REAL-TIME IMPLEMENTATION OF A NEW RADAR SIGNAL PROCESSOR BASED ON THE TIME-FREQUENCY APPROACH
نویسندگان
چکیده
منابع مشابه
Real-time scheduling in a programmable radar signal processor
T h e n e w trend of designing radar digital signal processors i s n o t only t o improve their processing speed by adopting the parallel multi-processor architecture but also t o m a k e their infrastructure flexible so t ha t one generic digital signal processor framework can be applied to a variety of diflerent radar systems.[10][6][14] T h e key technology t o m a k e such radar digital sig...
متن کاملA Time-Frequency approach for EEG signal segmentation
The record of human brain neural activities, namely electroencephalogram (EEG), is generally known as a non-stationary and nonlinear signal. In many applications, it is useful to divide the EEGs into segments within which the signals can be considered stationary. Combination of empirical mode decomposition (EMD) and Hilbert transform, called Hilbert-Huang transform (HHT), is a new and powerful ...
متن کاملReal Time Implementation of a License Plate Location Recognition System Based on Adaptive Morphology
License plate recognition (LPR) by using morphology has the advantage of resistance to brightness changes; high speed processing, and low complexity. However these approaches are sensitive to the distance of the plate from the camera and imaging angle. Various assumptions reported in other works might be unrealistic and cause major problems in practical experiences. In this paper we considered ...
متن کاملA PRACTICAL APPROACH TO REAL-TIME DYNAMIC BACKGROUND GENERATION BASED ON A TEMPORAL MEDIAN FILTER
In many computer vision applications, segmenting and extraction of moving objects in video sequences is an essential task. Background subtraction, by which each input image is subtracted from the reference image, has often been used for this purpose. In this paper, we offer a novel background-subtraction technique for real-time dynamic background generation using color images that are taken fro...
متن کاملa time-frequency approach for eeg signal segmentation
the record of human brain neural activities, namely electroencephalogram (eeg), is generally known as a non-stationary and nonlinear signal. in many applications, it is useful to divide the eegs into segments within which the signals can be considered stationary. combination of empirical mode decomposition (emd) and hilbert transform, called hilbert-huang transform (hht), is a new and powerful ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Conference on Electrical Engineering
سال: 2006
ISSN: 2636-4441
DOI: 10.21608/iceeng.2006.33684