Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many signal processing applications involve manipulating a large amount of data to generate a relatively narrow numerical result, such as, “does a particular object X exist in a picture?”, “which of several possible words was spoken in a sentence?”, or, “how strongly do these two patterns correlate?”. These applications take in noisy inputs with relatively low quantization, such as 8-bits/color for video, or 8-bit audio samples, or 1b-to-2b digitized baseband signals. Hover, a sufficiently large amount of data allows noise rejection, and an accurate ansr can be computed. This large-data-to-narrow-result property makes these applications a good fit for analog calculation, which also has limited resolution and inherent noise, but can offer higher energy efficiency than digital implementations.
['S. Skrzyniarz', 'Laura Fick', 'Jinal Shah', 'Yejoong Kim', 'Dennis Sylvester', 'David Blaauw', 'David Fick', 'Michael B. Henry']
I am writing a research paper on a idea 24.3 A 36.8 2b-TOPS/W self-calibrating GPS accelerator implemented using analog calculation in 65nm LP CMOS
[{"from": "human", "value": "I am writing a research paper on a idea 24.3 A 36.8 2b-TOPS/W self-calibrating GPS accelerator implemented using analog calculation in 65nm LP CMOS"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many signal processing applications involve manipulating a large amount of data to generate a relatively narrow numerical result, such as, \u201cdoes a particular object X exist in a picture?\u201d, \u201cwhich of several possible words was spoken in a sentence?\u201d, or, \u201chow strongly do these two patterns correlate?\u201d. These applications take in noisy inputs with relatively low quantization, such as 8-bits/color for video, or 8-bit audio samples, or 1b-to-2b digitized baseband signals. Hover, a sufficiently large amount of data allows noise rejection, and an accurate ansr can be computed. This large-data-to-narrow-result property makes these applications a good fit for analog calculation, which also has limited resolution and inherent noise, but can offer higher energy efficiency than digital implementations."}]