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we present a system architecture made of a motherboard with a Xilinx Zynq System on Chip (SoC) and a mezzanine board equipped with an Associative Memory chip (AM). The proposed architecture is designed to serve as an accelerator of general purpose algorithms based on pipeline processing and pattern recognition. We present the open source software and firmware developed to fully exploit the available...
This paper presents a novel hardware architecture based on Associative Memory technology for sequence alignment. The Associative Memory chip (AMchip) architecture employs a huge amount of parallelization to perform real time combinatorial pattern matching. It can be used to perform very fast searches over a large database using hamming weight as a similarity metric. In the presented hardware platform...
This paper presents a novel algorithm for handwritten digit recognition which in addition to its high accuracy, enjoys low implementation complexity. The proposed algorithm sorts all features using mRMR (Minimal-Redundancy and Maximal-Relevance) method and selects the best top features by evaluating the training data. The selected features are then used as input of our classifier. The classifier that...
Kernel based approaches are one of the most well-known methods in regression and classification tasks. Type of kernel function and also its parameters have a considerable effect on the classifier performance. Usually kernel parameters are obtained by cross-validation or validation dataset. In this paper we propose a classification learning approach which learn the parameter (kernel width) of Gaussian...
The paper presents a new mother wavelet adapted from a specific pattern. Wavelet multi-resolution analysis uses this wavelet to detect the position of the pattern in an Infra-Red (IR) signal under scale variation and the presence of noise. IR signal is extracted from IR image sequence recorded by an IR camera, Time of Flight (TOF) sensor configuration. The maximum correlation between the pattern and...
This paper proposes a navigation technique for traveling inside a real-scale 3D model based on human gesture analysis. In the first step, a simple threshold is used as a criterion to analyze gestures. In the next step, a complex criterion will be imposed to the analysis to improve the navigation technique. Walking is a periodic signal and moving feet up and down is a part which is repeated. A mother...
This paper proposes an accurate sensor fusion scheme for navigation inside a real-scale 3D model by combining audio and video signals. Audio signal of a microphone-array is merged by Minimum Variance Distortion-less Response (MVDR) algorithm and processed instantaneously via Hidden Markov Model (HMM) to generate translation commands by word-to-action module of speech processing system. Then, the output...
Bell Laboratories space-time (BLATS) wireless systems are multiple antenna communication schemes that can achieve very high spectral efficiencies in scattering environment with no increase in bandwidth or transmitted power. In this paper we propose an adaptive algorithm for detection in V-BLAST systems based on affine projection algorithm. The proposed technique can improve convergence speed compared...
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