Detection of Gaussian Signal Using Adaptively Whitened Data
نویسندگان
چکیده
منابع مشابه
Adaptive Signal Detection in Auto-Regressive Interference with Gaussian Spectrum
A detector for the case of a radar target with known Doppler and unknown complex amplitude in complex Gaussian noise with unknown parameters has been derived. The detector assumes that the noise is an Auto-Regressive (AR) process with Gaussian autocorrelation function which is a suitable model for ground clutter in most scenarios involving airborne radars. The detector estimates the unknown...
متن کاملmetrics for the detection of changed buildings in 3d old vector maps using als data (case study: isfahan city)
هدف از این تحقیق، ارزیابی و بهبود متریک های موجود جهت تایید صحت نقشه های قدیمی سه بعدی برداری با استفاده از ابر نقطه حاصل از لیزر اسکن جدید شهر اصفهان می باشد . بنابراین ابر نقطه حاصل از لیزر اسکنر با چگالی حدودا سه نقطه در هر متر مربع جهت شناسایی عوارض تغییر کرده در نقشه های قدیمی سه بعدی استفاده شده است. تمرکز ما در این تحقیق بر روی ساختمان به عنوان یکی از اصلی ترین عارضه های شهری می باشد. من...
Signal detection Using Rational Function Curve Fitting
In this manuscript, we proposed a new scheme in communication signal detection which is respect to the curve shape of received signal and based on the extraction of curve fitting (CF) features. This feature extraction technique is proposed for signal data classification in receiver. The proposed scheme is based on curve fitting and approximation of rational fraction coefficients. For each symbo...
متن کاملadaptive radar signal detection in gaussian clutter with autoregressive model using kalman fillter
in this paper, we deal with the problem of adaptive coherent signal detection in gaussian interference (clutter plus noise) for surveillance pulse radars. some of the adaptive radar detectors exploit the ar model for clutter. most of these detectors have been obtained using the glr test. this test relies on the maximum likelihood estimation whose accuracy depends on the number of data. whereas,...
متن کاملP81: Detection of Epileptic Seizures Using EEG Signal Processing
Epilepsy is the most common brain diseases that cause many problems in the daily life of the patient. In most attempts to automatic detection, the attack used an EEG. In this paper, The complete data set consists of five sets recorded from normal and epileptic patients. Each set containing 100 single-channel EEG segments. Here we used first and last sets (A and E). Set A consisted of segments r...
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: IEEE Signal Processing Letters
سال: 2019
ISSN: 1070-9908,1558-2361
DOI: 10.1109/lsp.2019.2893761