<p>We propose a&#xa0;modified method for the efficient spectral and correlation space-and- time signal processing intended for operation under the conditions of high dynamics of variations of the intensity of input flow and changes in the frequency-time resource of digital processing. The method is based on the adaptation of algorithms and refinement of the aims and tasks of processing. We develop a&#xa0;methodology of getting high instrumental resolution of signals according to the spectral and/or correlation features. We also consider some aspects of increasing the efficiency of space-time signal processing actual for the radio-engineering measuring systems with digital phased-array antennas and systems aimed at the selection of moving targets. In the updated method, we take into account the variations (type changes) of processed signals. We propose special measures aimed at reducing the requirements to the dynamic range of the input flow by using rough (low-bit and binary) statistics. The frequency range is extended to include the time and space spectra of the distribution laws (of characteristic functions). The engineering (hardware and software) constraints connected with the use of coarse quantization of signals are also taken into account. The efficiency of processing is attained by whitening (rejection of the predominant components) of passive interference prior to the main stage, i.e., the application of the method of invertible spectral analysis and traditional stochastic algorithms, including the increase in sample sizes (apertures and windows) and elevation of the rate of convergence of the measurement data in the basic Monte-Carlo method. The obtained results can be used in radio-engineering measuring complexes, including radar systems, for solving the problems of radio and radio-engineering monitoring and measuring the range and bearing coordinates.</p>