Radar Signal Detection In NonGaussian Noise Using RBF Neural Network D. Desai SPANN Laboratory Department of. This book contains a unified treatment of a class of problems of signal detection theory. This is the detection of signals in addi tive noise which is Signal Processing 86 (2006) Noiseenhanced nonlinear detector to improve signal detection in nonGaussian noise David Rousseaua, , G. Signal detection in nonGaussian noise. [Saleem A Kassam This book contains a unified treatment of a class of problems of signal. Circuits Syst Signal Process DOI Signal Detection in Correlated NonGaussian Noise Using HigherOrder Statistics Elena Palahina1 Mria. Emphasis is on the analysis and synthesis of different methods of detection when the noise distributions are not completely known. The work concentrates on noise. Read Online or Download Signal Detection in NonGaussian Noise (Springer Texts in Electrical Engineering) PDF. Signal Detection in NonGaussian Noise [Saleem A. FREE shipping on qualifying offers. This book contains a unified treatment of a. An adaptive threshold detector to test for the presence of a weak signal in additive nonGaussian noise of unknown level is discussed. The detector consist The authors deal with the problem of the detection of waveforms over fading channels with impulsive noise, modelled as a compoundGaussian, possibly correl ChapeauBlondeau, F. , Nonlinear test statistic to improve signal detection in nonGaussian noise. IEEE Signal Processing Letters. 124 ADAPTIVE NEURAL NET PREPROCESSING FOR SIGNAL DETECTION IN NONGAUSSIAN NOISE1 Richard P. Lippmann and Paul Beckman MIT Lincoln Laboratory Noiseenhanced nonlinear detector to improve signal detection in nonGaussian noise. compared to the linear detector for various situations of nonGaussian noise. C H A P T E R 14 Signal Detection 14. 2 OPTIMAL DETECTION IN WHITE GAUSSIAN NOISE In the signal detection task outlined above. SEIZIME COLLOQUE GRETSI 1519 SEPTEMBRE 1997 GRENOBLE 1261 Random signal detection in correlated nonGaussian noise Mario Tanda Universit di. SIGNAL DETECTION IN NONGAUSSIAN NOISE BY A KURTOSISBASED PROBABILITY DENSITY FUNCTION MODEL A. Regazzoni2 Department of Biophysical and Electronic. Signal Detection in NonGaussian Noise (Springer Texts in Electrical Engineering) [Saleem A. 1 A Neural Solution for Signal Detection In NonGaussian Noise D. Desai SPANN Laboratory Department of Electrical Engineering Signal detection and modulation classification conventional signal processing algorithms which are developed for different nonGaussian noise. the use of multiuser detection (or derivative signal processing techniques) detection techniques in nonGaussian noise are needed. which are developed for different nonGaussian noise models, etd: Title: Signal Detection and Modulation Classification in NonGaussian Noise. The Paperback of the Signal Detection in NonGaussian Noise by Saleem A. The purpose of this paper is to derive optimum processing structures for use in the detection of signals in additive nonGaussian noise. Detection of Signals in Noise sinusoidal signal in Gaussian noise with no detection losses. This is called noncoherent detection. a new hosbased model for signal detection in nongaussian noise: an application to underwater acoustic communications g. 000 robust detection of fading narrowband signals in nongaussian noise m. schwartz information sciences and systems laboratory Signal detection and modulation classification are becoming increasingly important in a variety of which are developed for different nonGaussian noise. A robust detector of known signal in nonGaussian noise using threshold systems Gencheng Guo, Mrinal Mandaln, Yindi Jing Department of Electrical and Computer. Signal Detection and Modulation Classi cation in NonGaussian Noise Environments Venkata Gautham Chavali (ABSTRACT) Signal detection. ON THE PROBLEM OF OPTIMAL SIGNAL DETECTION IN DISCRETETIME, CORRELATED, NONGAUSSIAN NOISE INTRODUCTION Optimal signal detection in an environment of nonGaussian