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Orthogonal least squares learning algorithm for radial basis function networks
TLDR
The authors propose an alternative learning procedure based on the orthogonal least-squares method, which provides a simple and efficient means for fitting radial basis function networks. Expand
An LMS style variable tap-length algorithm for structure adaptation
  • Y. Gong, C. Cowan
  • Mathematics, Computer Science
  • IEEE Transactions on Signal Processing
  • 1 July 2005
TLDR
This paper proposes an improved variable tap-length algorithm using the concept of the pseudo fractionaltap-length (FT), which not only retains the advantages from both the SF and the GD algorithms but also has significantly less complexity than existing algorithms. Expand
Practical identification of NARMAX models using radial basis functions
A wide class of discrete-time non-linear systems can be represented by the nonlinear autoregressive moving average (NARMAX) model with exogenous inputs. This paper develops a practical algorithm forExpand
Parallel recursive prediction error algorithm for training layered neural networks
A new recursive prediction error algorithm is derived for the training of feedforward layered neural networks. The algorithm enables the weights in each neuron of the network to be updated in anExpand
Virtex FPGA implementation of a pipelined adaptive LMS predictor for electronic support measures receivers
High-speed field-programmable gate array (FPGA) implementations of an adaptive least mean square (LMS) filter with application in an electronic support measures (ESM) digital receiver, are presented.Expand
Adaptive Filters and Equalisers
1 Introduction.- 1.1 Adaptive Signal Processing.- 1.2 The Adaptive Filter.- 1.3 Modes of Operation.- 1.4 Application of Adaptive Filters.- 1.5 Summary.- 2 Adaptive Fir Filter Algorithms.- 2.1Expand
A low-complexity soft-MIMO detector based on the fixed-complexity sphere decoder
TLDR
Simulation results show that the soft-FSD can be used to approximate the performance of the LSD while having a considerably lower and fixed complexity, making the algorithm suitable for hardware implementation. Expand
Adaptive equalization of finite nonlinear channels using multilayer perceptron
TLDR
It is shown that difficulties associated with channel non-linearities and additive noise correlation can be overcome by the use of equalizers employing a multi-layer perceptron structure, providing further evidence that the neural network approach proposed recently by Gibson et al. is a general solution to the problem of equalization in digital communications systems. Expand
On the Diversity-Multiplexing Tradeoff for Wireless Cooperative Multiple Access Systems
TLDR
A spectrally efficient strategy is proposed for cooperative multiple access channels in a centralized communication environment with N users and it is demonstrated that the proposed strategy can achieve optimal tradeoff for multiplexing gains 0 les tau les1 whereas the compared cooperative scheme is only optimal for 0 lesTau les (1/N) . Expand
High Speed FPGA-Based Implementations of Delayed-LMS Filters
TLDR
The method has been used to derive a series of retimed delayed LMS (RDLMS) architectures, which allow a 66.7% reduction in delays and 5 times faster convergence time thereby giving superior performance in terms of throughput rate when compared to previous work. Expand
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