Items where Author is "Kowarzyk, G."
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
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The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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Kowarzyk, G., Bélanger, N., Haccoun, D., & Savaria, Y. (2013). Efficient parallel search algorithm for determining optimal R=1/2 systematic convolutional self-doubly orthogonal codes. IEEE Transactions on Communications, 61(3), 865-876. External link
Kowarzyk, G., Bélanger, N., Haccoun, D., & Savaria, Y. (2012). Efficient Search Algorithm for Determining Optimal R=1/2 Systematic Convolutional Self-Doubly Orthogonal Codes. IEEE Transactions on Communications, 60(1), 3-8. External link
Kowarzyk, G., Bélanger, N., & Savaria, Y. (2011, December). A GPGPU-based software implementation of the PBDI deinterlacing algorithm [Paper]. 18th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2011), Beirut, Lebanon. External link
Kowarzyk, G., Savaria, Y., & Haccoun, D. (2008, May). Searching for short-span convolutional doubly self-orthogonal codes: a parallel implicitly-exhaustive-search algorithm [Paper]. Canadian Conference on Electrical and Computer Engineering (CCECE 2008), Niagara Falls, Ontario. External link