5 research outputs found

    A Low-Power Two-Digit Multi-dimensional Logarithmic Number System Filterbank Architecture for a Digital Hearing Aid

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    This paper addresses the implementation of a filterbank for digital hearing aids using a multi-dimensional logarithmic number system (MDLNS). The MDLNS, which has similar properties to the classical logarithmic number system (LNS), provides more degrees of freedom than the LNS by virtue of having two, or more, orthogonal bases and the ability to use multiple MDLNS components or digits. The logarithmic properties of the MDLNS also allow for reduced complexity multiplication and large dynamic range, and a multiple-digit MDLNS provides a considerable reduction in hardware complexity compared to a conventional LNS approach. We discuss an improved design for a two-digit 2D MDLNS filterbank implementation which reduces power and area by over two times compared to the original design

    Arithmetic with the Two-Dimensional Logarithmic Number System (2DLNS)

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    The ever increasing demand for low power DSP applications has directed researchers to contemplate a variety of potential approaches in different contexts. Since DSP algorithms heavily rely on multiplication, there are growing demands for more efficient multiplication structures. In this regard, using some alternative number systems, which inherently are capable of reducing the hardware complexity, have been studied. The Multi-Dimensional Logarithmic Number System (MDLNS), a multi-digit and multi-base extension to the Logarithmic Number System (LNS), is considered as an alternative to the traditional binary representation for selected applications. The MDLNS provides a reduction in the size of the number representation with a non-linear mapping and promises a lower cost realization of arithmetic operations with a reduced hardware complexity. In addition, using the recursive multiplication technique, which refers to the published multiplication algorithm that uses smaller multipliers to implement a larger operation, reduces the size of operands and corresponding partial additions. As part of this research, 2DLNS-based multiplication architectures with two different levels of recursion are presented. These architectures combine some of the exibility of software with the high performance of hardware by implementing the recursive multiplication schemes on a 2DLNS processing structure. These implementations demonstrate the efciency of 2DLNS in DSP applications and show outvistanding results in terms of operation delay and dynamic power consumption. We also demonstrate the application of recursive 2DLNS multipliers to reconfigurable multiplication architectures. These architectures are able to perform single and double precision multiplication, as well as fault tolerant and dual throughput single precision operations. Modern DSP processors, such as those used in hand-held devices, may find considerable benefit from these high-performance, low-power, and high-speed recongurable architectures. In the final part of this research work, recursive 2DLNS multiplication architectures have been applied to a FIR lter structure. These implementations show considerable improvement to their binary counterparts in terms of VLSI area and power consumption

    A Multi-Dimensional Logarithmic Number System based central processing unit.

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    Difficult operations in the multi-dimensional logarithmic number system.

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    The Multi-Dimensional Logarithmic Number System (MDLNS), with similar properties to the Logarithmic Number System (LNS), provides more degrees of freedom than the LNS by virtue of having two or more orthogonal bases and the ability to use multiple digits. Unlike the LNS there is no direct functional relationship between binary/floating point representation and the MDLNS representation. Traditionally look-up tables (LUTs) were used to move from the binary domain to the MDLNS domain. This method could be unrealistic for hardware implementation when large binary ranges or multiple digits were used. The lack of this direct relationship also complicated the addition and subtraction operations in MDLNS. Again LUTs were used to perform these operations but they could become unrealistically large when multiple digits or large index ranges were used. The work presented in this thesis describes efficient techniques for implementing difficult MDLNS operations such as binary to MDLNS conversion as well as addition and subtraction. These techniques require the use of a new memory device with range addressing capabilities, a RALUT (range addressable look-up table). The RALUT reduces the exponential complexity associated with the traditional use of potentially large LUTs by physically removing redundant hardware used to store the MDLNS conversion, addition, and subtraction information. Other significant MDLNS improvements such as choosing efficient and optimal bases, the one-bit sign architecture, and single-digit MDLNS RALUT reduction are also discussed. These improvements are shown to reduce the hardware implementation and improve performance without sacrificing any of the MDLNS accuracy.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2003 .M87. Source: Dissertation Abstracts International, Volume: 65-01, Section: B, page: 0365. Adviser: Graham Arnold Jullien. Thesis (Ph.D.)--University of Windsor (Canada), 2003

    Techniques for Efficient Implementation of FIR and Particle Filtering

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