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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 developed for designing the quantized fault detection observer. And a numerical example is given to illustrate the effectiveness of the proposed method.

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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 model evaluates properly such a standard deviation by treating the quantization with a Fourier series approach. On the other hand, it is shown that the conventional noise model of quantization would lead to a large underestimation of the error standard deviation. The effects of measurement parameters, such as the number of samples and a kind of the time window, are also investigated. Finally, a threshold for the additive noise is provided as the boundary for validity of the two quantization models

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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, we derive the relationship equation between the frequency error and the S/N ratio. The results obtained by computer simulation of experimental conditions (i.e., sampling, quantization, windowing, FFT, and interpolation) for the Hanning window (α = 2) agree well with the theoretical calculations; the frequency errors decrease with increasing bit-length of the A/D converter. These observed errors are unavoidable because A/D converters are indispensable for measurements with Fourier transform spectrometers. Furthermore, as shown theoretically, the observed accuracy of interpolation is inversely proportional to the S/N ratio, provided that the S/N ratio is below the value due to quantization and windowing.

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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 quantization techniques into the framework of capsule neural network. Specifically, the multilevel wavelet decomposition is in charge of extracting multiscale spectral features in frequency domain; in addition, the tensor attention blocks explore the multidimensional dependencies of convolutional feature channels, and the quantization techniques make the computational storage complexities be suitable for edge computing requirements. The proposed CWTACapsNet provides an efficient way to explore spatial domain features, frequency domain features, and their dependencies which are useful for most texture classification tasks. Furthermore, CWTACapsNet benefits from quantization techniques and is suitable for edge computing applications. Experimental results on several texture datasets show that the proposed CWTACapsNet outperforms the state-of-the-art texture classification methods not only in accuracy but also in robustness.

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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 demonstrate an increase in the security level of steganographic embedding due to the application of the proposed approach.

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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 three‑level signals, a comparison of the signal spectra with multilevel and three‑level quantization is performed. Calculations showed that three‑level quantization allows processing in the frequency domain. This allows us to conclude about the prospects of an appropriate research direction, in particular, for solving the problems of detecting airborne targets in radar.

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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 frequency discriminator. By using the ICO as a phase integrator, a third-order noise shaping is achieved using only two analog integrators. A single-loop, singlebit class-D audio amplifier is presented with an H-bridge switching power stage, which is designed and fabricated on a 0.18 um CMOS process, with 6 layers of metal achieving a total harmonic distortion plus noise (THD+N) of 0.065% and a peak power efficiency of 80% while driving a 4-ohms loudspeaker load. The amplifier can deliver the output power of 280 mW.<br>Dissertation/Thesis<br>Ph.D. Electrical Engineering 2011

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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 strongly frequency-selective fading channels and are able to provide high bit rates despite the channel adversities. In BS cooperation schemes users in adjacent cells share the same physical channel and the signals received by each BS are sent to a Central Processing Unit (CPU) that combines the different signals and performs the user detections and/or separation, which can be regarded as a Multi-User Detection (MUD) technique. The work presented in this thesis is focused on the study of uplink transmissions in BS cooperations systems, considering single carrier block transmission schemes and iterative receivers based on the Iterative-Block Decision Feedback Equalization (IB-DFE) concept, which combined with the employment of Cyclic Prefix (CP)-assisted block transmission techniques are appropriate to scenarios with strongly time-dispersive channels. Furthermore, the impact of the sampling and quantization applied to the received signals from each Mobile Terminal (MT) to the corresponding BS is studied, with the achievement of the spectral characterization of the quantization noise. This thesis also provides a conventional analytical model for the BER (Bit Error Rate) performance complemented with an approach to improve its results. Finally, this thesis addresses the contextualization of BS cooperation schemes in clustered C-RAN (Centralized-Radio Access Network)-type solutions.<br>As arquitecturas BS cooperation são uma solução promissora de redes celulares sem fios para atenuar o problema da interferência e evitar os factores de reuso elevados, que se encontram implementados nos sistemas convencionais. Combinadas com técnicas de transmissão por blocos, como o OFDM para o downlink e o SC-FDE no uplink, estes sistemas fornecem uma melhoria significativa no desempenho geral do sistema. Técnicas de transmissão por blocos são adequadas para sistemas de comunicações de banda larga sem fios, que têm que lidar com canais que possuem um forte desvanescimento selectivo na frequência e são capazes de fornecer ligações com taxas de transmissão altas apesar das adversidades do canal. Em esquemas BS cooperation os terminais móveis situados em células adjacentes partilham o mesmo canal físico e os sinais recebidos em cada estação de base são enviados para uma Unidade Central de Processamento (CPU) que combina os diferentes sinais recebidos associados a um dado utilizador e realiza a detecção e/ou separação do mesmo, sendo esta considerada uma técnica de Detecção Multi-Utilizador (MUD). O trabalho apresentado nesta tese concentra o seu estudo no uplink de transmissões em sistemas BS cooperation, considerando transmissões em bloco de esquemas monoportadoras e receptores iterativos baseados no conceito B-DFE, em que quando combinados com a implementação de técnicas de transmissao por blocos assistidas por prefixos cíclicos (CP) são apropriados a cenários com canais fortemente dispersivos no tempo. Além disso, é estudado o impacto do processo de amostragem e quantização aplicados aos sinais recebidos de cada terminal móvel para a estação de base, com a obtenção da caracterização espectral do ruído de quantização. Esta tese também fornece um modelo analítico convencional para a computação do desempenho da taxa de erros de bit (BER), com um método melhorado para o mesmo. Por último, esta tese visa a contextualização dos sistemas BS cooperation em soluções do tipo C-RAN.

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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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