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| 3. |
- Melander, Johan, et al.
(författare)
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Implementation of a bit-serial FFT processor with a hierarchical control structure
- 1995
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Ingår i: Proc. 1995 European Conf. on Circuit Theory and Design, ECCTD'95. ; , s. I-423-I-426
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Konferensbidrag (refereegranskat)abstract
- A 128-point FFT/IFFT processor has been designed and implemented in a standard CMOS process using the TSPC logic style. The processor uses a high performance bit-serial SIC architecture and calculates an FFT in 58 ms. A structured technique to derive a hierarchical control structure from the pseudo-code for the FFT has been used, resulting in a control unit implemented as a set of co-operating bit-serial control processors. The computational requirements are met using only one butterfly-PE and two RAMs.
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| 4. |
- Palmkvist, Kent, et al.
(författare)
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Digital IF filter for mobile radio
- 1995
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Ingår i: Proc. Nordic Radio Symposium, NRS'95. ; , s. 271-276
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- A multirate IF filter for mobile radio has been implemented in silicon. The filter consists of a decimation stage followed by a bandpass filter. Both parts use a lattice wave digital structure. The design and implementation are described beginning with the filter specification and proceed through algorithmic design, operations scheduling, and resource allocation and assignment. Every step tries to minimize the amount of resources in the final implementation, thereby reducing power consumption. Finally the architecture is selected and the system is described using synthesizable VHDL in order to arrive at a chip layout using standard-cell technology. This design technique is used to reduce the design work.
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| 5. |
- Palmkvist, Kent, et al.
(författare)
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Scheduling of data-independent recursive algorithms
- 1995
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Ingår i: Proc. 1995 European Conf. on Circuit Theory and Design, ECCTD'95. ; , s. II-855-II-858
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Konferensbidrag (refereegranskat)abstract
- A new scheduling formulation for data independent recursive algorithms is proposed. This formulation is intuitive and finds a static rate optimal schedules. Processing elements may be non-preemptive and non-homogenous. Comparison with some other common scheduling methods to increase throughput is made.
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| 6. |
- Perers, Bengt, et al.
(författare)
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Solceller 1996
- 1996
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Rapport (övrigt vetenskapligt/konstnärligt)
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| 8. |
- Sandberg Hiltunen, Maria, 1966-
(författare)
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Deciphering sequence data : A multivariate approach
- 1997
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- In this thesis, attention has been focused on the quantitative description of nucleic acids, proteins and peptides. The strategy was to use multivariate chemometrical methods for improving the understanding of the complex structural codes of these kinds of biological molecules. Tools have been developed that enable quantitative modelling of biological molecules, i.e. models based on data that quantitatively describes their properties. The advantage of such models is that they provide interpretations in terms of chemical characteristics for complex features such as similarity, dissimilarity and potency.By a multivariate physical-chemical characterization of the building blocks of nucleic acids and proteins, i.e. nucleosides and amino acids, descriptive scales have been developed, so called principal properties. The scales give a description of the intrinsic properties of these building blocks. The multivariate characterization results in a multi-property matrix. A principal component analysis of the multi-property matrix gives a small number of latent variables which are considered as the principal properties of the characterized molecules.The principal property scales may be used for a wide range of different purposes, such as detecting trends and groupings in large sequence data sets, and for analyzing quantitative relationships between structure and function. In statistical experimental design, the descriptors are well suited as design variables to select combinations of amino acids in such a way that they span a wide range of properties.The use of these principal property descriptors is demonstrated in the quantitative modelling of relationships between structure and activity of various peptide series, DNA-promoters and in the quantitative modelling of transfer ribonucleic acid sequence data (tRNA).
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