We present an efficient architecture for the implementation of delayed least mean square adaptive filter. We use a novel partial product generator and propose a strategy for optimized balanced pipelining across the time consuming combinational blocks of the structure .An efficient systolic architecture of the delayed least mean square adaptive filter based on the processing element We propose a...

A key benefit of system and software modeling is the ability to explore various design alternatives to reach a fixedpoint representation of a concrete system design. Among a diverse set of configuration possibilities, a model engineer must be able to explore the effects of a design decision (e.g., the effect of a specific communication protocol on systemic properties such as throughput) in a ra...

Folds over inductive datatypes are well understood and widely used. In their plain form, they are quite restricted; but many disparate generalisations have been proposed that enjoy similar calculational benefits. There have also been attempts to unify the various generalisations: two prominent such unifications are the ‘recursion schemes from comonads’ of Uustalu, Vene and Pardo, and our own ‘a...

In a companion paper [6] we presented theoretical analysis of an analog network for fixed-point computation. This paper applies these results to several applications from numerical analysis and combinatorial optimization, in particular: 1) solving systems of linear equations; 2) nonlinear programming; 3) dynamic programing; and 4) network flow computations. Schematic circuits are proposed for r...

This article is an introduction to the FRIDGE design environment which supports the design and DSP implementation of fixedpoint digital signal processing systems. We present the tool-supported transformation of signal processing algorithms coded in floating-point ANSI C to a fixed-point representation in SystemC. We introduce the novel approach to control and data flow analysis, which is necess...

We introduce an optimization model of the support vector regression with the group lasso regularization and develop a class of efficient two-step fixed-point proximity algorithms to solve it numerically. To overcome the difficulty brought by the non-differentiability of the group lasso regularization term and the loss function in the proposed model, we characterize its solutions as fixed-points...

Test-program generators play a key role in hardware functional verification of large scale processors. However, in the DSP domain, the usage of full-blown test-program generators is much less popular, mainly due to the limited resources (time and money) available when developing such systems. This paper describes a work-model for the fast, low cost construction of a test-program generator for D...

A comprehensive semantics for functional programs is presented, which generalizes the well-known call-by-value and call-by-name semantics. By permitting a separate choice between call-by value and call-by-name for every argument position of every function and parameterizing the semantics by this choice we abstract from the parameterpassing mechanism. Thus common and distinguishing features of a...

We introduce a notion of category with feedback-withdelay, closely related to the notion of traced monoidal category, and show that the Circ construction of [15] is the free category with feedback on a symmetric monoidal category. Combining with the Int construction of Joyal et al. [12] we obtain a description of the free compact closed category on a symmetric monoidal category. We thus obtain ...

Online addition and multiplication of streaming data is of prime importance in real time processing of digital signals.The choice of data representation varies from fixedpoint for improved precision and reduced complexity to floatingpoint for increased dynamic range. The bit level granularity of FPGAs permits the choice of standard and nonstandard number representations for hardware accelerator...