MAP detection and ML estimation of signals overlapping in time and frequency for both Gaussian and Laplacian noise.
Andreas GerberRui J. P. de FigueiredoPublished in: ICASSP (1983)
Keyphrases
- weak signal
- signal detection
- maximum likelihood
- low signal to noise ratio
- weak signal detection
- map estimation
- maximum a posteriori
- frequency analysis
- low frequency
- zero crossing
- bandpass
- instantaneous frequency
- joint detection
- high frequency
- short time fourier transform
- gaussian white noise
- noisy environments
- correlation function
- gaussian noise
- estimation error
- generalized gaussian
- band limited
- signal noise ratio
- white noise
- spectrum analysis
- maximum a posteriori probability
- estimation algorithm
- random noise
- detection algorithm
- signal processing
- frequency modulation
- frequency hopping
- generalized likelihood ratio
- frequency domain
- fourier analysis
- fundamental frequency
- edge detection
- power spectra
- frequency spectrum
- anti noise
- noisy data
- target detection
- image processing
- object detection
- denoising
- noise reduction
- biomedical signals
- image noise
- differential operators
- received signal