Random noise theory.

Principles of random signal analysis and low noise design :the power spectral density and its applications / by: (Electronic resources)

Principles of random signal analysis and low noise design :the power spectral density and its applications / by: (Language materials, printed)

Introduction to random signals and noise / by: (Language materials, printed)

Detection of random signals in dependent Gaussian noise by: (Electronic resources)

Noise and randomness in living system by: (Electronic resources)

Noise signalsmodelling and analyses / by: (Electronic resources)

White noise theory.

Signal processing.

Probability Theory and Stochastic Processes.

Neurobiology.

Noise.

Noise Control.

Signal detection.

Electronic noise.

Biophysics.

Digital and Analog Signal Processing.

Mathematics.

Electrical and Electronic Engineering.

Power spectra.

Electronic circuits

Functional Analysis.

Neuroscience.

Information and Communication, Circuits.

Life Sciences.

Medical Genetics.

Stochastic processes.

Random noise theory.

Mathematical Models of Cognitive Processes and Neural Networks.