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In this paper, we propose a system of a tree evolutionary recurrent self-organizing models. Inherited from the Growing Hierarchical Self-Organizing Map GHSOM. The proposed GHSOM variants are characterized by a hierarchical model, composed of independent RSOMs (recurrent Self-Organizing Map). The case study of the proposed system is phoneme recognition in continuous speech and speaker independent context. GHSOM variants serve az tools for developing intelligent systems and proposed artificial intelligence application.

Electrocardiogram (ECG) data compression algorithm is needed that will reduce the amount of data to be transmitted, stored and analyzed, but without losing the clinical information content. A wavelet ECG data codec based on the Set Partitioning In Hierarchical Trees (SPIHT) compression algorithm is proposed in this paper. The SPIHT algorithm has achieved notable success in still image coding. We modified the algorithm for the one-dimensional (1-D) case and applied it to compression of ECG data. By this compression method, small percent root mean square difference (PRD) and high compression ratio with low implementation complexity are achieved. Experiments on selected records from the MIT-BIH arrhythmia database revealed that the proposed codec is significantly more efficient in compression and in computation than previously proposed ECG compression schemes. Compression ratios of up to 48:1 for ECG signals lead to acceptable results for visual inspection., {"references":["K. Nguyen-Phi, H. Weinrichterm \"ECG signal coding using wavelet\ntransform and binary arithmetic coder,\" In International Conference on\nInformation, Communications and Signal Processing, ICICS, pp.1344-\n1348, Sep. 1997 Singapore.","L.V. Batista, E.U.K. Melcher, L.C. Carvalho, \"Compression of ECG\nsignals by optimized quantization of discrete cosine transform\ncoefficients,\" Elsevier Med. Eng. Phys. 23, pp.127-134, 2001.","H. Lee, K.M. Buckley, \"ECG data compression using cut and align\nbeats approach and 2-D transform,\" IEEE Trans. Biomed. Eng. Vol. 46\nNo. 5, pp. 556-564, 1999.","M.L. Hilton, \"Wavelet and wavelet packets compression of\nelectrocardiogram,\" IEEE Trans. Biomed. Eng. Vol. 44, No. 5, pp.\n394-402, 1997.","S.G. Miaou, S.N. Chao, \"Wavelet based lossy-to-lossless ECG\ncompression in a unified vector quantization framework,\"IEEE Trans.\nBiomed. Eng. Vol.52, No. 3, pp. 539-543, 2005.","S.G. Miaou, H.L. Yen, \"Multichannel ECG compression using\nmultichannel adaptive vector quantization,\" IEEE Trans. Biomed. Eng.\nVol. 48, No. 10, pp.1203-1207, 2001.","S.G. Miaou, H.L. Yen, C.L. Lin, \"Wavelet-based ECG compression\nusing dynamic vector quantization with tree codevectors in single\ncodebook,\" IEEE Trans. Biomed. Eng. Vol. 49 No. 7, pp. 671-680,\n2002.","M. Benzid, F. Marir, A. Boussaad, M. Benyoucef, D. Arar, \"Fixed\npercentage of wavelet coefficients to be zeroed for ECG compression,\"\nIEE Electron. Lett. Vol. 39, No. 11, pp.830-831, 2003.","S.M.S. Jalaleddine., \"ECG Data Compression Techniques - A Unified\nApproach\", IEEE Trans. on Biomed. Eng., Vol. 37, No. 4.,1990, pp.\n329-343.\n[10] Al-Shrouf, M. Abo-Zahhad, S. M. Ahmed, \"A novel compression\nalgorithm for electrocardiogram signal based on the linear prediction of\nthe wavelet coefficients,\"Digital Signal Processing, vol. 13, pp. 604-\n622, 2003.\n[11] M.L. Hilton, \"Wavelet and Wavelet Packet Compression of\nElectrocardiograms,\" IEEE Trans. on Biomed. Eng., Vol. 44, No. 5,\npp.394-402, May 1997.\n[12] Z. Lu, D.Y. Kim, and W.A. Pearlman, \"Wavelet Compression of ECG\nSignals by the Set Partitioning in Hierarchical Trees (SPIHT)\nAlgorithm,\" IEEE Transactions on Biomedical Engineering, Vol. 47,\npp. 849-856, July, 2000.\n[13] A. Bilgin, M.W. Marcellin, M.I. Altbach, \"Compression of\nElectrocardiogram Signals using JPEG2000,\" IEEE Transactions on\nConsumer Electronics, Vol. 49, No. 4, pp. 833-840, November 2003.\n[14] A. Said and W.A. Pearlman, \"A New, Fast and Efficient Image Codec\nBased on Set Partitioning in Hierarchical Trees,\" IEEE Trans. on\nCircuits and Systems for Video Technology, Vol. 6, pp. 243-250, June\n1996.\n[15] A. Said, and W.A. Pearlman, \"Image compression using the spatialorientation\ntree\", IEEE Int. Symp. on Circuits and Systems, Chicago, IL,\n279-282, 1993.Video Technology, 6(3), 243-250, 1996."]}