Academic literature on the topic 'Filter banks'

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Journal articles on the topic "Filter banks"

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SHUI, PENG-LANG, and XIAO-LONG WANG. "2M-BAND INTERLEAVED DFT MODULATED FILTER BANKS WITH PERFECT RECONSTRUCTION." International Journal of Wavelets, Multiresolution and Information Processing 06, no. 04 (July 2008): 499–520. http://dx.doi.org/10.1142/s021969130800246x.

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In this paper, we propose a new family of perfect reconstruction (PR) complex filter banks, named interleaved discrete Fourier transform modulated filter banks (Interleaved DFT-FBs). In the filter banks, the analysis filters are generated by interlaced exponential modulating two different analysis prototype filters, and the synthesis filters are generated by two different synthesis prototype filters via the same manner. The filter banks have a simple polyphase structure similar to DFT modulated filter banks (DFT-FBs). More importantly, the proposed Interleaved DFT-FBs can achieve critically sampled PR complex filter bank with FIR analysis and synthesis filters, which is impossible for DFT-FBs. We give and prove the PR condition for 2M-band Interleaved DFT-FBs. Utilizing the result, the design procedure of the prototype filters is presented. In addition, by the theoretic analysis and numerical examples, it is shown that the analysis and synthesis filters cannot simultaneously provide good stopband attenuation for the critically sampled PR Interleaved DFT-FBs. Although the limitation always exits, the filter banks can find applications in some subband coding systems of high bit rate.
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Tay, David B. H., Yuichi Tanaka, and Akie Sakiyama. "Critically sampled graph filter banks with polynomial filters from regular domain filter banks." Signal Processing 131 (February 2017): 66–72. http://dx.doi.org/10.1016/j.sigpro.2016.07.003.

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Kušljević, Miodrag D., Vladimir V. Vujičić, Josif J. Tomić, and Predrag D. Poljak. "IIR Cascaded-Resonator-Based Complex Filter Banks." Acoustics 5, no. 2 (May 30, 2023): 535–52. http://dx.doi.org/10.3390/acoustics5020032.

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The use of a filter bank of IIR filters for the spectral decomposition and analysis of signals has been popular for many years. As such, a new filter-bank resonator-based structure, representing an extremely hardware-efficient structure, has received a good deal of attention. Recently, multiple-resonator (MR)-based and general cascaded-resonator (CR)-based filters have been proposed. In comparison to single-resonator-based analyzers, analyzers with a higher multiplicity of resonators in the cascade provide lower side lobes and a higher attenuation in stopbands. In previous works, it was shown that the CR-based filter bank with infinite impulse response (IIR) filters, which is numerically more efficient than one with finite impulse response (FIR) filters, is suitable for dynamic harmonic analysis. This paper uses the same approach to design complex digital filter banks. In the previous case, the optimization task referred to the frequency responses of harmonic filters. In this work, the harmonic filters of the mother filter bank are reshaped so that the frequency response of the sum (or difference, depending on the parity of the number of resonators in the cascade) of two adjacent harmonic filters is optimized. This way, an online adaptive filter base can be obtained. The bandwidth of the filters in the designed filter bank can be simply changed online by adding or omitting the output signals of the corresponding harmonics of the mother filter.
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Lee, J. H., and W. J. Kang. "Designing filters for polyphase filter banks." IEE Proceedings G Circuits, Devices and Systems 139, no. 3 (1992): 363. http://dx.doi.org/10.1049/ip-g-2.1992.0059.

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Bernardini, R., and R. Rinaldo. "Oversampled filter banks from extended perfect reconstruction filter banks." IEEE Transactions on Signal Processing 54, no. 7 (July 2006): 2625–35. http://dx.doi.org/10.1109/tsp.2006.874811.

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Zhang, Shuai, Yong Xiang Zhang, and Jie Ping Zhu. "Rolling Bearing Feature Extraction Based on Wavelet Filtering with Optimal Combination Bands." Applied Mechanics and Materials 599-601 (August 2014): 434–40. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.434.

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In order to select the band-pass filter parameters reasonably, a new method of rolling bearing feature extraction based on wavelet filtering with optimal combination bands is proposed. Filter banks with different number of filter/octave are constructed by Morlet wavelet, which are used to filter the signal. The filters with the optimal frequency-band are selected according to the kurtosis of the filtered signal. Then, the optimal band filters in each filter bank are combined to filter the signals and the feature extraction is available. Through simulation and experimental verification, results show that the proposed method is more effective than the common one.
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Damjanovic, Sanja, and Ljiljana Milic. "A family of IIR two-band orthonormal QMF filter banks." Serbian Journal of Electrical Engineering 1, no. 3 (2004): 45–56. http://dx.doi.org/10.2298/sjee0403045d.

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The design and characteristics of orthonormal two-band QMF filter banks, with perfect reconstruction and linear phase properties, are considered in this paper. The analysis and synthesis filter banks are implemented using all pass filters. Filters in the synthesis bank are ant causal and unstable filters and the block processing technique and an appropriate causal filter are applied for their real time application. The generated filter banks characteristics and the finite block length influence of the block processing technique applied for ant causal filtering are illustrated for a rectangular input signal case. The corresponding wavelet and scaling functions, generated after five iterations of the analysis bank in a low pass branch, are shown.
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Chung, Daewon, Woon Cho, Yunsun Kim, and Joonhyeon Jeon. "A Flexible and Simple Lossless DWT Filter Bank Using a MAXFLAT FIR Half-Band Filter." Applied Sciences 12, no. 18 (September 13, 2022): 9166. http://dx.doi.org/10.3390/app12189166.

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This paper describes a simple, lossless and computationally efficient two-band single (s-) filter bank that creates an opposite band output by subtracting the primary filtered data from the original data. For computationally efficient and error-free s-filter bank achievement, a maximally flat (MAXFLAT) half-band filter with zero odd-order coefficients is characterized from a unique perfect reconstruction condition, and an explicit impulse–response formula (for non-zero integer coefficients of even order) is derived in a closed form of the filter. The examples are shown to provide a complete and accurate solution for the design of such s-filter banks. In addition, the effectiveness of the proposed s-filter banks is clearly verified by comparing the lossless 5/3 and lossy 9/7 filter banks (in the JPEG2000). The simulation results show that the s-filter banks lead to better performance than the JPEG2000 filter banks using two filters although allowing low computational complexity of less than 50%. This new approach is shown to provide significant advantages over existing lossless discrete wavelet transform (DWT) filter banks in both design flexibility and computational complexity.
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Cvetkovic, Z., and M. Vetterli. "Oversampled filter banks." IEEE Transactions on Signal Processing 46, no. 5 (May 1998): 1245–55. http://dx.doi.org/10.1109/78.668788.

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Liang, Yu, Yu Guo, Chuan Hui Wu, and Yan Gao. "Envelope Analysis Based on the Combination of Morlet Wavelet and Kurtogram." Advanced Materials Research 490-495 (March 2012): 305–8. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.305.

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Envelope analysis based on the combination of complex Morlet wavelet and Kurtogram have advantages of automatic calculation of the center frequency and bandwidth of required band-pass filter. However, there are some drawbacks in the traditional algorithm, which include that the filter bandwidth is not -3dB bandwidth and the analysis frequency band covered by the filter-banks are inconsistent at different levels. A new algorithm is introduced in this paper. Through it, both optimal center frequency and bandwidth of band-pass filter in the envelop analysis can be obtained adaptively. Meanwhile, it ensures that the filters in the filter-banks are overlapped at the point of -3dB bandwidth and the consistency of frequency band that the filter-banks covered.
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Dissertations / Theses on the topic "Filter banks"

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Demirsoy, Süleyman Sırrı. "Complexity reduction in digital filters and filter banks." Thesis, University of Westminster, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433680.

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Nord, Magnus. "Cosine Modulated Filter Banks." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1641.

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The initial goal of this report was to implement and compare cosine modulated filter banks. Because of time limitations, focus shifted towards the implementation. Filter banks and multirate systems are important in a vast range of signal processing systems. When implementing a design, there are several considerations to be taken into account. Some examples are word length, number systems and type of components. The filter banks were implemented using a custom made software, especially designed to generate configurable gate level code. The generated code was then synthesized and the results were compared. Some of the results were a bit curious. For example, considerable effort was put into implementing graph multipliers, as these were expected to be smaller and faster than their CSDC (Canonic Signed Digit Code) counterparts. However, with one exception, they turned out to generate larger designs. Another conclusion drawn is that the choice of FPGA is important. There are several things left to investigate, though. For example, a more thorough comparison between CSDC and graph multipliers should be carried out, and other DCT (Discrete Cosine Transform) implementations should be investigated.

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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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Anderson, Martin S. "Design of two-dimensional PCAS digital filters and filter banks." Thesis, University of Warwick, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307968.

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Chen, Tsuhan Vaidyanathan P. P. Vaidyanathan P. P. "Multidimensional multirate filters and filter banks : theory, design, and implementation /." Diss., Pasadena, Calif. : California Institute of Technology, 1993. http://resolver.caltech.edu/CaltechETD:etd-08232007-095226.

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Law, Ying Man. "Iterative algorithms for the constrained design of filters and filter banks /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202004%20LAW.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.
Includes bibliographical references (leaves 108-111). Also available in electronic version. Access restricted to campus users.
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Ramachandran, Ravi P. "Bandwidth efficient filter banks for transmultiplexers." Thesis, McGill University, 1990. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=74561.

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This thesis addresses the problem of simultaneously transmitting several data signals across a single channel. For this purpose, a transmultiplexer that uses modulated filter banks is studied. Modulated filter banks comprise filters that are bandpass versions of a lowpass prototype. The filters serve to assign portions of the channel bandwidth to the data signals. The impulse responses of the filters are parameterized by a center frequency, delay and phase factor. The objectives in configuring modulated filter banks are to use the full channel bandwidth for transmission, cancel crosstalk between signals (arises when signals share bandwidth) and cancel intersymbol interference in each data signal. Assuming an ideal channel, a synthesis procedure is developed by assigning a bandwidth to the lowpass prototype and deriving relationships among the center frequencies, delays and phases such that the entire channel bandwidth is utilized and crosstalk is cancelled. New design procedures for an FIR lowpass prototype are proposed such that the intersymbol interference is suppressed. One design method is based on a minimax criterion. Another approach involves an unconstrained optimization of an error function.
The synthesis procedure leads to five bandwidth efficient transmultiplexers. Three of the systems implement multicarrier Quadrature Amplitude Modulation (QAM) and two accomplish multicarrier Vestigial Sideband Modulation (VSB). The performance of the five systems is compared with filters obtained by the new design approaches. Also, the issue of channel distortion is addressed. Finally, the transmultiplexers can be converted into new subband systems.
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Dachasilaruk, Siriporn. "Wavelet filter banks for cochlear implants." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/388109/.

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Cochlear implant (CI) users regularly perform as well as normal-hearing (NH) listeners in quiet conditions. However, CI users have reduced speech perception in noise. CI users suffer more in terms of speech intelligibility than NH listeners in the same noisy environment. Speech coding strategies with noise reduction algorithms for CI devices play an important role, allowing CI users to benefit more from their implants. This thesis investigates a wavelet packet-based speech coding strategy with envelope-based noise reduction algorithms to enhance speech intelligibility in noisy conditions. The advantages of wavelet packet transforms (WPTs), in terms of time-frequency analysis, the sparseness property, and low computational complexity, might make WPT appropriate for speech coding and denoising in CI devices. In cases with an optimal set of parameters for a wavelet packet-based speech coding strategy, the 23- and 64-band WPTs with sym8 and frame length of 8 ms were found to be more suitable than other combinations for this strategy. These parameters can optimise speech intelligibility to benefit CI users. However, both the standard ACE strategy and the wavelet packet-based strategy provided almost the same results in either quiet or noisy conditions. Cases using envelope-based denoising techniques in a wavelet packet-based strategy, namely time-adaptive wavelet thresholding (TAWT) and time-frequency spectral subtraction (TFSS) were developed and evaluated by objective and subjective intelligibility measures and compared to ideal binary masking (IdBM) as a baseline for denoising performance. IdBM can restore intelligibility to nearly the same level as NH listeners in all noisy conditions. Both TAWT and TFSS showed slight intelligibility improvements in some noisy conditions. This may result from noise estimation in denoising techniques. Noise level may be under- or overestimated, and this results in distortion in enhanced speech and difficult in speech discrimination. Both objective and subjective intelligibility measures can predict the trend of the performance of different denoising techniques for CI users. However, NH listeners can achieve better intelligibility at higher SNR levels without noise reduction, since they are less sensitive to noise but more sensitive to speech distortion when compared to CI listeners. Therefore, denoising techniques may work well for CI users in further investigations.
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Lettsome, Clyde Alphonso. "Fixed-analysis adaptive-synthesis filter banks." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28143.

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Thesis (M. S.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.
Committee Chair: Smith, Mark J. T.; Committee Co-Chair: Mersereau, Russell M.; Committee Member: Anderson, David; Committee Member: Lanterman, Aaron; Committee Member: Rosen, Gail; Committee Member: Wardi, Yorai.
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Books on the topic "Filter banks"

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Strang, Gilbert. Wavelets and filter banks. Wellesley, MA: Wellesley-Cambridge Press, 1996.

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Schuller, Gerald. Filter Banks and Audio Coding. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51249-1.

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Basu, Sankar, and Bernard Levy, eds. Multidimensional Filter Banks and Wavelets. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-5922-8.

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Britanak, Vladimir, and K. R. Rao. Cosine-/Sine-Modulated Filter Banks. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-61080-1.

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Vaidyanathan, P. P. Multirate systems and filter banks. Englewood Cliffs, N.J: Prentice Hall, 1993.

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Multirate systems and filter banks. Delhi: Dorling Kindersley, 2006.

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T, Smith Mark J., and United States. National Aeronautics and Space Administration., eds. Exact reconstruction analysis/synthesis filter banks with time-varying filters. [Washington, DC: National Aeronautics and Space Administration, 1993.

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Anderson, Martin S. Design of two-dimensional PCAS digital filters and filter banks. [s.l.]: typescript, 1994.

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T, Smith Mark J., and United States. National Aeronautics and Space Administration., eds. Exact reconstruction analysis/synthesis filter banks with time-varying filters. [Washington, DC: National Aeronautics and Space Administration, 1993.

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Steffen, Andreas. Digital pulse compression using multirate filter banks. Konstanz: Hartung-Gorre Verlag, 1991.

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Book chapters on the topic "Filter banks"

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Schuller, Gerald. "Filter Banks." In Filter Banks and Audio Coding, 1–103. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51249-1_1.

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Giron-Sierra, Jose Maria. "Filter Banks." In Digital Signal Processing with Matlab Examples, Volume 2, 3–113. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2537-2_1.

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Pande, Amit, and Joseph Zambreno. "Chaotic Filter Banks." In Embedded Multimedia Security Systems, 91–111. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4459-5_6.

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Rao, K. Deergha, and M. N. S. Swamy. "Multirate Filter Banks." In Digital Signal Processing, 575–617. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8081-4_9.

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Han, Bin. "Wavelet Filter Banks." In Framelets and Wavelets, 67–151. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68530-4_2.

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Han, Bin. "Framelet Filter Banks." In Framelets and Wavelets, 153–244. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68530-4_3.

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Averbuch, Amir Z., Pekka Neittaanmaki, and Valery A. Zheludev. "Introduction: Periodic Filters and Filter Banks." In Spline and Spline Wavelet Methods with Applications to Signal and Image Processing, 9–14. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8926-4_2.

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Averbuch, Amir Z., Pekka Neittaanmäki, and Valery A. Zheludev. "Introduction: Digital Filters and Filter Banks." In Spline and Spline Wavelet Methods with Applications to Signal and Image Processing, 9–30. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22303-2_2.

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Taubman, David S., and Michael W. Marcellin. "Filter Banks and Wavelets." In JPEG2000 Image Compression Fundamentals, Standards and Practice, 231–302. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4_6.

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Bölcskei, Helmut, and Franz Hlawatsch. "Oversampled modulated filter banks." In Gabor Analysis and Algorithms, 295–322. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-2016-9_10.

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Conference papers on the topic "Filter banks"

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Hur, Youngmi, and Kasso A. Okoudjou. "Scalable filter banks." In SPIE Optical Engineering + Applications, edited by Manos Papadakis, Vivek K. Goyal, and Dimitri Van De Ville. SPIE, 2015. http://dx.doi.org/10.1117/12.2186168.

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Lian, Jian-ao. "Multidimensional PR Filter Banks with FIR Filters." In 2006 International Conference on Communications, Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/icccas.2006.284610.

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Pfister, Luke, and Yoram Bresler. "Learning sparsifying filter banks." In SPIE Optical Engineering + Applications, edited by Manos Papadakis, Vivek K. Goyal, and Dimitri Van De Ville. SPIE, 2015. http://dx.doi.org/10.1117/12.2188663.

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Zhou, Jianping, and Minh N. Do. "Multidimensional oversampled filter banks." In Optics & Photonics 2005, edited by Manos Papadakis, Andrew F. Laine, and Michael A. Unser. SPIE, 2005. http://dx.doi.org/10.1117/12.618209.

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Gescheidtova, Eva, Karel Bartusek, Radek Kubasek, and Zdenek Smekal. "Equaripple Digital Filters in Quadrature Mirror Filter Banks." In 2006 International Conference on Communication Technology. IEEE, 2006. http://dx.doi.org/10.1109/icct.2006.341738.

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Tay, David B. H., and Zhiping Lin. "Biorthogonal filter banks constructed from four halfband filters." In 2016 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2016. http://dx.doi.org/10.1109/iscas.2016.7527467.

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Marinkovic, S., and C. Guillemot. "Erasure resilience of oversampled filter bank codes based on cosine modulated filter banks." In 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577). IEEE, 2004. http://dx.doi.org/10.1109/icc.2004.1313023.

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Crespin, E. R., R. H. Olsson, K. E. Wojciechowski, D. W. Branch, P. Clews, R. Hurley, and J. Gutierrez. "Fully integrated switchable filter banks." In 2012 IEEE/MTT-S International Microwave Symposium - MTT 2012. IEEE, 2012. http://dx.doi.org/10.1109/mwsym.2012.6259652.

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Mau, J. "Perfect reconstruction modulated filter banks." In [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1992. http://dx.doi.org/10.1109/icassp.1992.226433.

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Soman, A. K., P. P. Vaidyanathan, and T. Q. Nguyen. "Linear phase orthonormal filter banks." In Proceedings of ICASSP '93. IEEE, 1993. http://dx.doi.org/10.1109/icassp.1993.319472.

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Reports on the topic "Filter banks"

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Zhou, Daniel. A Review of Polyphase Filter Banks and Their Application. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada457390.

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2

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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3

Phoong, See-May, P. P. Vaidyanathan, Rashid Ansari, and Chai W. Kim. A New Class of Two-Channel Biorthogonal Filter Banks and Wavelet Bases. Fort Belvoir, VA: Defense Technical Information Center, March 1993. http://dx.doi.org/10.21236/ada289067.

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4

Vaidyanathan, P. P., and Tsuhan Chen. Role of Anticausal Inverses in Multirate Filter-Banks-Part 1: System Theoretic Fundamentals. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada274279.

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5

Vaidyanathan, P. P. Causal Fir Matrices with Anticausal Fir Inverses, and Application in Characterization of Biorthonormal Filter Banks. Fort Belvoir, VA: Defense Technical Information Center, April 1994. http://dx.doi.org/10.21236/ada274509.

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6

Pedemonte, Mathieu O., Hiroshi Toma, and Esteban Verdugo. Aggregate implications of heterogeneous inflation expectations: the role of individual experience. Federal Reserve Bank of Cleveland, January 2023. http://dx.doi.org/10.26509/frbc-wp-202304.

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We show that inflation expectations are heterogeneous and depend on past individual experiences. We propose a diagnostic expectations-augmented Kalman filter to represent consumers’ heterogeneous inflation expectations-formation process, where heterogeneity comes from an anchoring-to-the-past mechanism. We estimate the diagnosticity parameter that governs the inflation expectations-formation process and show that the model can replicate systematic differences in inflation expectations across cohorts in the US. We introduce this mechanism into a New Keynesian model and find that heterogeneous expectations anchor aggregate responses to the agents’ memory, making shocks more persistent. Central banks should be more active to prevent agents from remembering current shocks far into the future.
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7

Buettner, Leonard C., John J. Mahle, George Wagner, Tara Sewell, Nicole Fletcher, and David K. Friday. Absorbent Analysis of Anniston Chemical Agent Disposal Facility Munition Demilitarization Building (MDB) Banks 1 and 2 Filter Samples Following Completion of The GB Agent and VX Rocket Campaigns. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada571049.

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8

Phoong, See-May, and P. P. Vaidyanathan. One- and Two-Level Filter Bank Convolvers. Fort Belvoir, VA: Defense Technical Information Center, March 1993. http://dx.doi.org/10.21236/ada268965.

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9

Duro, Miguel, Germán López-Espinosa, Sergio Mayordomo, Gaizka Ormazabal, and María Rodríguez-Moreno. Enforcing mandatory reporting on private firms: the role of banks. Madrid: Banco de España, November 2022. http://dx.doi.org/10.53479/23526.

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This paper studies firm-level factors shaping the enforcement of financial reporting regulation on private firms and proposes bank lending as a particularly important one. Our tests are based on a rare combination of data sets, which allows us to construct unique measures of misreporting, notably in the form of underreporting of debt. We observe that private firms with bank debt are more likely to file mandatory financial reports and less likely to file information with irregularities. While we also find evidence that the need for bank financing can induce firms to misreport, this concern is mitigated by additional findings suggesting that banks detect reporting issues within private firms’ financial statements. Critically, we observe that firms with reporting issues obtain significantly less credit, especially when the bank has had previous exposure to debt misreporting and when the bank verifies debt information using the public credit registry. In short, our paper documents important firm-level determinants of private firms’ misreporting and highlights that banks play a significant role in the enforcement of mandatory financial reporting on these firms.
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Tuqan, Jamal, and P. P. Vaidyanathan. Optimum Low Cost Two Channel IIR Orthonormal Filter Bank,. Fort Belvoir, VA: Defense Technical Information Center, April 1997. http://dx.doi.org/10.21236/ada323660.

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