Abstract-High-resolution parameter estimation techniques have recently been applied to jointly estimate multiple signal parameters. In this work, we consider the problem of determining the directions and center frequencies of a number of narrowband sources in a band of interest. We present a joint angle-frequency estimation method, based on the multidimensional ESPRIT algorithm. A perturbation error analysis gives bounds on the parameter estimates and provides optimal values for the temporal and spatial smoothing parameters. The analysis is shown to be consistent with simulation results.

In this paper, we present a unified approach to the (related) problems of recovering signal parameters from noisy observations and the identification of linear system model parameters fiom observed inputloutput signals, both using singular value decomposition (SVD) techniques. Both known and new SVD-based identification methods are classified in a subspace-oriented scheme. The singular value decomposition of a matrix constructedfr-om the observed signal data provides the key step to a robust discrimination between desired signals and disturbing signals in terms of signal and noise subspaces. The methods that are presented are contrasted by the way in which the subspaces are determined and how the signal or system model parameters are extracted fiom these subspaces. Typical examples such as the direction-of-arrival problem and system identification from inputloutput measurements are elaborated upon, and some extensions to time-varying systems are given.

In this paper we present an approach for quantitative analysis of application-specific dataflow architectures. The approach allows the designer to rate design alternatives in a quantitative 1: IntroductionIn the application domain of real-time video, the required processing power is in the order of hundreds of Risc-like operations per pixel, while the data rate of pixel streams is in the range of 10 to 100 Msamples per second. Consequently architectures are needed that perform billions of operations per second and have an internal communication bandwidth of Gbytes per second.In the application domain of real-time video we focus on dedicated architectures that support the concept of streams [17] and achieve the required performance by exploiting the inherent parallelism of the applications on domain-specific, coarse-grain processors, with limited internal flexibility (i.e. weakly programmable). An example of such a domain-specific architecture is given in figure 1. The architecture consists of different dedicated application-specific coarse-grain processors that operate independently of each other on data-streams. These streams are exchanged between the coarse-grain processors via a communication network and is controlled by some global controller. These kinds of architectures are typically embedded in a larger system that also contains memory and a general purpose processor, e.g. a Risc processor.In the design of these architectures, many choices have to be made. In this paper we present a simulation environment that aids the designer in making these choices based on quantitative information. In section 2 we present our problem statement. A solution approach is given in section 3. In section 4 we review related work of quantitative evaluation of design alternatives. The solution approach is further detailed for application-specific dataflow architectures in the following sections. In

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We present a methodology for the exploration of signal processing architectures at the system level. The methodology, named SPADE, provides a means to quickly build models of architectures at an abstract level, to easily map applications, modeled as Kahn Process Networks, onto these architecture models, and to analyze the performance of the resulting system by simulation. The methodology distinguishes between applications and architectures, and uses a trace-driven simulation technique for co-simulation of application models and architecture models. As a consequence, architecture models need not be functionally complete to be used for performance analysis while data dependent behavior is still handled correctly. We have used the methodology for the exploration of architectures and mappings of an MPEG-2 decoder application.