Joint spectrum and AOA estimation for cognitive radios using adaptive multichannel sequential lattice prediction filtering method

2015 ◽  
Author(s):  
M.T. Ozden
Keyword(s):  
Cognitive Radios ◽  
Joint Spectrum ◽  
Filtering Method

Paper Filtering Method Using Features of Co-Author Research Group, Subject Category and Terminology

2008 ◽  
Vol 128 (8) ◽  
pp. 1358-1366 ◽  
Author(s):  
Masao Yamamoto ◽  
Hisao Mase ◽  
Hiroshi Yajima ◽  
Hiroshi Kinukawa
Keyword(s):  
Research Group ◽  
Filtering Method ◽  
Subject Category

APLIKASI PENAJAMAN CITRAA STREET VIEW MENGGUNAKAN METODE GRAMD SCHMIDT SPECTRAL SHARPENING DAN HIGH PASS FILTERING

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Erna Verawati ◽  
Surya Darma Nasution ◽  
Imam Saputra
Keyword(s):  
Image Processing ◽  
Visual Information ◽  
Intensity Difference ◽  
Original Image ◽  
Filtering Method ◽  
The Road ◽  
Street View ◽  
Result Show ◽  
Filter Process ◽  
High Pass

Sharpening the image of the road display requies a degree of brightness in the process of sharpening the image from the original image result of the improved image. One of the sharpening of the street view image is image processing. Image processing is one of the multimedia components that plays an important role as a form of visual information. There are many image processing methods that are used in sharpening the image of street views, one of them is the gram schmidt spectral sharpening method and high pass filtering. Gram schmidt spectral sharpening method is method that has another name for intensity modulation based on a refinement fillter. While the high pass filtering method is a filter process that btakes image with high intensity gradients and low intensity difference that will be reduced or discarded. Researce result show that the gram schmidt spectral sharpening method and high pass filtering can be implemented properly so that the sharpening of the street view image can be guaranteed sharpening by making changes frome the original image to the image using the gram schmidt spectral sharpening method and high pass filtering.Keywords: Image processing, gram schmidt spectral sharpening and high pass filtering.

scholarly journals QuickBird image-based estimation of tree stand density using local maxima filtering method: A case study in a Beijing forest

PLoS ONE ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. e0208256
Author(s):  
Shuhan Wang ◽  
Xiaoli Zhang ◽  
Mohammed Abdelmanan Hassan ◽  
Qi Chen ◽  
Chaokui Li ◽  
...  
Keyword(s):  
Stand Density ◽  
Tree Stand ◽  
Local Maxima ◽  
Filtering Method

New filtering method for GPS/INS integrated navigation

2010 ◽  
Author(s):  
Xiao-chun Zhong ◽  
Tao Song ◽  
Biao Zheng ◽  
Tingting Zhang
Keyword(s):  
Integrated Navigation ◽  
Filtering Method
Sign in / Sign up

Export Citation Format

Share Document