Workshop on Gröbner Bases in Control Theory and Signal Processing May 18 19, 2006 Linz, Austria Special Semester on Gröbner bases and Related Methods 2006 Chairman: Hyungju Park • Hirokazu Anai, Sum of roots with positive real part in system and control theory • N.K. Bose, Two decades (1985-2005) of Gröbner bases in multidimensional systems • Jerome Lebrun, Normal form methods in statistical si...

The analytic signal method via the Hilbert transform is a key tool in signal analysis and processing, especially in the time-frquency analysis. Imaging and other applications to multidimensional signals call for extension of the method to higher dimensions. We justify the usage of partial Hilbert transforms to define multidimensional analytic signals from both engineering and mathematical persp...

We propose a signal processing method that transforms foreign-accented speech to resemble its native-accented counterpart. The problem is closely related to voice conversion, except that our method seeks to preserve the organic properties of the foreign speaker’s voice; i.e., only those features which cue foreign-accentedness are to be transformed. Our method operates at two levels: prosodic an...

Block-coded modulation with interblock memory (BCMIM) is a variation of block-coded modulation (BCM) which is designed for multilevel coding. By providing interblock memory between adjacent blocks, the coding rate of a BCMIM scheme can be increased without decreasing the minimum squared Euclidean distance (MSED) as compared to the original BCM. In an early version of BCMIM, interblock coding is...

Abstract—Correlation matrices are ubiquitous throughout signal processing, networking and in many areas of science [1][2][3]. However, our study of the literature found that there is limited research on the structure of the indices in correlation matrix of wavelet coefficients, and in the exploitation of that structure to improve its computational efficiency. This article seeks to make a contri...

Processing multichannel signals using digital signal processing techniques has received increased attention lately due to its importance in applications, such as multimedia technologies and telecommunications. The perspective of the topic offered here is one that comes primarily from work done in the field of multichannel image processing. The adaptive filtering techniques discussed in the pape...

Recent studies have proposed hierarchical Bayesian model of visual, or other multidimensional signal processing the scaling factors of linear components in which are represented by higherorder components. Here we constructed a two-layer Bayesian model of the early visual cortex and investigated the model properties to provide a explanation of how visual system acquires the even-symmetric respon...

background: this paper proposes a new emotional stress assessment system using multi-modal bio-signals. electroencephalogram (eeg) is the reflection of brain activity and is widely used in clinical diagnosis and biomedical research. methods: we design an efficient acquisition protocol to acquire the eeg signals in five channels (fp1, fp2, t3, t4 and pz) and peripheral signals such as blood volu...

The paper presents basic concepts of the discrete system theory from the viewpoint of Banach algebras and shows that some Banach algebras of sequences are not only suitable mathematical framework for the multidimensional discrete system theory but also open ways to new models of discrete systems and lead to hitherto unknown methods of homomorphic signal processing and deconvolution. Three Banac...

The amount of the data storage in signal processing systems, whose behavior is described by loop-organized algorithmic specifications, has an important impact on the overall energy consumption, chip area, as well as system performance. This paper presents a methodology based on lattices [25] which can be used to address several memory management tasks for applications with high-level specificat...