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Case Study: Engineering Algorithms for Efficiency and Effectiveness | Berkeley Design Technology, Inc

Algorithms are the essence of embedded applications; they are the mathematical processes that transform data in useful ways. They’re also often computationally demanding. When designing a new product, companies often need to assess whether an algorithm will fit within their cost and power consumption targets. Sometimes, an algorithm won’t fit in its initial form.



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Case Study: Engineering Algorithms for Efficiency and Effectiveness | Berkeley Design Technology, Inc

https://www.bdti.com/InsideDSP/2017/10/31/Case-Study

Algorithms are the essence of embedded applications; they are the mathematical processes that transform data in useful ways. They’re also often computationally demanding. When designing a new product, companies often need to assess whether an algorithm will fit within their cost and power consumption targets. Sometimes, an algorithm won’t fit in its initial form.



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Case Study: Engineering Algorithms for Efficiency and Effectiveness | Berkeley Design Technology, Inc

Algorithms are the essence of embedded applications; they are the mathematical processes that transform data in useful ways. They’re also often computationally demanding. When designing a new product, companies often need to assess whether an algorithm will fit within their cost and power consumption targets. Sometimes, an algorithm won’t fit in its initial form.

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      Algorithms are the essence of embedded applications; they are the mathematical processes that transform data in useful ways. They’re also often computationally demanding. When designing a new product, companies often need to assess whether an algorithm will fit within their cost and power consumption targets. Sometimes, an algorithm won’t fit in its initial form.
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