How to exploit 17 tried and true DSP power optimization techniques for wireless applications
To reduce power and turbocharge performance, just minimize the number of processor cycles. But that's where the easy part ends.

Code size, speed and power consumption all have a significant impact on the the system-level product that integrates a DSP. The more power an embedded application consumes, for example, the larger the battery or fan required to drive it.
Code size, speed and power consumption all have a significant impact on the the system-level product that integrates a DSP. The more power an embedded application consumes, for example, the larger the battery or fan required to drive it.
To reduce power, an application must run in as few cycles as possible because each cycle consumes a measurable amount of energy. In this sense, performance and power optimization are similar�using the least number of cycles is an excellent way to meet both performance and power optimization goals.
Although performance and power optimization strategies may share a similar goal, there are subtle differences in how those goals are achieved. This article will explore those differences from the perspective of wireless system design and it will discuss the resulting strategies.
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