Search for dissertations about: "Audio signal processing"
Showing result 11 - 15 of 39 swedish dissertations containing the words Audio signal processing.
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11. On the Enhancement of Audio and Video in Mobile Equipment
Abstract : Use of mobile equipment has increased exponentially over the last decade. As use becomes more widespread so too does the demand for new functionalities. The limited memory and computational power of many mobile devices has proven to be a challenge resulting in many innovative solutions and a number of new standards. READ MORE
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12. Contributions to Delay, Gain, and Offset Estimation
Abstract : The demand for efficient and reliable high rate communication is ever increasing. In this thesis we study different challenges in such systems, and their possible solutions. READ MORE
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13. A Sound Approach Toward a Mobility Aid for Blind and Low-Vision Individuals
Abstract : Reduced independent mobility of blind and low-vision individuals (BLVIs) cause considerable societal cost, burden on relatives, and reduced quality of life for the individuals, including increased anxiety, depression symptoms, need of assistance, risk of falls, and mortality. Despite the numerous electronic travel aids proposed since at least the 1940’s, along with ever-advancing technology, the mobility issues persist. READ MORE
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14. Low-Complexity Algorithms for Echo Cancellation in Audio Conferencing Systems
Abstract : Ever since the birth of the telephony system, the problem with echoes, arising from impedance mismatch in 2/4-wire hybrids, or acoustic echoes where a loudspeaker signal is picked up by a closely located microphone, has been ever present. The removal of these echoes is crucial in order to achieve an acceptable audio quality for conversation. READ MORE
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15. Parameter Estimation - in sparsity we trust
Abstract : This thesis is based on nine papers, all concerned with parameter estimation. The thesis aims at solving problems related to real-world applications such as spectroscopy, DNA sequencing, and audio processing, using sparse modeling heuristics. READ MORE