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• W2150654370 abstract "We address the problem of code size minimization in VLSI systems with embedded DSP processors. Reducing code size reduces the production cost of embedded systems. We use data compression methods to develop code size minimization strategies. We present a framework for code size minimization where the compressed data consists of a dictionary and a skeleton. The dictionary can be computed using popular text compression algorithms. We describe two methods to execute the compressed code that have varying performance characteristics and varying degrees of freedom in compressing the code. Experimental results obtained with a TMS320C25 code generator are presented." @default.
• W2150654370 created "2016-06-24" @default.
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• W2150654370 date "2002-11-19" @default.
• W2150654370 modified "2023-09-27" @default.
• W2150654370 title "Code density optimization for embedded DSP processors using data compression techniques" @default.
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• W2150654370 doi "https://doi.org/10.1109/arvlsi.1995.515626" @default.
• W2150654370 hasPublicationYear "2002" @default.
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