1 Introduction. - 1. 1 Adaptive Signal Processing. - 1. 2 The Adaptive Filter. - 1. 3 Modes of Operation. - 1. 4 Application of Adaptive Filters. - 1. 5 Summary. - 2 Adaptive Fir Filter Algorithms. - 2. 1 Introduction. - 2. 2 Optimum Linear Estimation. - 2. 3 Sampled Matrix Inversion. - 2. 4 Least Squares Estimation. - 2. 5 Stochastic Gradient Methods. - 2. 6 Self-Orthogonalising Algorithms. - 2. 7 Summary and Complexity Comparison. - 3 Performance Comparisons. - 3. 1 Introduction. - 3. 2 System Identification. - 3. 3 Channel Equalisation. - 3. 4 Summary and Conclusions. - 4 A Self-Orthogonalising Block Adaptive Filter. - 4. 1 Introduction. - 4. 2 Theoretical Development. - 4. 3 A Practical Algorithm. - 4. 4 Computational Complexity. - 4. 5 Simulation Results. - 4. 6 Conclusions. - 5 The Infinite Impulse Response Linear Equaliser. - 5. 1 Introduction. - 5. 2 The Linear Equaliser. - 5. 3 FIR and IIR Equaliser Performance. - 5. 4 System Identification. - 5. 5 Conclusions. - 6 An Adaptive IIR Equaliser. - 6. 1 Introduction. - 6. 2 The Kalman Filter. - 6. 3 The Kalman Filter as an IIR Equaliser. - 6. 4 An Adaptive Kalman Equaliser. - 6. 5 RLS System Identification. - 6. 6 Conclusions. - 7 Conclusions. - 7. 1 Summary. - 7. 2 Limitations and Further Work. - Appendix A The Fast Kalman Algorithm. - Appendix B The RLS Lattice Algorithm. - Appendix C Circular and Linear Convolution. - References. Language: English