Relevant bibliographies by topics / Discrete cosine transform

Academic literature on the topic 'Discrete cosine transform'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Discrete cosine transform"

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Radha Krishna A.N, Radha Krishna A. N. "JPEG Encoder using Discrete Cosine Transform & Inverse Discrete Cosine Transform." IOSR Journal of Electronics and Communication Engineering 5, no. 4 (2013): 51–56. http://dx.doi.org/10.9790/2834-0545156.

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Najiyah, Ina. "Analisis Perbandingan Discrete Cosine Transform Dan Discrete Wavelet Transform Untuk Kompresi Citra." Jurnal Responsif : Riset Sains dan Informatika 2, no. 1 (March 7, 2020): 106–17. http://dx.doi.org/10.51977/jti.v2i1.195.

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Kompresi citra atau image compression adalah sebuah metode untuk mengkompresi sebuah citra tanpa merusak citra aslinya dengan tujuan untuk memperkecil ukuran atau memory. Banyak metode yang diimplementasikan dalam bidang image compression ini dan metode-metode atau algoritma tersebut tentunya memiliki cara kerja dan hasil yang berbeda. Penelitian ini melakukan image compression dengan membandingkan metode Discreate Cosine Transform dan metode Discreate Wavelete Transform guna diketahui mana metode yang lebih baik dalam hal Image Compression. Dataset yang digunakan dalam penelitian ini berjumlah 30 dataset. Alat yang dipakai dalam mencari perbandingan Discreate Cosine Transform dan metode Discreate Wavelete Transform adalah MATLAB versi terbaru. Hasil dari penelitian ini yaitu didapatkan nilai PSNR, MSE dan SC dari masing-masing metode. Didapatkan metode yang paling baik adalah discreat wavelete transform dibanding metode Discreate Cosine Transform dengan nilai PSNR sebesar 57.3726 dB, nilai MSE sebesar 0.025593 dan nilai SC sebesar 98.0433. Kata Kunci: Kompresi Citra, Discreate Cosine Transform, Discreate Wavelete Transform
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Strang, Gilbert. "The Discrete Cosine Transform." SIAM Review 41, no. 1 (January 1999): 135–47. http://dx.doi.org/10.1137/s0036144598336745.

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Fracastoro, Giulia, Sophie M. Fosson, and Enrico Magli. "Steerable Discrete Cosine Transform." IEEE Transactions on Image Processing 26, no. 1 (January 2017): 303–14. http://dx.doi.org/10.1109/tip.2016.2623489.

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Chitprasert, B., and K. R. Rao. "Discrete cosine transform filtering." Signal Processing 19, no. 3 (March 1990): 233–45. http://dx.doi.org/10.1016/0165-1684(90)90115-f.

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Olkkonen, H. "Running discrete cosine transform." Journal of Biomedical Engineering 14, no. 6 (November 1992): 507–8. http://dx.doi.org/10.1016/0141-5425(92)90104-s.

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Cho, Min-Kyoung. "Discrete cosine transform domain image resizing using correlation of discrete cosine transform coefficients." Journal of Electronic Imaging 15, no. 3 (July 1, 2006): 033009. http://dx.doi.org/10.1117/1.2234736.

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Cariolaro, G., T. Erseghe, and P. Kraniauskas. "The fractional discrete cosine transform." IEEE Transactions on Signal Processing 50, no. 4 (April 2002): 902–11. http://dx.doi.org/10.1109/78.992138.

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Yuk-Hee Chan and Wan-Chi Siu. "Mixed-radix discrete cosine transform." IEEE Transactions on Signal Processing 41, no. 11 (1993): 3157–61. http://dx.doi.org/10.1109/78.257281.

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Skodras, A. N. "Fast discrete cosine transform pruning." IEEE Transactions on Signal Processing 42, no. 7 (July 1994): 1833–37. http://dx.doi.org/10.1109/78.298293.

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Dissertations / Theses on the topic "Discrete cosine transform"

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Yu, Sungwook. "VLSI implementation of multidimensional discrete Fourier transform and discrete cosine transform /." Digital version accessible at:, 2000. http://wwwlib.umi.com/cr/utexas/main.

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Hu, Ta-Hsiang. "Discrete cosine transform implementation in VHDL." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA245791.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, December 1990.
Thesis Advisor(s): Lee, Chin-Hwa ; Yang, Chyan. "December 1990." Description based on title screen as viewed on March 29, 2010. DTIC Identifier(s): Fast Fourier Transform, High Level Languages, CHIPS (Electronics), Computerized Simulation, Signal Processing, Theses, Algorithms, Floating Point Operation, VHDL (Vhsic Hardware Description Language). Author(s) subject terms: FFT System, DCT System Implementation. Includes bibliographical references (p. 152). Also available in print.
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Jin, Chengzhou. "Discrete Cosine Transform for Pre-coded EGPRS." Thesis, KTH, Signalbehandling, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98761.

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Due to the rapid growth of wireless multimedia service, new features such as improved spectral efficiency, latency and increased peak throughput are standardized in the current GSM/EDGE system. Higher order modulations and symbol rates are defined in Enhanced General Packet Radio Service phase 2 (EGPRS2) to achieve better throughput. However, the computational complexity in the traditional receiver can be very high when increased modulation orders are applied; additionally, the system becomes more sensitive to the impairments at an increased symbol rate. It is therefore desirable to have a less complex and more robust demodulator. Recently, a new study item which introduces the multi-carrier technique was proposed in the 3rd Generation Partnership Project (3GPP) standardization. Based on the channel partitioning using the Discrete Fourier Transform (DFT), a simple equalizer can be used, which greatly reduces the computational complexity on receiver, meanwhile achieves good throughput and robustness against impairments. In this thesis, another channel partitioning method by means of the Discrete Cosine Transform (DCT) is studied. Transmitter and receiver algorithms are developed, including a pre-filter designed at the receiver to facilitate the channel diagonalization. The link level performance is evaluated by means of simulations, under different test scenarios. The system’s robustness against impairments and peak-to-average ratio (PAR) reduction are also evaluated, and compared with a system based on the DFT pre-coding. From the simulations, the conclusions can be drawn that in this implementation, the DFT precoded EGPRS2 outperforms the DCT pre-coded EGPRS2 in all scenarios. The DCT pre-coded system also shows worse robustness against impairments and higher peak-to-average ratio reduction loss in throughput. The impact of pre-filter design on the DCT pre-coded system has also been analyzed, and it shows that there is a tradeoff between achieving good symmetrization, and preserving channel information in the frequency domain.
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Abedi, Safdar Ali Syed. "Exploring Discrete Cosine Transform for Multi-resolution Analysis." Digital Archive @ GSU, 2005. http://digitalarchive.gsu.edu/cs_theses/12.

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Multi-resolution analysis has been a very popular technique in the recent years. Wavelets have been used extensively to perform multi resolution image expansion and analysis. DCT, however, has been used to compress image but not for multi resolution image analysis. This thesis is an attempt to explore the possibilities of using DCT for multi-resolution image analysis. Naive implementation of block DCT for multi-resolution expansion has many difficulties that lead to signal distortion. One of the main causes of distortion is the blocking artifacts that appear when reconstructing images transformed by DCT. The new algorithm is based on line DCT which eliminates the need for block processing. The line DCT is one dimensional array based on cascading the image rows and columns in one transform operation. Several images have been used to test the algorithm at various resolution levels. The reconstruction mean square error rate is used as an indication to the success of the method. The proposed algorithm has also been tested against the traditional block DCT.
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Haque, S. M. Rafizul. "Singular Value Decomposition and Discrete Cosine Transform based Image Watermarking." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5269.

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Rapid evolution of digital technology has improved the ease of access to digital information enabling reliable, faster and efficient storage, transfer and processing of digital data. It also leads to the consequence of making the illegal production and redistribution of digital media easy and undetectable. Hence, the risk of copyright violation of multimedia data has increased due to the enormous growth of computer networks that provides fast and error free transmission of any unauthorized duplicate and possibly manipulated copy of multimedia information. One possible solution may be to embed a secondary signal or pattern into the image that is not perceivable and is mixed so well with the original digital data that it is inseparable and remains unaffected against any kind of multimedia signal processing. This embedded secondary information is digital watermark which is, in general, a visible or invisible identification code that may contain some information about the intended recipient, the lawful owner or author of the original data, its copyright etc. in the form of textual data or image. In order to be effective for copyright protection, digital watermark must be robust which are difficult to remove from the object in which they are embedded despite a variety of possible attacks. Several types of watermarking algorithms have been developed so far each of which has its own advantages and limitations. Among these, recently Singular Value Decomposition (SVD) based watermarking algorithms have attracted researchers due to its simplicity and some attractive mathematical properties of SVD. Here a number of pure and hybrid SVD based watermarking schemes have been investigated and finally a RST invariant modified SVD and Discrete Cosine Transform (DCT) based algorithm has been developed. A preprocessing step before the watermark extraction has been proposed which makes the algorithm resilient to geometric attack i.e. RST attack. Performance of this watermarking scheme has been analyzed by evaluating the robustness of the algorithm against geometric attack including rotation, scaling, translation (RST) and some other attacks. Experimental results have been compared with existing algorithm which seems to be promising.
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Chua, Doi-eng, and 蔡岱榮. "Some variations on Discrete-Cosine-Transform-based lossy image compression." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31222523.

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Deng, An-Te. "VHDL behavioral description of Discrete Cosine Transform in image compression." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28641.

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Hantehzadeh, Neda. "3-D Face Recognition using the Discrete Cosine Transform (DCT)." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1964658571&sid=3&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Scargall, Lee David. "Very low bit-rate digital video coding." Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299046.

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Bhardwaj, Divya Anshu. "Inverse Discrete Cosine Transform by Bit Parallel Implementation and Power Comparision." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2447.

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The goal of this project was to implement and compare Invere Discrete Cosine Transform using three methods i.e. by bit parallel, digit serial and bit serial. This application describes a one dimensional Discrete Cosine Transform by bit prallel method and has been implemented by 0.35 ìm technology. When implementing a design, there are several considerations like word length etc. were taken into account. The code was implemented using WHDL and some of the calculations were done in MATLAB. The VHDL code was the synthesized using Design Analyzer of Synopsis; power was calculated and the results were compared.

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Books on the topic "Discrete cosine transform"

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Ochoa-Domínguez, Humberto, and K. R. Rao. Discrete Cosine Transform. Second edition. | Boca Raton, FL : Taylor & Francis Group, CRC Press, 2019. | Revised edition of: Discrete cosine transform : algorithms, advntages, applications / K. R. Rao, P. Yip. 1990.: CRC Press, 2019. http://dx.doi.org/10.1201/9780203729854.

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1956-, Yip P., ed. Discrete Cosine Transform: Algorithms, Advantages, Applications. Boston: Academic Press, 1990.

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Tan, Ee-Leng, and Woon-Seng Gan. Perceptual Image Coding with Discrete Cosine Transform. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-543-3.

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author, Gan Woon-Seng, ed. Perceptual image coding with discrete cosine transform. Singapore: Springer, 2015.

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Deng, An-Te. VHDL behavioral description of Discrete Cosine Transform in image compression. Monterey, Calif: Naval Postgraduate School, 1991.

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Jer-Nan, Juang, Institute for Computer Applications in Science and Engineering., and United States. National Aeronautics and Space Administration., eds. A novel approach for adaptive signal processing. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1998.

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C, Yip P., and Rao K. Ramamohan, eds. Discrete Cosine and Sine Transforms: General Properties, Fast Algorithms and Integer Approximations. Amsterdam: Academic Press, 2006.

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Britanak, Vladimir. Discrete cosine and sine transforms: General properties, fast algorithms and integer approximations. Amsterdam: Academic, 2007.

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Discrete Cosine Transform. Elsevier, 1990. http://dx.doi.org/10.1016/c2009-0-22279-3.

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Discrete Cosine Transform. Taylor & Francis Group, 2019.

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Book chapters on the topic "Discrete cosine transform"

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Özhan, Orhan. "Discrete Cosine Transform." In Basic Transforms for Electrical Engineering, 599–623. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98846-3_10.

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Ochoa-Domínguez, Humberto, and K. R. Rao. "Introduction." In Discrete Cosine Transform, 1–4. Second edition. | Boca Raton, FL : Taylor & Francis Group, CRC Press, 2019. | Revised edition of: Discrete cosine transform : algorithms, advntages, applications / K. R. Rao, P. Yip. 1990.: CRC Press, 2019. http://dx.doi.org/10.1201/9780203729854-1.

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Ochoa-Domínguez, Humberto, and K. R. Rao. "The Karhunen–Loéve Transform." In Discrete Cosine Transform, 5–21. Second edition. | Boca Raton, FL : Taylor & Francis Group, CRC Press, 2019. | Revised edition of: Discrete cosine transform : algorithms, advntages, applications / K. R. Rao, P. Yip. 1990.: CRC Press, 2019. http://dx.doi.org/10.1201/9780203729854-2.

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Ochoa-Domínguez, Humberto, and K. R. Rao. "The Discrete Cosine Transform." In Discrete Cosine Transform, 23–94. Second edition. | Boca Raton, FL : Taylor & Francis Group, CRC Press, 2019. | Revised edition of: Discrete cosine transform : algorithms, advntages, applications / K. R. Rao, P. Yip. 1990.: CRC Press, 2019. http://dx.doi.org/10.1201/9780203729854-3.

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Ochoa-Domínguez, Humberto, and K. R. Rao. "The Discrete Sine Transform." In Discrete Cosine Transform, 95–112. Second edition. | Boca Raton, FL : Taylor & Francis Group, CRC Press, 2019. | Revised edition of: Discrete cosine transform : algorithms, advntages, applications / K. R. Rao, P. Yip. 1990.: CRC Press, 2019. http://dx.doi.org/10.1201/9780203729854-4.

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Ochoa-Domínguez, Humberto, and K. R. Rao. "The Modified Discrete Cosine Transform." In Discrete Cosine Transform, 113–32. Second edition. | Boca Raton, FL : Taylor & Francis Group, CRC Press, 2019. | Revised edition of: Discrete cosine transform : algorithms, advntages, applications / K. R. Rao, P. Yip. 1990.: CRC Press, 2019. http://dx.doi.org/10.1201/9780203729854-5.

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Ochoa-Domínguez, Humberto, and K. R. Rao. "The Integer Discrete Cosine Transform." In Discrete Cosine Transform, 133–94. Second edition. | Boca Raton, FL : Taylor & Francis Group, CRC Press, 2019. | Revised edition of: Discrete cosine transform : algorithms, advntages, applications / K. R. Rao, P. Yip. 1990.: CRC Press, 2019. http://dx.doi.org/10.1201/9780203729854-6.

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Ochoa-Domínguez, Humberto, and K. R. Rao. "The Directional Discrete Cosine Transform." In Discrete Cosine Transform, 195–226. Second edition. | Boca Raton, FL : Taylor & Francis Group, CRC Press, 2019. | Revised edition of: Discrete cosine transform : algorithms, advntages, applications / K. R. Rao, P. Yip. 1990.: CRC Press, 2019. http://dx.doi.org/10.1201/9780203729854-7.

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Ochoa-Domínguez, Humberto, and K. R. Rao. "Transform Mirroring and Rotation." In Discrete Cosine Transform, 227–47. Second edition. | Boca Raton, FL : Taylor & Francis Group, CRC Press, 2019. | Revised edition of: Discrete cosine transform : algorithms, advntages, applications / K. R. Rao, P. Yip. 1990.: CRC Press, 2019. http://dx.doi.org/10.1201/9780203729854-8.

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Mitchell, Joan L., William B. Pennebaker, Chad E. Fogg, and Didier J. LeGall. "The Discrete Cosine Transform." In MPEG Video Compression Standard, 33–49. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-4587-7_3.

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Conference papers on the topic "Discrete cosine transform"

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Zhou, Jianqin, and Ping Chen. "Generalized Discrete Cosine Transform." In 2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS). IEEE, 2009. http://dx.doi.org/10.1109/paccs.2009.62.

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Fracastoro, Giulia, and Enrico Magli. "Steerable Discrete Cosine Transform." In 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2015. http://dx.doi.org/10.1109/mmsp.2015.7340827.

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Kober, Vitaly, Jose A. González-Fraga, and Anastasia Kober. "Hopping discrete cosine transform." In Applications of Digital Image Processing XLVI, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2023. http://dx.doi.org/10.1117/12.2677172.

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Dahiya, Pragati, and Priyanka Jain. "Efficient Recursive Algorithm for Discrete Cosine Transform and Inverse Discrete Cosine Transform." In 2018 International Conference on Sustainable Energy, Electronics, and Computing Systems (SEEMS). IEEE, 2018. http://dx.doi.org/10.1109/seems.2018.8687354.

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Al-Asad, Jawad, Hiren Mewada, Aymen Flah, and Amit V. Patel. "Discrete Cosine Stockwell Transform vs. Discrete Cosine Transform in Despeckling OCT images." In 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE, 2023. http://dx.doi.org/10.1109/icecet58911.2023.10389363.

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Hou, H. "The recursive discrete cosine transform." In 9th Computing in Aerospace Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-4620.

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Hou, H. S., and M. J. Vogel. "Dual-Mode Discrete Cosine Transform." In 32nd Annual Technical Symposium, edited by Andrew G. Tescher. SPIE, 1988. http://dx.doi.org/10.1117/12.948436.

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Sun, M. T., T. C. Chen, A. Gottlieb, L. Wu, and M. L. Liou. "A 16X16 Discrete Cosine Transform Chip." In 1987 Cambridge Symposium, edited by T. Russell Hsing. SPIE, 1987. http://dx.doi.org/10.1117/12.976479.

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Vucha, Mahendra, and A. L. Siridhara. "Cordic Architecture for Discrete Cosine Transform." In 2021 6th International Conference on Communication and Electronics Systems (ICCES). IEEE, 2021. http://dx.doi.org/10.1109/icces51350.2021.9488945.

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Bianchi, Tiziano, Alessandro Piva, and Mauro Barni. "Discrete cosine transform of encrypted images." In 2008 15th IEEE International Conference on Image Processing - ICIP 2008. IEEE, 2008. http://dx.doi.org/10.1109/icip.2008.4712093.

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Reports on the topic "Discrete cosine transform"

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DELTA INFORMATION SYSTEMS INC HORSHAM PA. Investigation of the Adaptive Discrete Cosine Transform Technique for Still Picture Data Compression. Fort Belvoir, VA: Defense Technical Information Center, August 1989. http://dx.doi.org/10.21236/ada228745.

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