Abstract: An acoustic signal processor that samples acoustic data, performs a spectrum analysis of the sampled acoustic data, stores the acoustic data in corresponding frequency bins, and then filters acoustic data stored in a frequency bin by applying a power-law arithmetic operation to the frequency bin acoustic data, such that the power-law arithmetic operation is adaptively changed based on an order dependent determination of whether the frequency bin acoustic data is representative of noise or clutter, or whether it is representative of a signal of an object.

Abstract: An acoustic signal processor that samples acoustic data, performs a spectrum analysis of the sampled acoustic data, stores the acoustic data in corresponding frequency bins, and then filters acoustic data stored in a frequency bin by applying a power-law arithmetic operation to the frequency bin acoustic data, such that the power-law arithmetic operation is adaptively changed based on an order dependent determination of whether the frequency bin acoustic data is representative of noise or clutter, or whether it is representative of a signal of an object.

Abstract: A method for characterizing degree of phase fluctuation of a signal and a signal processor for accomplishing such characterization, is described, in which a time series of complex data vectors are received, initial spectral processing is accomplished, an estimate of the excess phase rotation is made, and a quantity WSC equal to WSC = [ 1 M ⁢ ∑ i = 3 N ⁢ B ⁡ [ C ⁢   ⁢ Φ i ] L ] is calculated.

Abstract: A novel method and apparatus for signal processing are described which discriminate between signals and noise based on the magnitude of the phase fluctuations. In an embodiment of the invention, the governing equations of the process adaptively change in response to the phase and amplitude characteristics of the signals being received for processing. In an embodiment of the invention, an automatic detection method and apparatus is described which has the capability to alert an operator of the presence of signals having phase fluctuation characteristics which match a set of preset conditions (e.g. small fluctuations, medium fluctuations, or large fluctuations).

Abstract: The invention involves a computationally simple and fast method for aligning the phases of complex signals (real (in phase) and imaginary (quadrature) components) before performing a coherent (in phase components) or vector sum, thus achieving the high gains of in phase summations without pre-processing overhead to determine an optimum progression of phase shifts to enable in phase summations. The method of the invention for aligning the phases, without preprocessing to get an optimum set of phase shifts, uses the temporal relationship that exists in the phase angles of successive vectors that occur evenly spaced in time.