Wireless communication and multimedia applications feature a large amount of matrix operations with different matrix size. These operations require accessing matrix in column order. This paper implements a Multi-Grained Matrix Register File (MMRF) that supports multi-grained parallel row-wise and column-wise access. We implement a 4*4 MIMO decoding with the help of MMRF to illustrate the efficient matrix operations on SIMD processors. Experimental results show that, compared with TMS320C64x+, our SIMD processor can achieve about 5.65x to 7.71x performance improvement by employing the MMRF. By customized design technology, we reduce the area and critical-path delay of MMRF by 17.9% and 39.1% respectively.
Gearbox vibrations acquired by sensors are random cyclostationary signals, which are a combination of periodic and random processes due to the machine’s rotation cycle and interaction with the real world. Since the spectral structure of a gear vibration signal is mainly characterized by the interaction between the meshing harmonics and their sidebands, the spectral correlation density (SCD) function has been applied to gear monitoring. This approach is capable of completely extracting the fault characteristic frequencies related to the defect. This gives a desirable ability to detect the singularity characteristic of a signal precisely. This technique permits both fault detection and identification of the damaged gear. The experimental results show that the proposed method based on cyclostationary analysis can effectively diagnose the faults of gear.
A modal parameter identification software named as N-Broband is developed in VC++ platform. The software is suitable for EMA and OMA with broband identification feature. Meanwhile it also includes narrow band and selected band modal parameter identification methods. Correlation analysis between experiment and FEA can be performed in N-Broband. The validation of N-Broband is carried out by Test.Lab modal analysis software. The result coincides with Test.Lab very well, which indicates that the developed software can be used in modal analysis of real structure.
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