bit quantizer are replaced with a Current-Controlled Oscillator- (ICO-) based

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Ribeiro, Filipe Jorge Bolas Casal. "Approaching universal frequency reuse through base station cooperation." Doctoral thesis, 2017. http://hdl.handle.net/10071/15214.

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Base Station (BS) architectures are a promising cellular wireless solution to mitigate the interference issues and to avoid the high frequency reuse factors implemented in conventional systems. Combined with block transmission techniques, such as Orthogonal Frequency-Division Multiplexing (OFDM) for the downlink and Single-Carrier with Frequency-Domain Equalization (SC-FDE) for the uplink, these systems provide a significant performance improvement to the overall system. Block transmission techniques are suitable for broadband wireless communication systems, which have to deal with stron

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Book chapters on the topic "Frequency-domain Quantization"

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Brock, Fred V., and Scott J. Richardson. "Sampling and Analog-to-Digital Conversion." In Meteorological Measurement Systems. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195134513.003.0015.

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Along the signal path from the atmosphere, through the sensors and the data logger to the final archive, the signal quality may be irreversibly comprised. These faults include aliasing caused by poor sampling practice and quantization in an analog to- digital converter. Aliasing and quantization will be defined in this chapter. Drift in some of the system parameters, such as temperature sensitivity, is generally preventable but is not always reversible. Sampling of a signal occurs in the time domain and, frequently, in the space domain with one, two, or three dimensions. In the time domain, the time interval between successive points is called the sampling interval and the data logger controls this interval. When two or more sensors are distributed, vertically, along a mast then the system is sampling both in the time domain and in the space domain. When multiple measurements are arrayed along the surface of the earth, the sampling is occurring in time and in two or three space dimensions. Most meteorological systems are undersampled both in time and space. Space undersampling is an economic necessity. The consequence of undersampling is that frequencies above a certain limit, called the Nyquist frequency, will appear at lower frequencies and this is an irreversible effect. Quantization occurs when the signal is converted from analog to digital in the analog-to-digital converter. Since the range of the converter is expressed in a finite number of digital states, signal amplitudes smaller than this quantity will be lost. This is another irreversible effect. These are not the only irreversible effects. For example, drift is caused by physical changes in a sensor or other component of the measurement system. Drift may have a causal component, such as undocumented temperature sensitivity, and a random component such as wearing of an anemometer bearing. The former is theoretically preventable and reversible, whereas the latter is irreversible. Each element of the system may include some signal averaging, and each element may add bias and gain. As noted in earlier chapters, a sensor is a transducer, a device that changes energy from one form to another.

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Conference papers on the topic "Frequency-domain Quantization"

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Soodmand, Soheyl, Kevin A. Morris, and Mark A. Beach. "Quantization of Impedance Stability in Frequency Domain." In 2021 9th International Electrical Engineering Congress (iEECON). IEEE, 2021. http://dx.doi.org/10.1109/ieecon51072.2021.9440280.

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Bäckström, Tom, Johannes Fischer, and Sneha Das. "Dithered Quantization for Frequency-Domain Speech and Audio Coding." In Interspeech 2018. ISCA, 2018. http://dx.doi.org/10.21437/interspeech.2018-46.

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Pomeroy, Simon C., and James A. Flint. "A benchmark to quantify frequency domain errors from spatial quantization in time domain models." In Propagation Conference (LAPC). IEEE, 2010. http://dx.doi.org/10.1109/lapc.2010.5666916.

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Khademi, Nima, Mohammad A. Akhaee, Seyed Mohammad Ahadi, Maziar Moradi, and Amir Kashi. "Audio Watermarking based on Quantization Index Modulation in the Frequency Domain." In 2007 IEEE International Conference on Signal Processing and Communications. IEEE, 2007. http://dx.doi.org/10.1109/icspc.2007.4728522.

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Sun, Weiyi, Hanqing Zeng, Yi-hua Edward Yang, and Viktor Prasanna. "Throughput-Optimized Frequency Domain CNN with Fixed-Point Quantization on FPGA." In 2018 International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE, 2018. http://dx.doi.org/10.1109/reconfig.2018.8641716.

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Alrasheed, Waleed, and Wasfy B. Mikhael. "A facial recognition technique employing Frequency Domain Thresholding and Quantization (FD-TQ)." In 2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2012. http://dx.doi.org/10.1109/mwscas.2012.6292199.

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Algra, Theo. "A SAR raw data compressor using frequency domain entropy-constrained block adaptive quantization." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2005. http://dx.doi.org/10.1117/12.627504.

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Lillo, Antonella Di, Giovanni Motta, and James A. Storer. "Multiresolution Rotation-Invariant Texture Classification Using Feature Extraction in the Frequency Domain and Vector Quantization." In 2008 Data Compression Conference DCC. IEEE, 2008. http://dx.doi.org/10.1109/dcc.2008.108.

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He, Yifan, Jinshan Yue, Yongpan Liu, and Huazhong Yang. "Block-Circulant Neural Network Accelerator Featuring Fine-Grained Frequency-Domain Quantization and Reconfigurable FFT Modules." In ASPDAC '21: 26th Asia and South Pacific Design Automation Conference. ACM, 2021. http://dx.doi.org/10.1145/3394885.3431532.

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Feng Yang, Xiangshun Jiang, Jianhao Hu, and Shaoqian Li. "Design of frequency domain A/D conversion based UWB receiver in the presence of quantization noise." In 2008 International Conference on Communications, Circuits and Systems (ICCCAS). IEEE, 2008. http://dx.doi.org/10.1109/icccas.2008.4657784.

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