2012 35th International Conference on Telecommunications and Signal Processing (TSP), 2012
Novel cascaded coding method is proposed to overcome inter symbol interference (ISI), composed of... more Novel cascaded coding method is proposed to overcome inter symbol interference (ISI), composed of frequency selective Rayleigh fading channels in this paper. The proposed method consists of combined Turbo Coding (TC), Permutation Coding (PC) and M-FSK modulation. Computer simulations are performed to verify the efficiency of the proposed method (TPC) and compare with Reed-Solomon and Convolutional Coding (RS-CC) and Turbo coding (TC) in frequency selective Rayleigh fading channels. In fact, PC helps to remove the error floor of an equalizer and M-FSK helps to recover data in highly noisy environment, and finally TC is successful reducing error rate. Therefore, the proposed technique provides high SNR improvement of approximately 6 dB in AWGN and 5 dB in frequency selective channels.
2012 20th Signal Processing and Communications Applications Conference (SIU), 2012
A novel variable step size least mean squares (VSS-LMS) algorithm employing cross correlation bet... more A novel variable step size least mean squares (VSS-LMS) algorithm employing cross correlation between channel output and error signal has been proposed as a solution to disadvantage of slow convergence of LMS algorithm. The new algorithm resolves the conflict between the convergence rate and precise of the fixed step-size conventional LMS algorithm. Computer simulations have been performed to verify the
2012 35th International Conference on Telecommunications and Signal Processing (TSP), 2012
A novel variable step size constant modulus algorithm (VSS-CMA) employing cross correlation betwe... more A novel variable step size constant modulus algorithm (VSS-CMA) employing cross correlation between channel output and error signal has been proposed as a solution to the problem of slow convergence of CMA algorithm. The new algorithm resolves the conflict between the convergence rate and low steady state error of the fixed step-size conventional CMA algorithm. Computer simulations have been performed to verify the performance of the proposed method in frequency selective Rayleigh fading channels. The proposed technique has been compared with the popular non-blind equalizer, Least Mean Squares (LMS) algorithm, and blind equalizer, the conventional CMA and Zhao's VSS-CMA as benchmarks. The obtained simulation results have demonstrated that the proposed VSS-CMA algorithm has considerably better performance than the conventional CMA and Zhao's VSS-CMA blind equalization algorithms, and the conventional LMS non-blind equalization algorithm.
Proceedings of the 22nd ACM international conference on Multimedia, 2014
One widely-used solution to expedite similarity search of multimedia data is to construct hash fu... more One widely-used solution to expedite similarity search of multimedia data is to construct hash functions to map the data into a Hamming space where linear search is known to be fast and often sublinear solutions perform well. In this paper, we propose a Boosting based formulation for supervised learning of the hash functions that is based on Error Correcting Codes. This approach allows us to apply established theoretical results for Boosting in our analysis of our hashing solution. Specifically, we show that the training accuracy in Boosting can be considered as a lower bound on the (empirical) Mean Average Precision (mAP) score. In experiments with three image retrieval benchmarks, the proposed formulation yields significant improvement in mAP over state-of-the-art supervised hashing methods, while using fewer bits in the hash codes.
2012 35th International Conference on Telecommunications and Signal Processing (TSP), 2012
Novel cascaded coding method is proposed to overcome inter symbol interference (ISI), composed of... more Novel cascaded coding method is proposed to overcome inter symbol interference (ISI), composed of frequency selective Rayleigh fading channels in this paper. The proposed method consists of combined Turbo Coding (TC), Permutation Coding (PC) and M-FSK modulation. Computer simulations are performed to verify the efficiency of the proposed method (TPC) and compare with Reed-Solomon and Convolutional Coding (RS-CC) and Turbo coding (TC) in frequency selective Rayleigh fading channels. In fact, PC helps to remove the error floor of an equalizer and M-FSK helps to recover data in highly noisy environment, and finally TC is successful reducing error rate. Therefore, the proposed technique provides high SNR improvement of approximately 6 dB in AWGN and 5 dB in frequency selective channels.
2012 20th Signal Processing and Communications Applications Conference (SIU), 2012
A novel variable step size least mean squares (VSS-LMS) algorithm employing cross correlation bet... more A novel variable step size least mean squares (VSS-LMS) algorithm employing cross correlation between channel output and error signal has been proposed as a solution to disadvantage of slow convergence of LMS algorithm. The new algorithm resolves the conflict between the convergence rate and precise of the fixed step-size conventional LMS algorithm. Computer simulations have been performed to verify the
2012 35th International Conference on Telecommunications and Signal Processing (TSP), 2012
A novel variable step size constant modulus algorithm (VSS-CMA) employing cross correlation betwe... more A novel variable step size constant modulus algorithm (VSS-CMA) employing cross correlation between channel output and error signal has been proposed as a solution to the problem of slow convergence of CMA algorithm. The new algorithm resolves the conflict between the convergence rate and low steady state error of the fixed step-size conventional CMA algorithm. Computer simulations have been performed to verify the performance of the proposed method in frequency selective Rayleigh fading channels. The proposed technique has been compared with the popular non-blind equalizer, Least Mean Squares (LMS) algorithm, and blind equalizer, the conventional CMA and Zhao's VSS-CMA as benchmarks. The obtained simulation results have demonstrated that the proposed VSS-CMA algorithm has considerably better performance than the conventional CMA and Zhao's VSS-CMA blind equalization algorithms, and the conventional LMS non-blind equalization algorithm.
Proceedings of the 22nd ACM international conference on Multimedia, 2014
One widely-used solution to expedite similarity search of multimedia data is to construct hash fu... more One widely-used solution to expedite similarity search of multimedia data is to construct hash functions to map the data into a Hamming space where linear search is known to be fast and often sublinear solutions perform well. In this paper, we propose a Boosting based formulation for supervised learning of the hash functions that is based on Error Correcting Codes. This approach allows us to apply established theoretical results for Boosting in our analysis of our hashing solution. Specifically, we show that the training accuracy in Boosting can be considered as a lower bound on the (empirical) Mean Average Precision (mAP) score. In experiments with three image retrieval benchmarks, the proposed formulation yields significant improvement in mAP over state-of-the-art supervised hashing methods, while using fewer bits in the hash codes.
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Papers by Fatih Cakir