DSP for MATLAB and LabVIEW, Volume IV: LMS Adaptive Filtering

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Synthesis Lectures on Signal Processing DSP for MATLAB™ and LabVIEW™ Volume IV: LMS Adaptive Filtering ABSTRACT KEYWORDS Contents Preface to Volume IV Introduction The Four Volumes of the Series Origin and Evolution of the Series Introduction To LMS Adaptive Filtering Overview In Previous Volumes In this Volume In this Chapter SOFTWARE FOR USE WITH THIS BOOK Cost Function Performance Surface Coefficient Perturbation Method of Steepest Descent Two Variable Performance Surface An Improved Gradient Search Method LMS Used in an FIR Typical Arrangements Derivation Limitation on Mu NLMS Algorithm Contrast-True MSE LMS Adaptive FIR Summary References Exercises Applied Adaptive Filtering Overview Active Noise Cancellation System Modeling Echo Cancellation Single-H Dual-H Sparse Computation Periodic Component Elimination or Enhancement Interference Cancellation Equalization/Deconvolution Deconvolution Of a Reverberative Signal Simulation Spectral Effect of Reverberation Estimating Delay Estimating DecayRate Deconvolution References Exercises A P P E N D I X A Software for Use with this Book File Types and Naming Conventions Downloading the Software Using the Software Single-line function calls Multi-line m-code examples How to Successfully Copy-and-Paste M-code Learning To Use M-Code What You Need with MATLAB and LabVIEW A P P E N D I X B Vector/Matrix Operations in M-Code Row and Column Vectors Vector Products Inner Product Outer Product Product of Corresponding Values Matrix Multiplied by a Vector or Matrix Matrix Inverse and Pseudo-Inverse Biography