Investigated and stochastic signal processing theory and algorithms. Topics include signals, systems and discrete transformations, linear filtering, fast Fourier transform and nonlinear filtering, spectral estimation, linear prediction, adaptive filtering, and array signal processing. Image processing and tuning in a short time; Linear predictive coding. Image encoding and reconstruction. The curriculum includes laboratory experiences closely related to the content.