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المؤلفAli, Amine Ait Si
المؤلفAmira, Abbes
المؤلفBensaali, Faycal
المؤلفBenammar, Mohieddine
تاريخ الإتاحة2022-12-29T07:34:40Z
تاريخ النشر2013
اسم المنشور2013 25th International Conference on Microelectronics, ICM 2013
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/ICM.2013.6734998
معرّف المصادر الموحدhttp://hdl.handle.net/10576/37783
الملخصPrincipal component analysis (PCA) is a commonly used technique for data reduction in general as well as for dimensionality reduction in gas identification systems when a sensor array is being used. This paper presents the design and implementation of a complete PCA IP core for gas application on the Zynq programmable system on chip (SoC). All steps of PCA starting from the mean computation to the projection of data onto the new space, passing by the normalization process, covariance matrix and the eigenvectors computation are developed in C and synthesized using the new Xilinx VIVADO high level synthesis (HLS). The Jacobi method is used to find the eigenvectors and different approaches for the implementation of the PCA core on the heterogeneous Zynq platform are proposed. The hardware implementation of the presented PCA algorithm for a 16 x 30 matrix is faster than the software one with a speed up of 1.41 times when executed on a desktop running a 64-bit Intel i7-3770 processor at 3.40GHz. It was achieved using an average of 23% of all resources. 2013 IEEE.
اللغةen
الموضوعDesign and implementations
Dimensionality reduction
Hardware implementations
High-level synthesis
Jacobi methods
Normalization process
PCA algorithms
Programmable system on chips
Covariance matrix
Eigenvalues and eigenfunctions
Hardware
Microelectronics
Microprocessor chips
Principal component analysis
العنوانPCA IP-core for gas applications on the heterogenous zynq platform
النوعConference Paper
dc.accessType Abstract Only


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