It is good to be able to pass on the best wishes of the International Institute of Refrigeration (IIR) and to remind you that the IIR will be holding its Gustav Lorentzen Memorial Conference in Glasgow next year. I hope that the IIR conference will be as well supported and as valuable as this CIBSE/ASHRAE conference. You are warmly invited to attend the Gustav Lorentzen conference in Glasgow, w...

The adequateness of IIR models for acoustic echo cancellation is a long-standing question, and the answers found in the literature are conflicting. We use results from rational Hankel norm and least-squares approximation, and we recall a test that provides a priori performance levels for FIR and IIR models. We apply this test to measured acoustic impulse responses. Upon comparing the performanc...

This chapter initially defines what characterizes and distinguishes research frameworks from research models. The Laboratory Research Framework for IR illustrates the case. We define briefly what is meant by the concept of research design, including research questions, and what this chapter regards as central IIR evaluation research settings and variables. This is followed by a description of I...

A comparison of various low-pass filter architectures that are commonly used in Sigma-Delta ( C A ) demodulators is presented in the paper. In this comparison the conventional demodulator filter architectures such as the optimal FIR filter, Sinck filter and non-linear Zoomer filter are considered. It is shown that the optimum FIR filter provides the most attractive properties among the conventi...

PURPOSE Iterative image reconstruction (IIR) algorithms in computed tomography (CT) are based on algorithms for solving a particular optimization problem. Design of the IIR algorithm, therefore, is aided by knowledge of the solution to the optimization problem on which it is based. Often times, however, it is impractical to achieve accurate solution to the optimization of interest, which compli...

This paper is focused on the learning algorithms for dynamic multilayer perceptron neural networks where each neuron synapsis is modelled by an infinite impulse response (IIR) filter (IIR MLP). In particular, the Backpropagation Through Time (BPTT) algorithm and its less demanding approximated on-line versions are considered. In fact it is known that the BPTT algorithm is not causal and therefo...

Digital filtering is an integral part of many digital signal processing algorithms. Digital filters are characterized as either recursive [infinite impulse response (IIR)] or non-recursive [finite impulse response (FIR)] filters. IIR filters require a smaller order for the same set of specifications compared to FIR filters, while FIR filters provide a linear phase property. However, IIR filters...

In many signal processing applications, adaptive frequency estimation and tracking of noisy narrowband signals is often required in communications, radar, sonar, controls, biomedical signal processing, and the applications such as detection of a noisy sinusoidal signal and cancellation of periodic signals. In order to achieve the objective of frequency tracking and estimation, an adaptive finit...

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With the rapid development of computers and communications, more and more chips are required to have small size, low-power and high performance. Digital filter is one of the basic building blocks used for implementation in Very Large Scale Integration (VLSI) of mixed-signal circuits. This paper presents a design of decimation filter used for digital filtering. It consists of Cascode Integrated ...