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We present a new QRD-based technique for optimal multichannel filtering and its application to multichannel acoustic noise reduction. A recursively calculated adaptive filter optimally estimates the speech component in a noisy signal. The complexity of this algorithm is an order of magnitude than that of existing optimal filtering based algorithms which are mainly based upon SVD-decompositions, while...
We consider lossy image coding methods using integer wavelet transforms and describe new applications of lossless JPEG2000 coding for re-encoding without the use of any coding parameters, such as the target rate. The relationship between lossless and lossy coding based on JPEG2000 is discussed and an efficient lossless coding method for lossy images is proposed. The proposed method is useful for the...
In this paper, we propose new design methods for linear phase FIR filters with signed power-of-two (SP2) coefficients based on a semi-definite programming (SDP) relaxation method. The proposed methods include a linear programming (LP) relaxation and a relaxation by adding triangle inequalities. Although such the design problems are known as one of the NP-hard problems, these methods can solve the...
We address the problem of object recognition in computer vision. The Attributed Relational Graph (ARG) method proposed in [?] is modified to extend its applicability under object scaling condition. This consists in using representation stage, unary and binary attributes which do not involve measuring the shape of regions. The experimental result shows the new method can cope with object scaling better...
In this paper, we address the problem of estimating the instantaneous frequency (IF) of an FM modulated signal in the presence of multiplicative and additive noise processes. In particular, we consider the estimation of the IF of the received signal at the mobile unit antenna. We show that the existing non-parametric methods based on the Wigner-Ville spectrum (WVS) fail to extract the desired signal...
We intend in this paper to recover shocks occurring in the situation where they are highly probable using blind deconvolution methods: order 2 (Yule-Walker), higher order (normalized cumulants), and mutual information. We define a shock probability process derived from a Bernoulli process and we show that, in opposite to the other two methods, the normalized cumulants are highly dependent on the shock...
In this paper, we investigate the problem of three-dimensional (3D) frequency estimation. We propose a new approach based on the shift invariance property in the data structure. The data are modeled as a sum of 3D complex exponential (SCE) embedded in white noise. In 1 and 2D cases, the approaches based on invariance property have shown efficiency, the purpose of this paper is to take advantage of...
A new direct adaptive algorithm for feedforward active noise control (ANC) is proposed in a general case when the primary and secondary path responses are all uncertain. In order to reduce the actual canceling error, the two artificial errors are introduced and are forced into zero by adjusting three adaptive FIR filters in an on-line manner. The distinctive feature of the method is that the adjusted...
Successful integration of IP/VC blocks requires a set of view that provides the appropriate information for each IP Block through the design flow for an IP-integration system. In this paper, we present a methodology of IP integration in a System-on a chip (SOC) design, that exploits both IP designer and SOC integrator constraints. First, we describe a method to extract and specify IP functional and...
Specific Absorption Rate (SAR) designates the electromagnetic power density deposited per unit mass of biological tissue. SAR measurements are required to assess the compliance of mobile phones with existing standards and recommendations. This paper presents a new approach where SAR calculation is based on a parametric reconstruction of the E-field distribution in the phantom to assess rapid SAR measurements...
Wave separation is a main issue in seismic signal processing. Two waves having different polarizations can be separated if the polarization of each wave is known. This is performed by an oblique polarization filter. This technique developped recently has a crucial issue. It requires the estimation of the polarization of each wave, which can be a difficult task. This paper presents the use of the time-scale...
Possible optimization techniques for RSA algorithm realization on assembler of Texas Instruments TMS320C54x family of signal processors are considered. Obtained results justify the use of the proposed optimization methods and also show that the TMS320C54x family of signal processors is suitable for the RSA algorithm realization. Therefore, they are proposed for realization of some coprocessor module...
This paper proposes a low delay temporal decomposition (TD) method for line spectral frequency (LSF) parameters called “Limited Error Based Event Localizing Temporal Decomposition” (LEBEL-TD, for short). In previous work with TD, TD analysis was usually performed on each speech segment of about 200–300 ms or more, making it impractical for online applications. In this present work, the event localization...
In this paper we propose a synergy of processing on parallel processor arrays (systolic or SIMD) and multithreading, termed multithreaded systolic computation. The multithreaded systolic computation principle is demonstrated on a programmable systolic array executing a set of linear algebra algorithms. We demonstrate that multithreaded systolic computation can provide throughput improvements that...
In multiuser detection, the MMSE(minimum mean square error) detector is known to be effective for suppressing co-channel multiple access interference. This method needs training symbols, but recently blind adaptive methods have been proposed. In this paper we propose an adaptive algorithm for blind multiuser detection that uses a new cost function, and report theoretical and simulation results about...
In this paper we address the problem of Bayesian model selection and estimation, of signals that consists of a sum of complex sinusoids (“cisoids”). This kind of signal models are abundant in a wide range of engineering applications, but has usually been treated in a non Bayesian way. The recent development of Markov Chain Monte Carlo methods (MCMC) have opened up the possibility to use Bayesian methods...
The problem of the design and effective implementation of multi-dimensional filter banks with prescribed properties is considered. Several algorithms for polyphase matrices factorization are presented. After such a factorization the number of computations may become much lower. The results for the 2-channel FBs are given. For the 3-channel multirate system an algorithmic version of Suslin's stability...
In a recent paper the authors proposed a new Variable Step LMS algorithm for transform domain. In that algorithm the step-size structure was analyzed from a new point of view. The step-size has two components: a global component, that is the same for each filter coefficient and a local time-variable component, given by the power normalization. Making the global component also time-variable, the speed...
In this paper we propose a new paradigm for acoustic echo control and find a powerful echo cancellation method. We apply independent component analysis for separation of near-end signal from the echo. During double talk the near-end and far-end signals are uncorrelated and the underlying echo is a weighted sum of far-end signals with different delays (echo components). The simulation results obtained...
In this paper, we present a classifier fusion solution for automatic facial expression recognition. We represent our data using a sorted Principal Component Analysis, followed by a Linear Discriminant Analysis: the selection of principal components first performs a dimensionally reduction by improving discriminant capacities and then, a Linear Discriminant Analysis provides a class representation...
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