Global convergence of a blind multichannel identification algorithm
In this paper, we propose an adaptive algorithm for blind identification of single-input multiple-output (SIMO) systems. The algorithm consists of <i>p</i>-1 parallel recursive estimators, where <i>p</i> is the number of system outputs. We analyze the ...
Modeling and identification of LPTV systems by wavelets
We propose a novel model for discrete linear periodic time varying (LPTV) systems using wavelets. The new model is compared with the 'raised model', which is commonly used for modeling LPTV systems. In fact, it turns out that the new model can be viewed ...
Generalized parametric Slant-Hadamard transform
The purpose of this paper is to develop a class of generalized parametric Slant-Hadamard transform of order (<i>N= k<sup>n</sup>,n</i>=2,3,...) where <i>k</i> is an arbitrary integer and to present its fast algorithm. Two-transforms-based generalized ...
Fixed-point fast Hartley transform error analysis
Deterministic models are used to determine the effect of quantization errors in radix-2 DIT-FHT and DIF-FHT algorithms. The results are then supplemented assuming a particular statistical model. Overall scaling and step-by-step scaling are treated ...
A method of extraction of nonstationary sinusoids
A novel method of extraction of nonstationary sinusoidal signals and estimation of their parameters, namely amplitude, phase and frequency is presented. A set of nonlinear differential equations governs the dynamics of the algorithm. Mathematical proofs ...
Radar fusion to detect targets: part III
In two previous papers [2,3] (Signal Processing 82 (8) (August 2002) 1096:80 (9) (September 2000) 1833) the authors have described the concept of cueing a microwave radar (MR) by exploiting the detection of a low-frequency radar (LFR); the target of ...
Performance analysis of joint DOA/TOA estimator
In many applications such as radar and mobile communication, the multipath propagation effects are described as a sum of contributions of a large number of wavefronts that arrives at the sensor array in clusters of rays, distributed around a nominal ...
Subspace intersection method of high-resolution bearing estimation in shallow ocean
Plane-wave DOA estimation techniques yield biased estimates of source bearing angles in the ocean due to the multimode nature of acoustic propagation in an oceanic waveguide. Bearing estimation using matched field processing requires either a ...
Reduced-rank RAKE receivers for asynchronous CDMA signals
Decorrelating RAKE receiver for asynchronous CDMA systems may require decorrelating matched filters that may span over multiple symbols. Thus, a large number of decorrelating matched filter coefficients need to be estimated. By the use of reduced rank ...
Second-order statistics of stochastic spline signals
The representation of signals in spline signal spaces has several advantages compared to the general approach of working with band-limited functions. Among them are the finite support of B-splines, simple manipulations like differentiation, integration, ...
Effects of FDD on open-loop downlink eigen-beamforming in WCDMA mobile communication systems
This work examines the effects of the separation between the carrier frequencies of the uplink and downlink channels duc to frequency division duplex on the performance of open-loop downlink beamforming antenna array techniques that make use of ...
Algorithms for estimating instantaneous frequency
Three algorithms to estimate instantaneous frequency of a frequency-modulated signal is discussed. These algorithms are based on Hilbert transform, Haar wavelet, and generalized pencil of function (GPOF) methods. While GPOF-based frequency detection ...
Performance analysis and error exponents of asymmetric watermarking systems
Digital watermarking is an important technique to protect intellectual property right and to transmit useful secondary data. This paper investigates the performance analysis and error exponents of asymmetric watermarking systems. Asymmetric watermarking ...
Blind source separation using block-coordinate relative Newton method
Presented here is a block-coordinate version of the relative Newton method, recently proposed for quasi-maximum likelihood blind source separation. Special structure of the Hessian matrix allows performing block-coordinate Newton descent efficiently. ...
Bayesian estimation of quantum optical phase by photon counting
Photon count distributions at the outputs of a Mach-Zehnder interferometer are highly dependent on the phase difference between the two arms of the apparatus. Experimental results have shown that phase information can be inferred from the data even at ...