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Journal articles on the topic 'Log-domain filter'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Georgiou, P., and C. Toumazou. "Chemical log-domain filter." Electronics Letters 45, no. 8 (2009): 391. http://dx.doi.org/10.1049/el.2009.0152.

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2

Kasimis, Chrisostomos, George Souliotis, and Costas Psychalinos. "Novel log-domain frequency-adaptive filter." International Journal of Electronics 99, no. 2 (2012): 197–209. http://dx.doi.org/10.1080/00207217.2011.623273.

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3

FRAGOULIS, NIKOS, GEORGE SOULIOTIS, and KONSTANTINE GIANNAKOPOULOS. "A LOG-DOMAIN WAVE POSITIVE IMPEDANCE INVERTER." Journal of Circuits, Systems and Computers 17, no. 04 (2008): 561–67. http://dx.doi.org/10.1142/s0218126608004502.

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A new log-domain building block for log-domain filter design is proposed in this paper. This block realizes a positive impedance inverter (gyrator) by using the log-domain wave method. A simple procedure for log-domain filter development, using the proposed block, is outlined. This method results in circuits, which are simple in structure and very easy to design. An example of a second-order bandpass filter is given and its functionality is verified through simulations.

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4

WU, JIE, and EZZ I. EL-MASRY. "Log-domain synthesis of annth-order filter." International Journal of Electronics 84, no. 4 (1998): 359–69. http://dx.doi.org/10.1080/002072198134715.

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5

Frey, D. R., and E. M. Drakakis. "Unifying perspective on log-domain filter synthesis." Electronics Letters 45, no. 17 (2009): 861. http://dx.doi.org/10.1049/el.2009.1960.

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6

Toumazou, C., J. Ngarmnil, and T. S. Lande. "Micropower log-domain filter for electronic cochlea." Electronics Letters 30, no. 22 (1994): 1839–41. http://dx.doi.org/10.1049/el:19941284.

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7

Liu, Shen-Iuan, and Yu-Hung Liao. "Table-based log-domain linear transformation filter." Electronics Letters 32, no. 19 (1996): 1771. http://dx.doi.org/10.1049/el:19961181.

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8

Mahattanakul, J., and C. Toumazou. "Modular log-domain filters based upon linear Gm-C filter synthesis." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 46, no. 12 (1999): 1421–30. http://dx.doi.org/10.1109/81.809544.

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9

Kircay, Ali, and Ugur Cam. "A Novel Log-Domain First-Order Multifunction Filter." ETRI Journal 28, no. 3 (2006): 401–4. http://dx.doi.org/10.4218/etrij.06.0205.0117.

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10

Shah, Nisar Ahmad, and Farooq Ahmad Khanday. "Log-domain synthesis of nth order universal filter." Analog Integrated Circuits and Signal Processing 59, no. 3 (2008): 309–15. http://dx.doi.org/10.1007/s10470-008-9258-6.

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11

Shah, N. A., S. Z. Iqbal, and Nusrat Parveen. "Log-domain all pass filter based on integrators." Analog Integrated Circuits and Signal Processing 67, no. 1 (2010): 85–88. http://dx.doi.org/10.1007/s10470-010-9584-3.

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12

Punzenberger, M., and C. C. Enz. "A compact low-power BiCMOS log-domain filter." IEEE Journal of Solid-State Circuits 33, no. 7 (1998): 1123–29. http://dx.doi.org/10.1109/4.701278.

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13

Frey, D. R., and Y. P. Tsividis. "Syllabically companding log domain filter using dynamic biasing." Electronics Letters 33, no. 18 (1997): 1506. http://dx.doi.org/10.1049/el:19971043.

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14

Kircay, Ali, and Ugur Cam. "A novel first-order log-domain allpass filter." AEU - International Journal of Electronics and Communications 60, no. 6 (2006): 471–74. http://dx.doi.org/10.1016/j.aeue.2005.06.003.

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15

Gentner, Christian, Siwei Zhang, and Thomas Jost. "Log-PF: Particle Filtering in Logarithm Domain." Journal of Electrical and Computer Engineering 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/5763461.

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This paper presents a particle filter, called Log-PF, based on particle weights represented on a logarithmic scale. In practical systems, particle weights may approach numbers close to zero which can cause numerical problems. Therefore, calculations using particle weights and probability densities in the logarithmic domain provide more accurate results. Additionally, calculations in logarithmic domain improve the computational efficiency for distributions containing exponentials or products of functions. To provide efficient calculations, the Log-PF exploits the Jacobian logarithm that is used

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16

Fox, R. M., and M. Nagarajan. "Multiple operating points in a CMOS log-domain filter." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 46, no. 6 (1999): 705–10. http://dx.doi.org/10.1109/82.769779.

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17

Ferrer, E., and R. M. Fox. "Limit-cycle oscillations in a log-domain-based filter." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 46, no. 6 (1999): 832–36. http://dx.doi.org/10.1109/82.769794.

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18

Ma, Sheng Qian, Li Rong Zheng, Yong Jie Ma, Wei Zhao Zhang, and Zhi Feng Ma. "Design of the adaptive log-domain low-pass filter." MATEC Web of Conferences 44 (2016): 01034. http://dx.doi.org/10.1051/matecconf/20164401034.

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19

Sabir, Dilshad, Muhammmad Abdullah Hanif, Ali Hassan, Saad Rehman, and Muhammad Shafique. "Weight Quantization Retraining for Sparse and Compressed Spatial Domain Correlation Filters." Electronics 10, no. 3 (2021): 351. http://dx.doi.org/10.3390/electronics10030351.

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Using Spatial Domain Correlation Pattern Recognition (CPR) in Internet-of-Things (IoT)-based applications often faces constraints, like inadequate computational resources and limited memory. To reduce the computation workload of inference due to large spatial-domain CPR filters and convert filter weights into hardware-friendly data-types, this paper introduces the power-of-two (Po2) and dynamic-fixed-point (DFP) quantization techniques for weight compression and the sparsity induction in filters. Weight quantization re-training (WQR), the log-polar, and the inverse log-polar geometric transfor

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20

Shah, N. A., and F. A. Khanday. "A Generic Current Mode Design for Multifunction Grounded Capacitor Filters Employing Log-Domain Technique." Active and Passive Electronic Components 2011 (2011): 1–10. http://dx.doi.org/10.1155/2011/313580.

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A generic design (GD) for realizing annth order log-domain multifunction filter (MFF), which can yield four possible stable filter configurations, each offering simultaneously lowpass (LP), highpass (HP), and bandpass (BP) frequency responses, is presented. The features of these filters are very simple, consisting of merely a few exponential transconductor cells and capacitors; all grounded elements, capable of absorbing the shunt parasitic capacitances, responses are electronically tuneable, and suitable for monolithic integration. Furthermore, being designed using log-domain technique, it of

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21

Kircay, A., and U. Cam. "Differential Type Class-AB Second-Order Log-Domain Notch Filter." IEEE Transactions on Circuits and Systems I: Regular Papers 55, no. 5 (2008): 1203–12. http://dx.doi.org/10.1109/tcsi.2008.916458.

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22

López-MartÍn, Antonio J., Rubén Fernández, Carlos A. de la Cruz Blas, and Alfonso Carlosena. "A 1 V Micropower FGMOS Class AB Log-Domain Filter." Analog Integrated Circuits and Signal Processing 41, no. 2/3 (2004): 137–45. http://dx.doi.org/10.1023/b:alog.0000041631.38645.c7.

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23

Fares, Osama O. "Log-domain electronically-tuneable fully differential high order multi-function filter." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1263. http://dx.doi.org/10.11591/ijece.v10i2.pp1263-1272.

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This paper presents the synthesis of fully deferential circuit that is capable of performing simultaneous high-pass, low-pass, and band-pass filtering in the log domain. The circuit utilizes modified Seevinck’s integrators in the current mode. The transfer function describing the filter is first presented in the form of a canonical signal flow graph through applying Mason’s gain formula. The resulting signal flow graph consists of summing points and pick-off points associated with current mode integrators within unity-gain negative feedback loops. The summing points and the pick-off points are

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24

Punzenberger, M., and C. C. Enz. "A 1.2-V low-power BiCMOS class AB log-domain filter." IEEE Journal of Solid-State Circuits 32, no. 12 (1997): 1968–78. http://dx.doi.org/10.1109/4.643655.

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25

Python, D., and C. C. Enz. "A micropower class-AB CMOS log-domain filter for DECT applications." IEEE Journal of Solid-State Circuits 36, no. 7 (2001): 1067–75. http://dx.doi.org/10.1109/4.933462.

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26

Ascoli, Alon, Orla Feely, and Paul Curran. "On the Chaotic Behavior of a Third-Order Log-Domain Filter." Nonlinear Dynamics 44, no. 1-4 (2006): 45–54. http://dx.doi.org/10.1007/s11071-006-1934-4.

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27

Gul, Tuba Nur, and Ali Kircay. "The Design of Fifth-Order Butterworth Lowpass Log-Domain Filter for Bluetooth/Wi-Fi Receiver Using Signal Flow Graph Method." Journal of Circuits, Systems and Computers 26, no. 01 (2016): 1750011. http://dx.doi.org/10.1142/s0218126617500116.

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In this study, a fifth-order lowpass log-domain Butterworth filter, which is appropriate for Bluetooth/Wi-Fi receiver, is designed with signal flow graph approach. The filter is realized by using a unique translinear integrator circuit. Bluetooth and Wi-Fi modes are obtained without changing the circuit configuration. To change the mode of the filter, it is needed to change the cutoff frequency of the filter that can be electronically tuned by adjusting the external currents. Wi-Fi and Bluetooth receivers have 6[Formula: see text]MHz and 600[Formula: see text]kHz cutoff frequencies, respective

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28

Jain, Manoj Kumar, and Vinod Kumar Singh. "New Log-Domain First-Order Multifunction Filter Using MOSFETs in Weak Inversion." Circuits and Systems 07, no. 11 (2016): 3522–30. http://dx.doi.org/10.4236/cs.2016.711299.

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29

Teplechuk, M. A., and J. I. Sewell. "Approximation of arbitrary complex filter responses and their realisation in log domain." IEE Proceedings - Circuits, Devices and Systems 153, no. 6 (2006): 583. http://dx.doi.org/10.1049/ip-cds:20060021.

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30

Manetti, Stefano, and Maria Cristina Piccirilli. "Log-Domain Filter Design Based on Impedance Scaling of LC Ladder Structures." Circuits, Systems, and Signal Processing 30, no. 2 (2010): 371–89. http://dx.doi.org/10.1007/s00034-010-9227-z.

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31

Leung, V. W., and G. W. Roberts. "Effects of transistor nonidealities on high-order log-domain ladder filter frequency responses." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 47, no. 5 (2000): 373–87. http://dx.doi.org/10.1109/82.842106.

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32

G., Hanumantha Rao, and Rekha S. "An area‐efficient, large time‐constant log‐domain filter for low‐frequency applications." International Journal of Circuit Theory and Applications 48, no. 2 (2019): 170–80. http://dx.doi.org/10.1002/cta.2726.

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33

Tola, Abdullah T., Remzi Arslanalp, and Saziye Surav Yilmaz. "Current mode high-frequency KHN filter employing differential class AB log domain integrator." AEU - International Journal of Electronics and Communications 63, no. 7 (2009): 600–608. http://dx.doi.org/10.1016/j.aeue.2008.04.015.

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34

Fomel, Sergey. "Seismic reflection data interpolation with differential offset and shot continuation." GEOPHYSICS 68, no. 2 (2003): 733–44. http://dx.doi.org/10.1190/1.1567243.

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I propose a finite‐difference offset‐continuation filter for interpolating seismic reflection data. The filter is constructed from the offset‐continuation differential equation and is applied on frequency slices in the log‐stretch frequency domain. Synthetic and real data tests demonstrate that the proposed method succeeds in structurally complex situations where more simplistic approaches fail.

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35

Ip, Henry Man D., Emmanuel Mic Drakakis, and Anil A. Bharath. "A 19nW analogue CMOS log-domain 6th-order Bessel filter without E-minus cells." Microelectronics Journal 40, no. 8 (2009): 1170–74. http://dx.doi.org/10.1016/j.mejo.2009.01.008.

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36

Wang, Zheng. "Analysis of DNS Cache Effects on Query Distribution." Scientific World Journal 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/938418.

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This paper studies the DNS cache effects that occur on query distribution at the CN top-level domain (TLD) server. We first filter out the malformed DNS queries to purify the log data pollution according to six categories. A model for DNS resolution, more specifically DNS caching, is presented. We demonstrate the presence and magnitude of DNS cache effects and the cache sharing effects on the request distribution through analytic model and simulation. CN TLD log data results are provided and analyzed based on the cache model. The approximate TTL distribution for domain name is inferred quantif

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37

Drakakis, E. M., and A. J. Burdett. "Operational dc constraints for a class-a, third-order, observer canonical-form log-domain filter." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 50, no. 10 (2003): 1337–42. http://dx.doi.org/10.1109/tcsi.2003.816328.

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38

Victoria.L, Baby, and Sathappan S. "A sporadic decomposition of Hankel structured matrix in logarithmic and wavelet domain for impulse noise removal." International Journal of Engineering & Technology 7, no. 4 (2018): 2309. http://dx.doi.org/10.14419/ijet.v7i4.16694.

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Noise removal from the color images is the most significant and challenging task in image processing. Among different conventional filter methods, a robust Annihilating filter-based Low-rank Hankel matrix (r-ALOHA) approach was proposed as an impulse noise removal algorithm that uses the sparse and low-rank decomposition of a Hankel structured matrix to decompose the sparse impulse noise components from an original image. However, in this algorithm, the patch image was considered as it was sparse in the Fourier domain only. It requires an analysis of noise removal performance by considering th

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39

Gerosa, A., A. Maniero, and A. Neviani. "A Fully Integrated Dual-Channel Log-Domain Programmable Preamplifier and Filter for an Implantable Cardiac Pacemaker." IEEE Transactions on Circuits and Systems I: Regular Papers 51, no. 10 (2004): 1916–25. http://dx.doi.org/10.1109/tcsi.2004.835027.

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40

kircay, Ali, and Ugur Cam. "A new 5th-order differential type class-AB log-domain elliptic lowpass filter for video frequency applications." Analog Integrated Circuits and Signal Processing 60, no. 3 (2009): 221–29. http://dx.doi.org/10.1007/s10470-009-9292-z.

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41

Wang, K., T. Yu, Q. Y. Meng, G. K. Wang, S. P. Li, and S. H. Liu. "Edge Detection from High Resolution Remote Sensing Images using Two-Dimensional log Gabor Filter in Frequency Domain." IOP Conference Series: Earth and Environmental Science 17 (March 18, 2014): 012191. http://dx.doi.org/10.1088/1755-1315/17/1/012191.

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42

Garreton, Claudio, and Nestor Becerra Yoma. "Telephone Channel Compensation in Speaker Verification Using a Polynomial Approximation in the Log-Filter-Bank Energy Domain." IEEE Transactions on Audio, Speech, and Language Processing 20, no. 1 (2012): 336–41. http://dx.doi.org/10.1109/tasl.2011.2157495.

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43

AKITA, I., K. WADA, and Y. TADOKORO. "A 0.8-V Syllabic-Companding Log Domain Filter with 78-dB Dynamic Range in 0.35- m CMOS." IEICE Transactions on Electronics E91-C, no. 1 (2008): 87–95. http://dx.doi.org/10.1093/ietele/e91-c.1.87.

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44

Li, Shutao, Yaonan Wang, and Jie Wu. "Design of low-voltage and low-power fully integrated filter based on log-domain current-mode integrator." Journal of Electronics (China) 18, no. 4 (2001): 346–50. http://dx.doi.org/10.1007/s11767-001-0049-9.

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45

Brahara, Beni, Dedy Syamsuar, and Yesi Novaria Kunang. "Analysis of Malware Dns Attack on the Network Using Domain Name System Indicators." Journal of Information Systems and Informatics 2, no. 1 (2020): 131–53. http://dx.doi.org/10.33557/journalisi.v2i1.30.

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University of Bina Darma Palembang has its own DNS server and in this study using log data from the Bina Darma University DNS server as data in the study, DNS log server data is analyzed by network traffic, using Network Analyzer tools to see the activity of a normal traffic or anomaly traffic, or even contains DGA Malware (Generating Algorthm Domain).DGA malware produces a number of random domain names that are used to infiltrate DNS servers. To detect DGA using DNS traffic, NXDomain. The result is that each domain name in a group domain is generated by one domain that is often used at short

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46

Bickel, Samuel H. "Similarity and the inverse Q filter: The Pareto‐Levy stretch." GEOPHYSICS 58, no. 11 (1993): 1629–33. http://dx.doi.org/10.1190/1.1443378.

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The seismic impulse response of a constant Q attenuating material has the same mathematical form as the density function for the Pareto‐Levy probability law. Since this law is stable it follows that the seismic pulse is closed under convolution. This means that if the distance from the source x is the sum of two distances [Formula: see text] then the pulse at x is the convolution of the pulse at [Formula: see text] with the one at [Formula: see text]. Its amplitude is proportional to [Formula: see text] where the parameter [Formula: see text] depends only on Q with α = 1 corresponding to a los

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47

Liu, Xiao Gang, and Bing Zhao. "Based on the CO₂ Gas Shielded Welding Molten Pool Image Edge Detection Algorithm." Applied Mechanics and Materials 437 (October 2013): 840–44. http://dx.doi.org/10.4028/www.scientific.net/amm.437.840.

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This paper use the passive vision system through high-speed camera collects molten pool images; and then according to the frequency domain characteristics of the weld pool image Butterworth low-pass filter; gradient method for image enhancement obtained after pretreatment. Research Roberts, Sobel, Prewitt, Log, Zerocross, and Canny 6 both traditional differential operator edge detection processing results. Through comparison and analysis of choosing threshold for [0.1, 0. Canny operator can get the ideal molten pool edge character, for subsequent welding molten pool defect recognition provides

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48

Rector, James W., Spyros K. Lazaratos, Jerry M. Harris, and Mark Van Schaack. "High‐resolution crosswell imaging of a west Texas carbonate reservoir: Part 3—Wavefield separation of reflections." GEOPHYSICS 60, no. 3 (1995): 692–701. http://dx.doi.org/10.1190/1.1443808.

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Using crosswell data collected at a depth of about 3000 ft (900 m) in west Texas carbonates, one of the first well‐to‐well reflection images of an oil reservoir was produced. The P and S brute stack reflection images created after wavefield separation tied the sonic logs and exhibited a vertical resolution that was comparable to well log resolution. Both brute stacks demonstrated continuity of several reflectors known to be continuous from log control and also imaged an angular unconformity that was not detected in log correlations or in surface seismic profiling. The brute stacks, particularl

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49

Shabestari, Khosrow T., and Fumio Yamazaki. "A Proposal of Instrumental Seismic Intensity Scale Compatible with MMI Evaluated from Three-Component Acceleration Records." Earthquake Spectra 17, no. 4 (2001): 711–23. http://dx.doi.org/10.1193/1.1425814.

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Seismic intensity provides useful information on the regional distribution of earthquake effects and has been used to assess seismic hazards and damages. The concept of intensity has been considered as a method to classify severity of the ground motion on the basis of observed effects in the stricken area. In 1996, the Japan Meteorological Agency (JMA) developed a new seismic intensity measurement scale using three-component strong ground motion records in order to provide a measure of the strength of the seismic motion, which is compatible with the existing JMA intensity scale. By applying a

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50

Dai, Peng, Ing Yann Soon, and Rui Tao. "Direct Recovery of Clean Speech Using a Hybrid Noise Suppression Algorithm for Robust Speech Recognition System." ISRN Signal Processing 2012 (December 26, 2012): 1–9. http://dx.doi.org/10.5402/2012/306305.

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A new log-power domain feature enhancement algorithm named NLPS is developed. It consists of two parts, direct solution of nonlinear system model and log-power subtraction. In contrast to other methods, the proposed algorithm does not need prior speech/noise statistical model. Instead, it works by direct solution of the nonlinear function derived from the speech recognition system. Separate steps are utilized to refine the accuracy of estimated cepstrum by log-power subtraction, which is the second part of the proposed algorithm. The proposed algorithm manages to solve the speech probability d

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