نتایج جستجو برای: convolution forced detection

تعداد نتایج: 628710  

Journal: :Electronics 2023

The prevention of falls has become crucial in the modern healthcare domain and society for improving ageing supporting daily activities older people. Falling is mainly related to age health problems such as muscle, cardiovascular, locomotive syndrome weakness, etc. Among elderly people, number increasing every year, they can life-threatening if detected too late. Most time, people consume presc...

2001
Thomas Murphy

Students often have a difficult time understanding what convolution is. Students can often evaluate the convolution integral (continuous time case), convolution sum (discrete-time case), or perform graphical convolution but may not have a good grasp of what is happening. In other words, students can solve the formula but often do not understand the result or why they get that result. Most engin...

Homayoon Yektaei, Mohammad Manthouri,

Breast cancer is the most common cancer among women and the earlier it is diagnosed, the easier it is to treat. The most common way to diagnose breast cancer is mammography. Mammography is a simple chest x-ray and a tool for early detection of non-palpable breast cancers and tumors. However, due to some limitations of this method such as low sensitivity especially in dense breasts, other method...

Journal: :Nanotechnology 2015
L Collins M B Okatan Q Li I I Kravenchenko N V Lavrik S V Kalinin B J Rodriguez S Jesse

Kelvin probe force microscopy (KPFM) is a powerful characterization technique for imaging local electrochemical and electrostatic potential distributions and has been applied across a broad range of materials and devices. Proper interpretation of the local KPFM data can be complicated, however, by convolution of the true surface potential under the tip with additional contributions due to long ...

Journal: :IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 2002
Jan-Mark Geusebroek Arnold W. M. Smeulders Joost van de Weijer

We derive the decomposition of the anisotropic Gaussian in a one-dimensional (1-D) Gauss filter in the x-direction followed by a 1-D filter in a nonorthogonal direction phi. So also the anisotropic Gaussian can be decomposed by dimension. This appears to be extremely efficient from a computing perspective. An implementation scheme for normal convolution and for recursive filtering is proposed. ...

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