Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing
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Signal reconstruction from sampled data using neural network
- Trang 707-715
For reconstructing a signal from sampling data, the method based on Shannon's sampling theorem is usually employed. The reconstruction error appears when the signal does not satisfy the Nyquist condition. This paper proposes a new reconstruction method by using a linear perceptron and multilayer perceptron as FIR filter. The perceptron, which has weights obtained by learning when adapting the orig...... hiện toàn bộ
#Signal reconstruction #Neural networks #Image reconstruction #Sampling methods #Finite impulse response filter #Frequency #Adaptive filters #Image sampling #Information retrieval #Physics
High-speed voiceband QAM constellation classification in multipath environment
- Trang 455-464
We describe two real-time classifiers of unknown finite point QAM constellations over an nonideal channel. In the proposed schemes, first the transmitted symbols are recovered over a band-limited channel using the inherent cyclostationary characteristics of QAM signals. After equalization, the constellation is determined in the face of an unknown rotation due to an equalizer using a clustering app...... hiện toàn bộ
#Quadrature amplitude modulation #Equalizers #Constellation diagram #Bit rate #Pattern classification #Intersymbol interference #Statistics #AWGN #Telephony #Resource management
Functional connectivity modelling in fMRI based on causal networks
- Trang 119-128
We apply the principle of causal networks to develop a new tool for connectivity analysis in functional magnetic resonance imaging (fMRI). The connections between active brain regions are modelled as causal relationships in a causal network. The causal networks are based on the notion of d-separation in a graph-theoretic context or, equivalently, on the notion of conditional independence in a stat...... hiện toàn bộ
#Intelligent networks #Brain modeling #Numerical analysis #Mutual information #Equations #Entropy #Neuroimaging #Testing #Laboratories #Psychology
Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns
- Trang 139-148
Linear and nonlinear (TDNN) models have been shown to estimate hand position using populations of action potentials collected in the pre-motor and motor cortical areas of a primate's brain. One of the applications of this discovery is to restore movement in patients suffering from paralysis. For real-time implementation of this technology, reliable and accurate signal processing models that produc...... hiện toàn bộ
#Trajectory #Finite impulse response filter #Nonlinear filters #Recurrent neural networks #Neurons #Biological system modeling #Delay effects #Electrodes #Predictive models #Delay estimation
Analog implementation for networks of integrate-and-fire neurons with adaptive local connectivity
- Trang 657-666
An analog VLSI implementation for pulse coupled neural networks of leakage free integrate-and-fire neurons with adaptive connections is presented. Weight adaptation is based on existing adaptation rules for image segmentation. Although both integrate-and-fire neurons and adaptive weights can be implementation only approximately, simulations have shown, that synchronization properties of the origin...... hiện toàn bộ
#Neurons #Image segmentation #Frequency synchronization #Very large scale integration #Hardware #Neural networks #Robustness #Signal processing #Nearest neighbor searches #Information technology
Facial expression analysis using shape and motion information extracted by convolutional neural networks
- Trang 607-616
We discuss a neural networks-based face analysis approach that is able to cope with faces subject to pose and lighting variations. Especially head pose variations are difficult to tackle and many face analysis methods require the use of sophisticated normalization procedures. Data-driven shape and motion-based face analysis approaches are introduced that are not only capable of extracting features...... hiện toàn bộ
#Information analysis #Shape #Motion analysis #Data mining #Neural networks #Feature extraction #Multi-layer neural network #Cellular neural networks #Data analysis #Face recognition
Finding temporal structure in music: blues improvisation with LSTM recurrent networks
- Trang 747-756
We consider the problem of extracting essential ingredients of music signals, such as a well-defined global temporal structure in the form of nested periodicities (or meter). We investigate whether we can construct an adaptive signal processing device that learns by example how to generate new instances of a given musical style. Because recurrent neural networks (RNNs) can, in principle, learn the...... hiện toàn bộ
#Intelligent networks #Multiple signal classification #Recurrent neural networks #Timing #Adaptive signal processing #Signal generators #Signal processing #Machine learning #Bars #Learning systems
Blind signal extraction of signals with specified frequency band
- Trang 515-524
Blind sources separation, independent component analysis (ICA) and related methods are promising approaches for analysis of biomedical signals, especially for EEG/MEG and fMRI data. However, most of the methods extract all sources simultaneously, so it is time consuming and not reliable especially, when the number of sensors is large (more than 100 sensors) and signals are contaminated by huge noi...... hiện toàn bộ
#Frequency #Data mining #Independent component analysis #Biosensors #Signal analysis #Electroencephalography #Band pass filters #Stochastic resonance #Narrowband #Bandwidth
Towards the introduction of human perception in a natural scene classification system
- Trang 385-394
We develop a method to optimize a machine-based semantic categorization of natural images according to human perception. First, the categories are determined through a psychophysical experiment. The similarity matrices obtained from the human responses are analyzed by a multidimensional scaling technique called curvilinear component analysis (CCA). The same is done with an automatic image indexing...... hiện toàn bộ
#Humans #Layout #Image databases #Gabor filters #Indexing #Image retrieval #Psychology #Multidimensional systems #Multimedia databases #Navigation
A hierarchical feedforward adaptive filter for system identification
- Trang 269-278
An architecture for adaptive filtering based upon the previously introduced hierarchical least mean square algorithm is proposed. This pyramidal architecture incorporates sparse connections between the architectural layers with a certain variable degree of overlapping between the neighboring subfilters of the same level. A learning algorithm for this class of structures is derived, based on the ba...... hiện toàn bộ
#Adaptive filters #System identification #Signal processing algorithms #Neurons #Finite impulse response filter #Neural networks #Adaptive signal processing #Biomedical signal processing #Least squares approximation #Feedforward neural networks