Academic literature on the topic 'Adaptive Decision Feedback Equalizer'

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Journal articles on the topic "Adaptive Decision Feedback Equalizer"

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Chen, S., B. Mulgrew, and S. McLaughlin. "Adaptive Bayesian equalizer with decision feedback." IEEE Transactions on Signal Processing 41, no. 9 (1993): 2918–27. http://dx.doi.org/10.1109/78.236513.

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Kim, D. W., S. H. Han, M. S. Eun, J. S. Choi, and Y. S. Cho. "An adaptive decision feedback equalizer using error feedback." IEEE Transactions on Consumer Electronics 42, no. 3 (1996): 468–77. http://dx.doi.org/10.1109/30.536144.

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Zhang, Sumin, Shu Li, and Donglin Su. "Adaptive support vector machine decision feedback equalizer." Journal of Systems Engineering and Electronics 22, no. 3 (2011): 452–61. http://dx.doi.org/10.3969/j.issn.1004-4132.2011.03.013.

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Yu Gong and C. F. N. Cowan. "A self-structured adaptive decision feedback equalizer." IEEE Signal Processing Letters 13, no. 3 (2006): 169–72. http://dx.doi.org/10.1109/lsp.2005.862601.

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Le, M. Q., P. J. Hurst, and J. P. Keane. "An adaptive analog noise-predictive decision-feedback equalizer." IEEE Journal of Solid-State Circuits 37, no. 2 (2002): 105–13. http://dx.doi.org/10.1109/4.982416.

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Annapurna H. S, Et al. "Performance Analysis of Adaptive Equalizers Over Multipath Faded Channels: Error Vector Magnitudes." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 438–44. http://dx.doi.org/10.17762/ijritcc.v11i10.8507.

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Due to the increasing popularity of digital transmission systems, the need for channel equalizers has been acknowledged. These techniques are designed to counteract the effects of the inter-symbol interference (ISI) caused by the communication channels. An adaptive equalizer is used to operate on the output of a channel in order to provide an approximation of the transmission medium. An adaptive equalizer usually requires a training period to operate successfully. This method eliminates the effects of the wireless transmission channel and allows the subsequent symbol modulation. The paper pres
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Chakraborty, Mrityunjoy, and Suraiya Pervin. "Pipelining the adaptive decision feedback equalizer with zero latency." Signal Processing 83, no. 12 (2003): 2675–81. http://dx.doi.org/10.1016/j.sigpro.2003.07.003.

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JIANG, HONG RUI, and KYUNG SUP KWAK. "ON MODIFIED COMPLEX RECURRENT NEURAL NETWORK ADAPTIVE EQUALIZER." Journal of Circuits, Systems and Computers 11, no. 01 (2002): 93–101. http://dx.doi.org/10.1142/s0218126602000276.

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A new modified version called decision feedback complex recurrent neural network equalizer (DFCRNNE) is proposed with the study of complex recurrent neural network equalizer (CRNNE). Based on DFCRNNE, a modified real time recurrent learning (CRTRL) algorithm is developed. Simulation results show that DFCRNNE has better performance than CRNNE based on traditional CRTRL algorithm2 in complex nonlinear channels with severe intersymbol interference (ISI) and nonlinear distortion.
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Zerdoumi, Zohra, Djamel Chikouche, and Djamel Benatia. "Multilayer Perceptron Based Equalizer with an Improved Back Propagation Algorithm for Nonlinear Channels." International Journal of Mobile Computing and Multimedia Communications 7, no. 3 (2016): 16–31. http://dx.doi.org/10.4018/ijmcmc.2016070102.

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Neural network based equalizers can easily compensate channel impairments; such additive noise and inter symbol interference (ISI). The authors present a new approach to improve the training efficiency of the multilayer perceptron (MLP) based equalizer. Their improvement consists on modifying the back propagation (BP) algorithm, by adapting the activation function in addition to the other parameters of the MLP structure. The authors report on experiment results evaluating the performance of the proposed approach namely the back propagation with adaptive activation function (BPAAF) next to the
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Sheng Chen, S. McLaughlin, B. Mulgrew, and P. M. Grant. "Adaptive Bayesian decision feedback equalizer for dispersive mobile radio channels." IEEE Transactions on Communications 43, no. 5 (1995): 1937–46. http://dx.doi.org/10.1109/26.387409.

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Dissertations / Theses on the topic "Adaptive Decision Feedback Equalizer"

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Senol, Sinan. "Performance Comparison Of Adaptive Decision Feedback Equalizer And Blind Decision Feedback Equalizer." Master's thesis, METU, 2004. http://etd.lib.metu.edu/upload/1023746/index.pdf.

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The Decision Feedback Equalizer (DFE) is a known method of channel equalization which has performance superiority over linear equalizer. The best performance of DFE is obtained, commonly, with training period which is used for initial acquisiton of channel or recovering changes in the channel. The training period requires a training sequence which reduces the bit transmission rate or is not possible to send in most of the situations. So, it is desirable to skip the training period. The Unsupervised (Blind) DFE (UDFE) is such a DFE scheme which has no training period. The UDFE has two modes of
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Wickert, Mark, Shaheen Samad, and Bryan Butler. "AN ADAPTIVE BASEBAND EQUALIZER FOR HIGH DATA RATE BANDLIMITED CHANNELS." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604050.

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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California<br>Many satellite payloads require wide-band channels for transmission of large amounts of data to users on the ground. These channels typically have substantial distortions, including bandlimiting distortions and high power amplifier (HPA) nonlinearities that cause substantial degradation of bit error rate performance compared to additive white Gaussian noise (AWGN) scenarios. An
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Brooks, Duncan John. "Adaptive algorithms for low complexity equalizers in mobile communications." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312445.

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Woodward, Graeme Kenneth. "Adaptive detection for DS-CDMA." Thesis, The University of Sydney, 1999. https://hdl.handle.net/2123/27691.

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Adaptive techniques for detection of direct sequence code division multiple access (DS—CDMA) signals are investigated. The goal is to improve CDMA system performance and capacity relative to conventional systems by reducing interference between users. The techniques considered are adaptive versions of multiuser receiver structures. Most multiuser receivers proposed to date suffer from overly high computational complexity or impractical levels of assumed system knowledge. Adaptive techniques may be used to improve the feasibility of certain classes of multiuser receivers. Receivers estimat
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Xiaoqi, Han. "Nonlinear Equalization Based on Decision Feedback Equalizer for Optical Communication System." Miami University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=miami1386170540.

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Nassr, Husam, and Kurt Kosbar. "PERFORMANCE EVALUATION FOR DECISION-FEEDBACK EQUALIZER WITH PARAMETER SELECTION ON UNDERWATER ACOUSTIC COMMUNICATION." International Foundation for Telemetering, 2017. http://hdl.handle.net/10150/626999.

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This paper investigates the effect of parameter selection for the decision feedback equalization (DFE) on communication performance through a dispersive underwater acoustic wireless channel (UAWC). A DFE based on minimum mean-square error (MMSE-DFE) criterion has been employed in the implementation for evaluation purposes. The output from the MMSE-DFE is input to the decoder to estimate the transmitted bit sequence. The main goal of this experimental simulation is to determine the best selection, such that the reduction in the computational overload is achieved without altering the performance
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Chandramouli, Soumya. "A Novel Analog Decision-Feedback Equalizer in CMOS for Serial 10-Gb/sec Data Transmission Systems." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19847.

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This dissertation develops an unclocked receiver analog decision-feedback equalizer (ADFE) circuit architecture and topology and implements the circuit in 0.18-um CMOS to enable 10-Gb/sec serial baseband data transmission over FR-4 backplane and optical fibre. The ADFE overcomes the first feedback-loop latency challenge of traditional digital and mixed-signal DFEs by separating data re-timing from equalization and also eliminates the need for clock-recovery prior to decision-feedback equalization. The ADFE enables 10-Gb/sec decision-feedback equalization using a 0.18-um CMOS process, the firs
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Michaelides, John Frixou. "Nonlinear adaptive filtering for echo cancellation and decision feedback equalization." Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66261.

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Adnan, Rubyet. "Blind Equalization for Tomlinson-Harashima Precoded Systems." Thesis, University of Canterbury. Electrical and Computer Engineering, 2007. http://hdl.handle.net/10092/1130.

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At a communications receiver the observed signal is a corrupted version of the transmitted signal. This distortion in the received signal is due to the physical characteristics of the channel, including multipath propagation, the non-idealities of copper wires and impulse noise. Equalization is a process to combat these distortions in order to recover the original transmitted signal. Roughly stated, the equalizer tries to implement the inverse transfer function of the channel while taking into account the channel noise. The equalizer parameters can be tuned to this inverse transfer function us
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Liu, Yizhou. "ELECTRICAL EQUALIZATION FOR MULTIMODE FIBER SYSTEMS." Miami University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1484004535118825.

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Books on the topic "Adaptive Decision Feedback Equalizer"

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Loyd, Welch, and United States. National Aeronautics and Space Administration., eds. Study of a co-designed decision feedback equalizer,deinterleaver and decoder. National Aeronautics and Space Administration, 1990.

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Loyd, Welch, and United States. National Aeronautics and Space Administration., eds. Study of a co-designed decision feedback equalizer,deinterleaver and decoder. National Aeronautics and Space Administration, 1990.

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IEEE Conference on Decision and Control (34th 1995 New Orleans, La.). Proceedings of the 34th IEEE Conference on Decision and Control: December 13-15, 1995, New Orleans Hilton Riverside, New Orleans, Louisiana, USA. Institute of Electrical and Electronics Engineers, 1995.

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Xiang, Yihai. Design of high-speed adaptive parallel multi-level decision feedback equalizer. 1997.

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Xiang, Yihai. Design of high-speed adaptive parallel multi-level decision feedback equalizer. 1997.

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Wiedmann, Ralf. An adaptive all-pass filter for decision feedback equalization. 1997.

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Wiedmann, Ralf. An adaptive all-pass filter for decision feedback equalization. 1997.

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Bellman. Adaptive Control Processes. Princeton University Press, 1990.

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Bellman, Richard E. Adaptive Control Processes: A Guided Tour. Princeton University Press, 2015.

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Bellman, Richard E. Adaptive Control Processes: A Guided Tour. Princeton University Press, 2015.

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Book chapters on the topic "Adaptive Decision Feedback Equalizer"

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Majumder, Saikat. "Adaptive Decision Feedback Equalizer Based on Wavelet Neural Network." In Machine Learning in Signal Processing. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003107026-8.

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Bury, Andreas, and Jürgen Lindner. "An Improved MMSE Based Block Decision Feedback Equalizer." In Multi-Carrier Spread Spectrum & Related Topics. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4463-0_40.

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Kani, B., and Manissa J. Dobree Wilson. "Decision feedback in adaptive networks." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-19036-8_7.

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You, Xingyuan, Lintao Liu, and Haocheng Ding. "Soft Decision Feedback Turbo Equalizer Based on Channel Estimation." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73317-3_60.

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Pérez-Iglesias, Héctor José, Adriana Dapena, Paula M. Castro, and José A. García-Naya. "Hybrid Channel Estimation Strategy for MIMO Systems with Decision Feedback Equalizer." In Latent Variable Analysis and Signal Separation. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15995-4_39.

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Udomsripaiboon, T., and C. Benjangkaprasert. "Variable Step-Size Algorithm on Feedback and Feed-Forward Coefficients for Modified Decision Feedback Equalizer Turbo Code DS/CDMA System." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27966-9_95.

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Zerguine, Azzedine, and Ahmar Shafi. "Performance of the Multilayer Perceptron-based Decision Feedback Equalizer with Lattice Structure in Non-Linear Channels." In Soft Computing in Communications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-45090-0_2.

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Khanzada, Tariq Jamil Saifullah, Ali Ramadan Ali, Abdul Qadeer Khan Rajput, and Abbas S. Omar. "A Design and Chronological Survey of Decision Feedback Equalizer for Single Carrier Transmission Compared with OFDM." In Wireless Networks, Information Processing and Systems. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89853-5_41.

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Akkad, Ghattas, Ali Mansour, Bachar Elhassan, Jalal Srar, Mohamad Najem, and Frederic Leroy. "An Efficient Non-Blind Steering Vector Estimation Technique For Robust Adaptive Beamforming With Multistage Error Feedback." In Intelligent Decision Technologies 2019. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8303-8_2.

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Karthikeyan, D., V. A. Mamlesh, Sahithi Venkata Pokuri, Sruthi N. Sree, Samiksha Racha, and M. Karishma. "Adaptive Candidate scoring and feedback integration (ACS-FI): Enhancing recruiter decision-making." In Progressive Computational Intelligence, Information Technology and Networking. CRC Press, 2025. https://doi.org/10.1201/9781003650010-91.

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Conference papers on the topic "Adaptive Decision Feedback Equalizer"

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Hema, C., and P. Srividya. "Design Techniques for optimizing an Adaptive Decision Feedback Equalizer for 5G Communication." In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2024. http://dx.doi.org/10.1109/ickecs61492.2024.10616657.

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Deguchi, Mitsuyasu, Yukihiro Kida, Yoshitaka Watanabe, and Takuya Shimura. "Decision Feedback Equalizer with Feedback Filters for Receiver Channels on Underwater Acoustic Communication." In OCEANS 2024 - Halifax. IEEE, 2024. http://dx.doi.org/10.1109/oceans55160.2024.10754548.

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Duanjin Zhang, Xia Liu, and Wenying Zhang. "Adaptive Decision Feedback Equalizer using the Delta Operator." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712649.

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Doaa Ashmawy, Esam Abdel-Raheem, Hala Mansour, Mohamed Youssif, and Mahmoud Mohanna. "FPGA implementation of blind adaptive decision feedback equalizer." In 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 2009. http://dx.doi.org/10.1109/isspit.2009.5407537.

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Ammari, Mohamed L., and Paul Fortier. "Adaptive Modulation for MIMO Systems with Decision-Feedback Equalizer." In 2013 IEEE 78th Vehicular Technology Conference (VTC Fall). IEEE, 2013. http://dx.doi.org/10.1109/vtcfall.2013.6692082.

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Dolan, Matthew, and Fei Yuan. "An adaptive edge decision feedback equalizer with 4PAM signalling." In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2017. http://dx.doi.org/10.1109/mwscas.2017.8052978.

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Li, Yue, and Fei Yuan. "Adaptive data-transition decision feedback equalizer for serial links." In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2017. http://dx.doi.org/10.1109/mwscas.2017.8053246.

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Tang, Liangxiao, Weixin Gai, and Linqi Shi. "PAM4 receiver with adaptive threshold voltage and adaptive decision feedback equalizer." In 2016 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2016. http://dx.doi.org/10.1109/iscas.2016.7539030.

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Zerdoumi, Z., D. Chikouche, and D. Benatia. "Adaptive decision feedback equalizer based neural network for nonlinear channels." In 2013 3rd International Conference on Systems and Control (ICSC). IEEE, 2013. http://dx.doi.org/10.1109/icosc.2013.6750956.

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Kofidis, Eleftherios, and Athanasios A. Rontogiannis. "Adaptive BLAST decision-feedback equalizer for MIMO-FBMC/OQAM systems." In 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2010). IEEE, 2010. http://dx.doi.org/10.1109/pimrc.2010.5672028.

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Reports on the topic "Adaptive Decision Feedback Equalizer"

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Creyer, Elizabeth H., James R. Bettman, and John W. Payne. The Impact of Accuracy and Effort Feedback and Goals on Adaptive Decision Behavior. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada205751.

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Mai Phuong, Nguyen, Hanna North, Duong Minh Tuan, and Nguyen Manh Cuong. Assessment of women’s benefits and constraints in participating in agroforestry exemplar landscapes. World Agroforestry, 2021. http://dx.doi.org/10.5716/wp21015.pdf.

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Participating in the exemplar landscapes of the Developing and Promoting Market-Based Agroforestry and Forest Rehabilitation Options for Northwest Vietnam project has had positive impacts on ethnic women, such as increasing their networks and decision-making and public speaking skills. However, the rate of female farmers accessing and using project extension material or participating in project nurseries and applying agroforestry techniques was limited. This requires understanding of the real needs and interests grounded in the socio-cultural contexts of the ethnic groups living in the Norther
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