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hiding_data_in_images by_simple_lsb_substitution
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intelligent_wireless vedio_camera
ipv4_ipv6_transition for_3g_evolution
matlab
micro_controllers cable_modems
microcontrollers
multiresolution_watermark based_on_wavelet_transform
new_trends_in_cryptography
organic_led
orthogonal_frequency division_multiplexing
satellite_communication
satellite_communication_1
secure_internet_verification based_on_image_processing
security_issuses
smart_card_based_access
smart_card_technology
smart_memories
spectral_based_replication
speech_recognition_using_dsp
tactile_sensing_system_using artificial_neural_networks
wavelet_transforms
wimax_emerging_wireless technology
wireless_lan_and_ieee_802
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in this paper we present a modified adaptive bit-allocation scheme for coding of audio signals using psychoacoustic modeling. statistical redundancy reduction (lossless coding) generally gives compression ratios up to 2. we increase this ratio using perceptual irrelevancy removal (lossy coding). in this work mpeg-1 layer-1 standard for psychoacoustic modeling is used and compression is improved by modifying the bit-allocation scheme, which without using a second stage (lossless) compression, is giving results comparable to that of mp3 (which uses huffman coding as second stage). to increase this ratio further, some of the high frequency sub-bands which contribute less to the signal are removed. subjective evaluation is the best method to assess the quality of audio signals. original and reconstructed audio signals are presented to listeners that grade and/or compare them according to perceived quality. without quality degradation the achieved bit-rate is 90 kbps from original bit-rate 706 kbps.
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