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Now showing items 111-120 of 159
Low-density parity-check coding for high-density magnetic recording systems.
(2004)
Our strategy is to combine advanced signal processing techniques, the core of which is soft-decision iterative channel detection, with powerful low-density parity-check (LDPC) coding techniques.
Flow visualization technique for investigation of fractures.
(1999)
Calibration test procedures were conducted to thoroughly analyze the influence of proppant concentration on the light intensities collected by the fibers. Multiple non-linear mathematical models were developed to correlate ...
Applications of iterative decoding to magnetic recording channels.
(2002)
Finally, Q-ary LDPC (Q-LDPC) codes are considered for MRCs. Belief propagation decoding for binary LDPC codes is extended to Q-LDPC codes and a reduced-complexity decoding algorithm for Q-LDPC codes is developed. Q-LDPC ...
Hybrid Active-Passive RFID Tag for Tracking Birds Using Existing Radar Systems
(2019-12-13)
RFID “radio-frequency identification” tags are a powerful tool for the identification
and tracking of objects across a variety of media. RFID tags have applications in security badges, individual identification tags, short ...
An optimally well-localized multi-channel parallel perfect reconstruction filter bank.
(2003)
Joint uncertainty for the overall L-channel, one-dimensional, parallel filter bank is quantified by a metric which is a weighted sum of the time and frequency localizations of the individual filters. Evidence is presented ...
Transport Protocols for Wireless Sensor Networks: State-of-the-Art and Future Directions
(2007)
Characteristics of wireless sensor networks, specifically dense deployment, limited processing power, and limited power supply, provide unique design challenges at the transport layer. Message transmission between sensor ...
Coverage issues in wireless sensor networks.
(2006)
A fundamental issue in the deployment of a large scale Wireless Sensor Network (WSN) is the ability of the network to cover the region of interest. While it is important to know if the region is covered by the deployed ...
Regression and Classification of Breast Cancer Depicting on Digital Pathology Images Using Convolution Neural Networks
(2019-05-10)
Computer-Aided Detection and Diagnosis (CAD) of medical images has been developed and tested for the last three decades. It is designed to be an effective time-saving assistant and provide doctors with a wealth of diagnostic ...