The procedures employed when designing broadband optical receiver MMICs, for operation in the multi Gbit/s regime, are discussed. Issues of modelling, topologies, signal shaping and filtering, and design techniques ar...
The procedures employed when designing broadband optical receiver MMICs, for operation in the multi Gbit/s regime, are discussed. Issues of modelling, topologies, signal shaping and filtering, and design techniques are addressed.
The most commonly used MMIC power splitters and combiners are the Wilkinson, bus-bar and parallel matching networks. The Lange couplers, distributed transmission line combiners and travelling wave combiners, whilst ca...
The most commonly used MMIC power splitters and combiners are the Wilkinson, bus-bar and parallel matching networks. The Lange couplers, distributed transmission line combiners and travelling wave combiners, whilst capable of monolithic implementation at mm-wave frequencies, are still generally used in an off-chip hybrid arrangement. The most interesting broadband techniques are the synthesised matching networks and the Dolph-Chebychev tapered transmission line approaches.
Wide band amplifiers with multi-octave frequency response are required for instrumentation, high data rate fibre-optic communications systems and electronic warfare applications. This paper describes the distributed o...
Wide band amplifiers with multi-octave frequency response are required for instrumentation, high data rate fibre-optic communications systems and electronic warfare applications. This paper describes the distributed or travelling wave amplifier (TWA) design approach as a means of realising such frequency band widths. The principle of the TWA design is first outlined, and then the details of the practical realisation in an MMIC environment are discussed using designs fabricated on GMMT's H40 Foundry.
Like any topic, DSP can be learned completely on your own, and the resulting depth of proficiency need have no limits just because no formalized study programme has been followed. The advantage of experiencing a rigor...
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Like any topic, DSP can be learned completely on your own, and the resulting depth of proficiency need have no limits just because no formalized study programme has been followed. The advantage of experiencing a rigorous learning programme comes primarily in the acceleration that a good guide can elicit and in the level of confidence gained as it is realized that one is picking up mainstream terminology and concepts. The author examines the organisation of DSP courses with reference to his experience in undergraduate instruction (BEng level), dedicated MSc study of DSP and short courses for engineers/scientists/mathematicians based in industry.
Biomedicine represents an important and very fertile area both for the application of conventional digital signal processing (DSP) techniques and the development of new and robust DSP algorithms. Signal processing, in...
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Biomedicine represents an important and very fertile area both for the application of conventional digital signal processing (DSP) techniques and the development of new and robust DSP algorithms. Signal processing, in various forms, is at the core of a large number of medical equipment today, and it continues to play a crucial role in the analysis of medical data. Some of the key aspects of medical signal processing are presented. A number of novel, real world medical applications of DSP are described. Examples are drawn from a number of areas of medicine and health care, and include neurophysiology and obstetrics.
This tutorial paper reviews methods of engineering efficient assembly-language software for single-chip DSPs based on formal and informal methods developed over several years in the Speech Technology Unit at BT Labora...
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This tutorial paper reviews methods of engineering efficient assembly-language software for single-chip DSPs based on formal and informal methods developed over several years in the Speech Technology Unit at BT Laboratories.
Summary form only given. The author gives an appreciation of the diversity of digital signal processing applications within digital audio. He starts with a look at the audio process chain. Since the final receiver is ...
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Summary form only given. The author gives an appreciation of the diversity of digital signal processing applications within digital audio. He starts with a look at the audio process chain. Since the final receiver is the human hearing mechanism, a small amount of time is given to consideration of current models of its influence on what we actually perceive. This is important in perceptual coding and compression techniques. He then takes a look at audio operations and DSP algorithms, including modern trends and discusses which algorithms can be used where. He reviews the current digital audio products all of which rely to a greater or lesser extent on DSP. This includes the CD player, Mini Disc, and Nicam Stereo TV decoders. He also examines the hardware requirements and how finite register length in computational structures limits the performance by introducing nonlinearity to the processing chain. This can be cured to a large extent by using dither or error spectral noise shaping, both of which are considered.
The objective of this paper is to introduce the basic concepts underlying the area of adaptive filtering from a philosophical and theoretical point of view. It reviews the concepts of linear adaptive filters and provi...
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The objective of this paper is to introduce the basic concepts underlying the area of adaptive filtering from a philosophical and theoretical point of view. It reviews the concepts of linear adaptive filters and provides an indication of some of the many, choices available by way of adaptation algorithms. The basic application structures are introduced and some of the classical "real-world" applications linked to these. Linear adaptive systems are discussed, a description is included of optimum linear estimation, adaptive structures, and algorithms and examples of current application are presented. Current research directions in adaptive signal processing are also indicated.
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