Adaptive Signal Processing Techniques: An Application to Raman Spectroscopy

1989 ◽  
Vol 43 (5) ◽  
pp. 750-758 ◽  
Author(s):  
Ramiro Jordan ◽  
Stephen A. Dyer
Keyword(s):  
Raman Spectra ◽  
Adaptive Filtering ◽  
Adaptive Filters ◽  
Adaptive Algorithms ◽  
Adaptive Signal Processing ◽  
Least Square ◽  
Least Mean Square ◽  
Processing Techniques ◽  
Adaptive Signal ◽  
Signal Processing Techniques

In this study, the applicability of adaptive filters and algorithms to the enhancement of Raman spectra is investigated. The two adaptive-filter realizations described are the transversal (tapped-delay) and the lattice. The two adaptive algorithms considered are the least-mean-square and the modified least-square. Experimental results demonstrate that enhancement of Raman spectra obtained at low signal-to-noise ratios can be achieved. Extrapolation is applied to enhance the inherently low resolution of Raman spectra. Adaptive filtering techniques yield results comparable to those obtained from maximum-entropy methods for estimating spectra, with a resolution exceeding that allowed by Fourier procedures.

Adaptive Filters

2011 ◽  
pp. 190-224
Author(s):  
Sergio L. Netto ◽  
Luiz W.P. Biscainho
Keyword(s):  
Adaptive Filters ◽  
Adaptive Signal Processing ◽  
Recursive Least Squares ◽  
Least Mean Square ◽  
Affine Projection ◽  
Signal Prediction ◽  
Iir Filter ◽  
Adaptive Signal ◽  
Filter Algorithms ◽  
Normalized Lms

This chapter focuses on the main aspects of adaptive signal processing. The basic concepts are introduced in a simple framework, and its main applications (namely system identification, channel equalization, signal prediction, and noise cancellation) are briefly presented. Several adaptive algorithms are presented, and their convergence behaviors are analyzed. The algorithms considered in this chapter include the popular least-mean square (LMS), its normalized-LMS version, the affine-projection with the set-membership variation, the recursive least-squares (RLS), the transform-domain, the sub-band domain, and some IIR-filter algorithms such as the equation-error (EE) and the output-error (OE) algorithms. The main purpose of all this presentation is to give general guidelines for the reader to choose the most adequate technique for the audio application at hand.

scholarly journals Active Power Filter Control Using Adaptive Signal Processing Techniques

2013 ◽  
Vol 05 (04) ◽  
pp. 1115-1119 ◽  
Author(s):  
S. A. Temerbaev ◽  
V. P. Dovgun ◽  
N. P. Bojarskaja ◽  
A. F. Sinyagovski
Keyword(s):  
Signal Processing ◽  
Active Power Filter ◽  
Adaptive Signal Processing ◽  
Active Power ◽  
Power Filter ◽  
Processing Techniques ◽  
Adaptive Signal ◽  
Signal Processing Techniques
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