Academic literature on the topic 'Frequency filters'

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Journal articles on the topic "Frequency filters"

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Trantham, E. Clark. "Minimum uncertainty filters for pulses." GEOPHYSICS 58, no. 6 (June 1993): 853–62. http://dx.doi.org/10.1190/1.1443469.

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The objective of this paper is to calculate filters with a minimum uncertainty, the product of filter length and bandwidth. The method is applicable to producing minimum uncertainty filters with time or frequency domain constraints on the filter. The calculus of variations is used to derive the conditions that minimize a filter’s uncertainty. The general solution is a linear combination of Hermite functions, where the Hermite functions are summed from low to high order until the filter’s constraints are met. Filters constrained to have zero amplitude at zero hertz have an uncertainty at least three times greater than expected from the uncertainty principle, and the minimum uncertainty filter is a first derivative Gaussian. For the previous filter, the minimum uncertainty high cut filter is a Gaussian function of frequency, but the minimum uncertainty low cut filter is a linear function of frequency.
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Bader, Milad, Robert G. Clapp, and Biondo Biondi. "Denoising for full-waveform inversion with expanded prediction-error filters." GEOPHYSICS 86, no. 5 (August 31, 2021): V445—V457. http://dx.doi.org/10.1190/geo2020-0573.1.

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Low-frequency data of less than 5 Hz are essential to the convergence of full-waveform inversion (FWI) toward a useful solution. They help to build the velocity model low wavenumbers and reduce the risk of cycle skipping. In marine environments, low-frequency data are characterized by a low signal-to-noise ratio (S/N) and can lead to erroneous models when inverted, especially if the noise contains coherent components. Often, field data are high-pass filtered before any processing step, sacrificing weak but essential signal for FWI. We have denoised the low-frequency data using prediction-error filters that we estimate from a high-frequency component with a high S/N. The constructed filter captures the multidimensional spectrum of the high-frequency signal. We expand the filter’s axes in the time-space domain to compress its spectrum toward the low frequencies and wavenumbers. The expanded filter becomes a predictor of the target low-frequency signal, and we incorporate it in a minimization scheme to attenuate noise. To account for data nonstationarity while retaining the simplicity of stationary filters, we divide the data into nonoverlapping patches and linearly interpolate stationary filters at each data sample. We apply our method to synthetic stationary and nonstationary data, and we find that it improves the FWI results initialized at 2.5 Hz using the Marmousi model. We also demonstrate that the denoising attenuates nonstationary shear energy recorded by the vertical component of ocean-bottom nodes.
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Li, Luping, Lijuan Dong, Peng Chen, and Kai Yang. "Multi-band rejection filters based on spoof surface plasmon polaritons and folded split-ring resonators." International Journal of Microwave and Wireless Technologies 11, no. 08 (April 17, 2019): 774–81. http://dx.doi.org/10.1017/s1759078719000369.

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AbstractA dualband rejection filter and a triband rejection filter are proposed in this letter, both of which are implemented by cascading spoof surface plasmon polaritons (SSPPs) of the same structure but with diverse rejection bands. Compared with traditional ones, the proposed filters provide more compact structures, wider rejection bands, and better independent tunability. In the proposed filters, the rejection bandwidth, the center frequency of the rejection band and the filter's cutoff frequency can be adjusted independently. And the different rejection bands in the same filter also can be independently controlled. Agreements between the dispersion of SSPP units and the S21 of filters are also presented. Measurement results demonstrate that both filters load multiple rejection bands on the 27.7 GHz wide low-pass band and all the rejection bands locate in Ku and K bands. The average rejection bandwidth and the average rejection depth of the two filters are 1.49 GHz and 42.1 dB, respectively.
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Abdolvand, Reza, and Farrokh Ayazi. "High-frequency monolithic thin-film piezoelectric-on-substrate filters." International Journal of Microwave and Wireless Technologies 1, no. 1 (February 2009): 29–35. http://dx.doi.org/10.1017/s175907870900004x.

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A class of micromachined acoustic filters is presented in which the number of individual resonant structures is reduced to 1 (monolithic filter). This resonant structure is comprised of a stack of thin-film piezoelectric-on-silicon. Symmetric and anti-symmetric resonance modes (dual modes) of the silicon structure are piezoelectrically excited and coupled to realize a 2-pole narrowband filter. High-order lateral bulk acoustic resonance modes of a rectangular plate are utilized to design dispersed-frequency UHF filters fabricated on a single substrate. Thickness mode filters are also realized at GHz frequencies using a new interdigitated electrode design. Additionally, it is shown that the filter bandwidth can be controlled by changing the dimensions of the resonant structure and the electrode pattern. Narrowband lateral mode filters with filter Q’s larger than 300 at ~440 MHz and thickness mode filters with filter Q’s in the range of 150–900 at ~3.1 GHz are demonstrated.
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Smirnov, A. V. "Optimization of digital filters performances simultaneously in frequency and time domains." Russian Technological Journal 8, no. 6 (December 18, 2020): 63–77. http://dx.doi.org/10.32362/2500-316x-2020-8-6-63-77.

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Wide used method of digital filters design consists in transformation of analog filter-prototype with required performances into digital filter. This method is applicable if the transformation preserves optimality of filter performances under specified set of quality indexes (QI). It was denoted earlier that such situation is possible when gain-frequency response (GFR) and phase-frequency response are optimized simultaneously. The task of simultaneous optimization of digital filters GFR and step response (SR) is also important but yet a little explored. Alternative method of this problem solving consists in search of digital filter transfer function (TF) which is optimal under GFR and SR QI’s. To investigate capabilities of the first method we found examples of analog filters Pareto-optimal under rise time and transient duration. Other QI’s of these filters fulfilled specified constraints. Then these filters were transformed into digital filters. Bilinear transformation and transformation with invariant impulse response were applied. Further we did the search of digital filters optimal under the same set of QI’s. In either method the hybrid heuristic algorithm was applied for search optimal solutions in the space of TF poles and zeroes coordinates. The results of investigation demonstrated that digital filters developed via search are superiorly under specified set of QI’s then digital filters developed via transformation of analog filters. Accordingly Pareto-optimality for QI of GFR and SR is not preserved during such transformation and direct search must be applied to optimized digital filters simultaneously in frequency and time domains. Further in some cases analog filters developed via reverse bilinear transformation of the found optimal digital filters are superiorly under the same set of QI’s then analog filters developed using search. In such cases using of digital filter-prototypes for design of analog filters is practical.
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GUSTAFSSON, OSCAR, HÅKAN JOHANSSON, and LARS WANHAMMAR. "SINGLE FILTER FREQUENCY-RESPONSE MASKING FIR FILTERS." Journal of Circuits, Systems and Computers 12, no. 05 (October 2003): 601–30. http://dx.doi.org/10.1142/s0218126603001094.

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In this work filter structures that decrease the required number of multipliers and adders for implementation of linear-phase FIR filters using frequency-response masking techniques are introduced. The basic idea of the proposed structures is that identical subfilters are used. This leads to the same arithmetic structure can be multiplexed in the implementation, reducing the number of required multipliers and adders. The subfilters are mapped using the folding transformation to obtain an area-efficient time-multiplexed (or pipeline/interleaved) implementation. Both narrow-band and wide-band frequency-response masking as well as arbitrary bandwidth frequency-response masking techniques are considered. The filter design is discussed and for each filter structure the limits on the specifications are derived. Designed examples show the usefulness of the proposed structures.
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Schlecht, Sebastian J. "Frequency-Dependent Schroeder Allpass Filters." Applied Sciences 10, no. 1 (December 25, 2019): 187. http://dx.doi.org/10.3390/app10010187.

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Since the introduction of feedforward–feedback comb allpass filters by Schroeder and Logan, its popularity has not diminished due to its computational efficiency and versatile applicability in artificial reverberation, decorrelation, and dispersive system design. In this work, we present an extension to the Schroeder allpass filter by introducing frequency-dependent feedforward and feedback gains while maintaining the allpass characteristic. By this, we directly improve upon the design of Dahl and Jot which exhibits a frequency-dependent absorption but does not preserve the allpass property. At the same time, we also improve upon Gerzon’s allpass filter as our design is both less restrictive and computationally more efficient. We provide a complete derivation of the filter structure and its properties. Furthermore, we illustrate the usefulness of the structure by designing an allpass decorrelation filter with frequency-dependent decay characteristics.
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Milic, Ljiljana, and Tapio Saramaki. "Power-complementary IIR filter pairs with an adjustable crossover frequency." Facta universitatis - series: Electronics and Energetics 16, no. 3 (2003): 295–304. http://dx.doi.org/10.2298/fuee0303295m.

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This paper introduces two classes of power-complementary recursive low-pass/high-pass filter pairs with an adjustable crossover frequency in such a way that the stopband attenuation of both filters remains the same. For each class, the filter pair is constructed using two all-pass sub-filters as building blocks. Based on the properties elliptic minimal Q-factors transfer functions, simple expressions are derived for evaluating the coefficients in all-pass sections in order to achieve the desired crossover frequency. The design procedures are developed for synthesizing power-complementary filter pairs implemented as a parallel connection of two all-pass sub-filters and for the tapped cascaded interconnections of two identical all-pass sub-filters. The direct parallel connection has both the power-complementary and all-pass complementary property. The second class of filters constructed using several identical copies of the two all-pass filters possesses the power-complementary property.
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Smirnov, A. V. "The analysis of conditions for preservation of gain-frequency and phase-frequency characteristics optimality under analog and digital filters transformation." Russian Technological Journal 8, no. 2 (April 14, 2020): 43–58. http://dx.doi.org/10.32362/2500-316x-2020-8-2-43-58.

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Prototype filters have wide usage for the design of filters with required quality indexes (QI) of gain-frequency response (GFR). The designed filter is obtained from a prototype filter b means of frequency transformation, which preserves these QI. But most of employed frequency transformations result in variations of QI of phase-frequency response (PFR). In this paper we proposed to use prototype filters that are Pareto-optimal for QI of GFR and PFR. Transfer functions of these filters may be found by means of heuristic optimization algorithms. This method will be efficient if the frequency transformation preserves the optimality of filters. It was shown that frequency transformation has this feature if it preserves the result of QI comparison (more or less) for filters with equal orders. Compliance of this criterion was checked for bilinear transformation of analog low pass filters (LPF) into digital LPF and for Konstantinidis transformation of digital LPF into other digital LPF. The analysis showed that Pareto-optimality for QI of GFR and PFR is preserved if the delay-frequency characteristic of the filter has a minimum at zero frequency and has a maximum at the upper boundary of the pass band. These conditions are complied for LPF with sufficiently small unevenness of GFR in the pass band and sufficiently fast decline of GFR at higher frequencies. Examples confirming these conclusions are given.
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Sessions, Deanna, Alexander Cook, Kazuko Fuchi, Andrew Gillman, Gregory Huff, and Philip Buskohl. "Origami-Inspired Frequency Selective Surface with Fixed Frequency Response under Folding." Sensors 19, no. 21 (November 5, 2019): 4808. http://dx.doi.org/10.3390/s19214808.

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Filtering of electromagnetic signals is key for improved signal to noise ratios for a broad class of devices. However, maintaining filter performance in systems undergoing large changes in shape can be challenging, due to the interdependency between element geometry, orientation and lattice spacing. To address this challenge, an origami-based, reconfigurable spatial X-band filter with consistent frequency filtering is presented. Direct-write additive manufacturing is used to print metallic Archimedean spiral elements in a lattice on the substrate. Elements in the lattice couple to one another and this results in a frequency selective surface acting as a stop-band filter at a target frequency. The lattice is designed to maintain the filtered frequency through multiple fold angles. The combined design, modeling, fabrication, and experimental characterization results of this study provide a set of guidelines for future design of physically reconfigurable filters exhibiting sustained performance.
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Dissertations / Theses on the topic "Frequency filters"

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Rosenbaum, Linnea. "On low-complexity frequency selective digital filters and filter banks." Doctoral thesis, Linköpings universitet, Elektroniksystem, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8930.

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En filterbank består av flera filter som arbetar tillsammans för att dela upp en signal i olika frekvensband. De kan också användas för att slå ihop signaler separerade i frekvensplanet till en enda. Sedan tidigt 70-tal har man lärt sig att designa förlustfria filterbankar som alltså inte introducerar några som helst fel i systemet. Sådana filterbankar kallas PR-filterbankar, där PR står för 'perfekt rekonstruktion'. Exempel på applikationer där filterbankar används är bildkodning, audiokodning, kommunikationssystem och omvandling av analoga signaler till digitala (A/D-omvandling). Under de senaste åren har det framkommit att genom att lätta på kraven gällande perfekt rekonstruktion, går det att markant minska den erforderliga aritmetiska komplexiteten. Eftersom de flesta system i sig inte är förlustfria, kan man utan att egentligen påverka den totala prestandan tillåta små fel i filterbanken, så l¨ange dessa fel är försumbara i jämförelse med andra felkällor som t.ex. kvantisering och avrundning. Avhandlingen behandlar digitala filter och likformiga icke-PR-filterbankar. Merparten av filterbankarna är realiserade med någon slags moduleringsteknik (cosinus-, sinus- eller komplexmodulering). Den röda tråden genom avhandlingen är kombinationen av tämligen smala övergångsband och samtidigt låg aritmetisk komplexitet. Ett sätt att uppnå denna kombination är att använda sig av en teknik som heter frekvenssvarsmaskning och förkortas FRM. Denna metod har på ett framgångsrikt sätt använts i avhandlingen. En potentiell nackdel med FRMmetoden är att den medför en längre fördröjning genom systemet. Därför föreslås också ett sätt att syntetisera FRM-filter med låg fördröjning. Här optimeras filtren både med avseende på komplexitet och fördröjning samtidigt. En annan metod som utnyttjats för att kombinera relativt smala övergångsband med låg aritmetisk komplexitet är att använda IIR filter istället för FIR filter. Ett flertal exempel på filter och filterbankar, optimerade och syntetiserade i Matlab, illustrerar fördelarna med de föreslagna filter- och filterbanks-klasserna.
Filter banks are systems of several filters with a common input or a common output. They are used whenever a signal needs to be split into different frequency bands. Since the early seventies, the theory of digital filter banks has developed to a mature state. Today there exist numerous ways to design filter banks for different applications, such as image and audio coding, transmultiplexing in communication systems, echo cancellation, and analog-to-digital (A/D) conversion systems. However, earlier work has to a large extent been on the transfer function level, whereas in this thesis work, efficient realizations, important in e.g. low-power applications, are in focus. Further, most of the previous work have been focused on the perfect reconstruction (PR) case, which is, for many applications an unnecessarily severe restriction. It has been show that by relaxing the requirements on perfect reconstruction, and allowing the filter banks to have some errors, the arithmetic complexity can be reduced significantly. This thesis treats digital filters and uniform non-PR filter banks. A major part of the filter banks are realized using different modulation schemes (complex, cosine, or sine modulation). The governing idea through the thesis is the combination of frequency selectivity and low arithmetic complexity. One example on how to achieve frequency selective digital filters and filter banks with low arithmetic complexity is to use the frequency-response masking (FRM) approach. This approach together with the idea of using IIR filters instead of FIR filters is successfully used in the thesis. The price to pay for the reduced arithmetic complexity using FRM filters is unfortunately a longer overall delay. Therefore, some work has ben done in the field of low-delay FRM FIR filters as well. These filters are optimized on both low delay and low arithmetic complexity simultaneously. A number of design examples are included in order to demonstrate the benefits of the new classes of filters and filter banks.
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Rosenbaum, Linnéa. "On low-complexity frequency selective digital filters and filter banks /." Linköping : Department of Eelectrical Engineering, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8930.

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Khumsat, Phanumas. "Transition frequency integration : technique for high frequency continuous-time filters." Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398200.

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Tingleff, Jens. "Current Mode Wave Active Filters : a topology for high frequency integrated filters." Thesis, Imperial College London, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337669.

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Köroğlu, Mustafa Hadi. "High frequency integrated filters for wireless applications." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/14458.

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Mahattanakul, Jirayuth. "High frequency, low distortion current-mode filters." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300970.

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Phudpong, Padisan. "Nonlinear microwave filters for frequency selective limiting." Thesis, University of Leeds, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487749.

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This thesis presents a new method for suppressing interfering signals in wideband microwave receivers, such as electronic support measure (ESM) systems. ESM systems operate over a wide dynamic range and RF bandwidth in a dense signal environment, where large amplitude interfering signals of unknown frequency make it difficult to detect and identify signals of interest.
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Kula, Jeffrey Scott. "Reconfigurable Band Rejection Frequency Selective Structures." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1545336272765337.

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Ribner, David B. (David Byrd) Carleton University Dissertation Engineering Electrical. "Design considerations for high-frequency switched-capacitor filters." Ottawa, 1985.

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Greer, N. P. J. "The design of high frequency transconductor ladder filters." Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/14951.

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A brief survey of filter technologies is given and the requirement for a high frequency continuous time monolithic filtering capability is identified. The ideal transconductor is defined and is compared to the other most common forms of integrated amplifier. A distinction is drawn between 'open loop' and 'closed loop' transconductor integrators. Although closed loop integrators have several advantages, filters using open loop integrators are emphasised since they have greater potential for high frequency operation. A detailed review is given of transistor level transconductor circuits in CMOS, JFET, GaAs MESFET and bipolar technologies, proposed by other researchers. Also reviewed are the techniques that have been used for the design of transconductor filters including automatic frequency and phase tuning circuits. It is demonstrated that standard methods for active-RC and switched capacitor ladder filter design are not satisfactory when applied to transconductor ladder design, particularly for bandpass responses. An original CMOS transconductance cell is described which is well suited to applications requiring high frequency of operation and high linearity within a low power supply. The advantages of designing transconductors with folded cascade ouput stages are demonstated. Also, two enhancements to the standard folded cascade structure are proposed. The first is the addition of low impedance inputs (in addition to the normal inputs). These allow the use of unidirectional capacitive branches in filters based upon open loop integrators, and thereby increase greatly the number of ladder filter structures that can be designed. The second enhancement provides control of the phase response of the transconductor by means of a variable d.c. voltage. This may be used to compensate actively for the effects of parasitic poles. A set of algebraic methods for the design of transconductor ladder filters is presented. These represent a structured method which may be used as the basis for computer aided design tools. More importantly they provide an abstract representation of the ladder which can be used to find superior active filter circuits that are not intuitively obvious. In particular, new circuits for bandpass ladders are derived which could not be obtained using conventional methods. Applying the developments described above, a set of transconductor ladder filters and a frequency control loop have been designed and fabricated on a 1 micron CMOS process. These include 1 MHz lowpass filters, along with 400 KHz and 1 MHz bandpass filters. Detailed experimental results are given for these circuits.
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Books on the topic "Frequency filters"

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Willingham, Scott D., and Ken Martin. Integrated Video-Frequency Continuous-Time Filters. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2347-5.

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Abidi, Asma Habib. Frequency adaptive digital filters: Two case studies. Ottawa: National Library of Canada, 2004.

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Ozin, Linda. Age differences in the shape of spatial frequency filters. Ottawa: National Library of Canada, 1994.

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Pavan, Shanthi. High frequency continuous time filters in digital CMOS processes. Boston: Kluwer Academic Publishers, 2000.

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Pavan, Shanthi. High frequency continuous time filters in digital CMOS processes. New York: Kluwer Academic Publishers, 2002.

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Yannis, Tsividis, ed. High frequency continuous time filters in digital CMOS processes. Boston: Kluwer Academic Publishers, 2000.

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R, Kumar. Optimum filters and smoothers design for carrier phase and frequency tracking. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1987.

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Willingham, Scott D. Integrated Video-Frequency Continuous-Time Filters: High-Performance Realizations in BiCMOS. Boston, MA: Springer US, 1995.

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Willingham, Scott D. Integrated video-frequency continuous-time filters: High-performance realizations in BiCMOS. Boston: Kluwer Academic Publishers, 1995.

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Converter and filter circuits. Boston: Newnes, 1996.

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Book chapters on the topic "Frequency filters"

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Su, Kendall L. "Frequency transformation." In Analog Filters, 75–89. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2051-1_4.

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Su, Kendall. "Frequency Transformation." In Analog Filters, 77–91. New York, NY: Springer US, 2002. http://dx.doi.org/10.1007/0-306-47953-2_4.

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Sueur, Jérôme. "Frequency Filters." In Sound Analysis and Synthesis with R, 435–64. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77647-7_14.

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Dimopoulos, Hercules G. "Frequency Transformations." In Analog Electronic Filters, 185–217. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2190-6_5.

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Wersing, W., and K. Lubitz. "Electromechanical Frequency Filters." In Piezoelectricity, 181–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68683-5_7.

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Wanhammar, Lars, and Tapio Saramäki. "Frequency-Response Masking Filters." In Digital Filters Using MATLAB, 593–635. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24063-9_13.

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Litovski, Vančo. "Transfer Function and Frequency and Time Domain Response." In Electronic Filters, 37–54. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9852-1_3.

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Litovski, Vančo. "Frequency Transformations in the Analog Domain and Applications." In Electronic Filters, 55–73. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9852-1_4.

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Hlawatsch, Franz. "Time-Frequency Filters and Time-Frequency Expansions." In The Kluwer International Series in Engineering and Computer Science, 105–24. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2815-6_5.

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Papananos, Yannis E. "Integrated RF Filters." In Radio-Frequency Microelectronic Circuits for Telecommunication Applications, 203–24. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-3017-3_8.

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Conference papers on the topic "Frequency filters"

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Kirby, P. "High frequency thin film ferroelectric acoustic resonators." In IEE Seminar Microwave Filters and Multiplexers. IEE, 2000. http://dx.doi.org/10.1049/ic:20000646.

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d'Albaret, Bertrand, Bernard Wolcoff, and Philippe de Joffrey. "High power piezoelectric filters." In 2007 IEEE International Frequency Control Symposium Joint with the 21st European Frequency and Time Forum. IEEE, 2007. http://dx.doi.org/10.1109/freq.2007.4319168.

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Smythe, R. C. "Phase Noise in Crystal Filters." In 39th Annual Symposium on Frequency Control. IEEE, 1985. http://dx.doi.org/10.1109/freq.1985.200833.

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Anderson, M. S. "Audio frequency applications of PCAS and related filters." In IEE Sixteenth Saraga Colloquium on Digital and Analogue Filters and Filtering Systems. IEE, 1996. http://dx.doi.org/10.1049/ic:19961273.

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Milic, Ljiljana, Sanja Damjanovic, and Marko Nikolic. "Frequency Transformations of IIR Filters with Filter Bank Applications." In APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/apccas.2006.342269.

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Shalaby, Mohammed, Mohammed Abdelmoneum, and Kazuhiro Saitou. "Design of Spring Coupling for High Q, High Frequency MEMS Filters." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15395.

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This paper presents the design optimization of the coupling beam of wine glass (WG) mode micromechanical disk filters using the simulated annealing algorithm. The filter under consideration consists of two identical wine-glass mode disk resonators, mechanically coupled by a flexural mode beam. Such coupled two-resonator system exhibits two mechanical resonance modes with closely spaced frequencies that define the filter passband. The frequencies of the constituent resonators determine the center frequency of the filter, while the bandwidth is determined by the stiffness and location of attachment of the coupling beam. The goal is to design a filter with a commonly used bandwidth, namely 100 kHz. The design variables that control the bandwidth value are the beam length, the beam width, and the location of attachment of the coupling beam from the center. The simulated annealing algorithm is used to solve the optimization problem, since the governing dynamic equations of the resonator-coupling system are highly nonlinear. The resulting optimum design is simulated using the finite element method, which confirms the achievement of the desired center frequency and bandwidth.
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"Multiple frequency Solidly Mounted BAW filters." In 2011 Joint Conference of the IEEE International Frequency Control and the European Frequency and Time Forum (FCS). IEEE, 2011. http://dx.doi.org/10.1109/fcs.2011.5977800.

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Soliman, Mazen S., Faisal Hussien, and Mohamed M. Aboudina. "Frequency hopping filters simulation techniques." In 2013 25th International Conference on Microelectronics (ICM). IEEE, 2013. http://dx.doi.org/10.1109/icm.2013.6735007.

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Sommen, P. C. W. "Partitioned frequency domain adaptive filters." In Twenty-Third Asilomar Conference on Signals, Systems and Computers, 1989. IEEE, 1989. http://dx.doi.org/10.1109/acssc.1989.1200983.

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Choi, Kang-Sun, Kyung-Hoon Lee, Sung-Jea Ko, and Aldo W. Morales. "Frequency selective weighted median filters." In Electronic Imaging '99, edited by Edward R. Dougherty and Jaakko T. Astola. SPIE, 1999. http://dx.doi.org/10.1117/12.341086.

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Reports on the topic "Frequency filters"

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Xiao, Haiqiao. Design of Radio-Frequency Filters and Oscillators in Deep-Submicron CMOS Technology. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7106.

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Ryan T. Kristensen, John F. Beausang, and David M. DePoy. Frequency Selective Surfaces as Near Infrared Electro-Magnetic Filters for Thermophotovoltaic Spectral Control. Office of Scientific and Technical Information (OSTI), December 2003. http://dx.doi.org/10.2172/822277.

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Costley, D., Luis De Jesús Díaz,, Sarah McComas, Christopher Simpson, James Johnson, and Mihan McKenna. Multi-objective source scaling experiment. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40824.

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Abstract:
The U.S. Army Engineer Research and Development Center (ERDC) performed an experiment at a site near Vicksburg, MS, during May 2014. Explosive charges were detonated, and the shock and acoustic waves were detected with pressure and infrasound sensors stationed at various distances from the source, i.e., from 3 m to 14.5 km. One objective of the experiment was to investigate the evolution of the shock wave produced by the explosion to the acoustic wavefront detected several kilometers from the detonation site. Another objective was to compare the effectiveness of different wind filter strategies. Toward this end, several sensors were deployed near each other, approximately 8 km from the site of the explosion. These sensors used different types of wind filters, including the different lengths of porous hoses, a bag of rocks, a foam pillow, and no filter. In addition, seismic and acoustic waves produced by the explosions were recorded with seismometers located at various distances from the source. The suitability of these sensors for measuring low-frequency acoustic waves was investigated.
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Wang, Yongqiang. Frequency-Agile Monolithic Ka-Band Filter. Fort Belvoir, VA: Defense Technical Information Center, October 2012. http://dx.doi.org/10.21236/ada582810.

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Shestakov, Aleksei I. Filter frequency response of time dependent signal using Laplace transform. Office of Scientific and Technical Information (OSTI), January 2018. http://dx.doi.org/10.2172/1418944.

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Konecny, R. Radio Frequency Notch Filter Utilizing Fiber Optic Laser Diode Delay Line. Office of Scientific and Technical Information (OSTI), April 1985. http://dx.doi.org/10.2172/948888.

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Parks, James, Vitaly Y. Prikhodko, Alex Sappok, Paul Ragaller, and Leslie Bromberg. Radio Frequency Sensing of Particulate Matter Accumulation on a Gasoline Particulate Filter. Office of Scientific and Technical Information (OSTI), October 2016. http://dx.doi.org/10.2172/1335361.

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Gratzl, Miklos, and Jiri Janata. Filter Banks for Power Spectrum Estimation with a Logarithmically Uniform Frequency Resolution. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada207087.

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Tonguz, Ozan K., M. O. tanrikulu, and Leonid G. Kazovsky. Impact of Finite Frequency Deviation on the Performance of Dual-Filter Heterodyne FSK Lightwave Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada247611.

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Brotman, Susan. The Evaluation of Device Model Dependence in the Design of a High-Frequency, Analog, CMOS Transconductance-C Filter. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6585.

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