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Two Dimensional Signal And Image Processing

TLDR
The two dimensional signal and image processing is universally compatible with any devices to read and is available in the book collection an online access to it is set as public so you can download it instantly.
Abstract
Thank you for downloading two dimensional signal and image processing. As you may know, people have look hundreds times for their chosen novels like this two dimensional signal and image processing, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they juggled with some infectious virus inside their computer. two dimensional signal and image processing is available in our book collection an online access to it is set as public so you can download it instantly. Our digital library spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the two dimensional signal and image processing is universally compatible with any devices to read.

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Citations
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Journal ArticleDOI

Automatic Boat Identification System for VIIRS Low Light Imaging Data

TL;DR: A set of algorithms for automatic detection of spikes and characterization of the sharpness of spike features is developed that can provide fishery agencies with up-to-date information of fishing boat activity and changes in this activity in response to new regulations and enforcement regimes.
Journal ArticleDOI

Automatic Intrapulse Modulation Classification of Advanced LPI Radar Waveforms

TL;DR: Improved signal processing techniques are developed for the analysis and classification of low probability of intercept (LPI) radar waveforms and the proposed algorithm outperforms the existing techniques of classification and can be used under strategic environment.
Journal ArticleDOI

Practical Signal-Dependent Noise Parameter Estimation From a Single Noisy Image

TL;DR: This paper focuses on the signal-dependent noise model and proposes an algorithm to automatically estimate its parameters from a single noisy image, which outperforms the state-of-the-art methods.

Backscatter measurements by seafloor‐mapping sonars: guidelines and recommendations

TL;DR: In this paper, the authors discuss the needs and expectations that the multibeam community has for backscatter data and the intentions that the community collects the data for. And they briefly explore some potential common data formats based on the data user's diversity of applications and metadata requirements.
BookDOI

Statistical Analysis of Noise in MRI

TL;DR: The first € price and the £ and $ price are net prices, subject to local VAT, and the €(D) includes 7% for Germany, the€(A) includes 10% for Austria.
References
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Posted Content

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

TL;DR: In this article, the authors provide a comprehensive tutorial and survey about the recent advances towards the goal of enabling efficient processing of DNNs, and discuss various hardware platforms and architectures that support deep neural networks.
Journal ArticleDOI

Automatic Boat Identification System for VIIRS Low Light Imaging Data

TL;DR: A set of algorithms for automatic detection of spikes and characterization of the sharpness of spike features is developed that can provide fishery agencies with up-to-date information of fishing boat activity and changes in this activity in response to new regulations and enforcement regimes.
Journal ArticleDOI

Automatic Intrapulse Modulation Classification of Advanced LPI Radar Waveforms

TL;DR: Improved signal processing techniques are developed for the analysis and classification of low probability of intercept (LPI) radar waveforms and the proposed algorithm outperforms the existing techniques of classification and can be used under strategic environment.
Journal ArticleDOI

Practical Signal-Dependent Noise Parameter Estimation From a Single Noisy Image

TL;DR: This paper focuses on the signal-dependent noise model and proposes an algorithm to automatically estimate its parameters from a single noisy image, which outperforms the state-of-the-art methods.

Backscatter measurements by seafloor‐mapping sonars: guidelines and recommendations

TL;DR: In this paper, the authors discuss the needs and expectations that the multibeam community has for backscatter data and the intentions that the community collects the data for. And they briefly explore some potential common data formats based on the data user's diversity of applications and metadata requirements.