tailieunhanh - Báo cáo hóa học: " Reduced-Complexity Deterministic Annealing for Vector Quantizer Design"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Reduced-Complexity Deterministic Annealing for Vector Quantizer Design | EURASIP Journal on Applied Signal Processing 2005 12 1807-1820 2005 Hindawi Publishing Corporation Reduced-Complexity Deterministic Annealing for Vector Quantizer Design Kemal Demirciler Institute of Advanced Technology Research and Development Eastern Mediterranean University 6Bozova Sokak Yenisehir Lefkosa Mersin 10 Turkey Email kemaldemirciler@ Antonio Ortega Integrated Media Systems Center Department of Electrical Engineering University of Southern California 3740 McClintock Avenue Los Angeles CA 90089-2564 USA Email ortega@ Received 16 September 2004 Recommended for Publication by John Sorensen This paper presents a reduced-complexity deterministic annealing DA approach for vector quantizer VQ design by using soft information processing with simplified assignment measures. Low-complexity distributions are designed to mimic the Gibbs distribution where the latter is the optimal distribution used in the standard DA method. These low-complexity distributions are simple enough to facilitate fast computation but at the same time they can closely approximate the Gibbs distribution to result in near-optimal performance. We have also derived the theoretical performance loss at a given system entropy due to using the simple soft measures instead of the optimal Gibbs measure. We use the derived result to obtain optimal annealing schedules for the simple soft measures that approximate the annealing schedule for the optimal Gibbs distribution. The proposed reduced-complexity DA algorithms have significantly improved the quality of the final codebooks compared to the generalized Lloyd algorithm and standard stochastic relaxation techniques both with and without the pairwise nearest neighbor PNN codebook initialization. The proposed algorithms are able to evade the local minima and the results show that they are not sensitive to the choice of the initial codebook. Compared to the standard DA approach the reduced-complexity DA algorithms can operate over

TÀI LIỆU LIÊN QUAN
crossorigin="anonymous">
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.