In this work, we describe a 'hybrid data set' (HDS) image reconstruction approach, the goal of which was to produce a final image that retained the resolution and noise advantages of EP and CW data sets, respectively.
We gain a signal-to-noise advantage over raster scanning schemes through a multiplexing technique4.
The MAE represents the matrix accumulation estimation, The new algorithm adopts the speediness and degrading-noise advantage of the BFFTAA and the MAE, and is named BFFTAA-MAE algorithm for brevity.
But when the media content is considered as noise, no advantage is taken of the fact that the content is completely known to the watermark embedder.
Along with the apparent tradeoff between resolution and quantitative accuracy, this has motivated interest in developing DOT and FMT image reconstruction algorithms that allow joint use of both EP and quasi-CW data sets to retain their respective resolution and noise performance advantages.
We then develop a scheme for capturing reflectance fields using multiplexed illumination, thereby achieving the signal-to-noise ratio advantages of multiplexed illumination and use a compressive sensing based recovery algorithm to infer reflectance fields.
Linda J. Popky, founder of Leverage2Market Associates, is a Silicon Valley-based strategic marketing expert and author of the new book Marketing Above the Noise: Achieve Strategic Advantage with Marketing that Matters.
The perceptual based techniques help in reducing the noise by taking advantage of the masking properties of the auditory system.
As another strategy, chaotic oscillator, sensitive to periodic signal and inert to noise, possesses huge advantage in weak signal acquisition.
"I don't think you really want to get to zero complaints," says Linda Popky, a strategic marketing expert and the author of Marketing Above the Noise: Achieve Strategic Advantage with Marketing that Matters.
