This software package provides implementations of the most central functions required for using the Vandermonde transform, including Vandermonde factorization of symmetric Toeplitz matrices. For an introduction about the Vandermonde transform, see [1], implementation details are available in [2,3,4,5] and some applications can be found in [6,7].
The package contains the following functions
The sub-functions include
Read the README.TXT for usage and syntax.
The MATLAB implementation package is available here: Download
@article{backstrom2013vandermonde, title={Vandermonde Factorization of Toeplitz Matrices and Applications in Filtering and Warping}, author={B{\"a}ckstr{\"o}m, Tom}, journal={IEEE Transactions on Signal Processing}, volume={61}, number={24}, pages={6257--6263}, year={2013}, publisher={IEEE} }
@article{backstrom2014superfast, title={Superfast Vandermonde Factorization of Autocorrelation Matrices of Finite Length Signals}, author={Bäckström, T. and Fischer~Pedersen, C.}, journal={submitted to IEEE Signal Processing Letters}, year=2014, }
@inproceedings{backstrom2014implementation, AUTHOR={T. Bäckström and J. Fischer and D. Boley}, TITLE={Implementation and Evaluation of the {Vandermonde} Transform}, BOOKTITLE={Proc EUSIPCO 2014}, ADDRESS="Lisbon, Portugal", MONTH=sep, YEAR=2014, KEYWORDS="time-frequency transforms, decorrelation, Vandermonde matrix, Toeplitz matrix, speech and audio processing", ABSTRACT="We have recently presented a time-frequency transform, the Vandermonde transform, which simultaneously decorrelates the input signal and provides a frequency-domain representation thereof. While the discrete Fourier transform also provides a frequency-domain representation, its decorrelating performance is only approximate. Although this is good enough for many applications, in applications which require relatively short windows, such as speech and audio processing, the penalty due to the approximate decorrelation limits overall performance. This paper focuses on the practical implementation of the Vandermonde transform. Our purpose is to provide a short review of state-of-the-art methods, a step-by-step instructions for implementation and an evaluation of the performance." }
@inproceedings{pedersen2011leja, author = {Pedersen, C. F.}, title = {Leja ordering {LSFs} for accurate estimation of predictor coefficients}, booktitle = {International Conference on Spoken Language Processing (ICSLP)}, year = {2011}, address = {Florence, Italy}, publisher = {{ISCA}} }
@inproceedings{backstrom2015fftlsf, author = {Bäckström, T. and Fischer~Pedersen, C. and Fischer, J. and Pietrzyk, G.}, title = {Finding line spectral frequencies using the Fast Fourier Transform}, booktitle = {Proc. ICASSP}, year = {2015}, month = apr, }
@inproceedings{backstrom2014decorrelated, title={Decorrelated Innovative Codebooks for {ACELP} Using Factorization of Autocorrelation Matrix}, author={B{\"a}ckstr{\"o}m, Tom and Helmrich, Christian R.}, booktitle={Proc Interspeech}, year={2014} }
@inproceedings{pedersen2014sparse, title={Sparse Time-Frequency Representation of Speech by the {Vandermonde} Transform}, author={Pedersen, Christian Fischer and B{\"a}ckstr{\"o}m, Tom}, booktitle={Proc Interspeech}, year={2014} }
For more information contact Tom Bäckström.