Jacobi-Based Parallel Adaptive Notch Eigenfilter

Although we find it an efficient method to observe characteristics of the signal surface, on-line eigenanalysis is still not commonly in use in digital signal processing applications. By performing eigendecomposition on a signal correlation matrix, several DSP problems such as spectral estimation and adaptive filtering can be solved. Calculating eigenvalues and eigenvectors of the Signal Autocorrelation Matrix is, compared to other DSP methods, a numerically complex procedure. This problem can be solved in real time by using parallel processor arrays. Considering characteristics of the signal correlation matrix, the use of Symmetric Parallel Jacobi Method on a 2dimensional processor array is a suggested method. Both parallel solutions of the transformation and notch filter simulation results for single and multiple interference sinusoids are presented.