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Huang C.,Hunan International Economics University
Sensors and Transducers

As a newly proposed theory, compressive sensing (CS) is commonly used in signal processing area. This paper investigates the applications of compressed sensing (CS) in wireless sensor networks (WSNs). First, the development and research status of compressed sensing technology and wireless sensor networks are described, then a detailed investigation of WSNs research based on CS are conducted from aspects of data fusion, signal acquisition, signal routing transmission, and signal reconstruction. At the end of the paper, we conclude our survey and point out the possible future research directions. © 2014 IFSA Publishing, S. L. Source

Xu H.,Hunan International Economics University
Journal of Software Engineering

A normal cloud model is presented in this study and it can be used to heavy-tailed nonlinear problems. The characteristic function is studied in the normal cloud distribution and it also is an artificial intelligence model and the analytical expression is derived for its characteristic function. That heavy-tailed characteristics of normal cloud model is deduced and proved by the semi-invariantion of the characteristic function and the kurtosis of normal cloud model is theoretically ranged from 3-9. Numerical fast calculation of the normal cloud probability distribution density of method is studied and the theoretical analysis and experimental simulation are made. Numerical integration techniques are performed in this design. These are applied to the study of t he digital integrator normal cloud mixture distribution speech modeling, these studies can provide a new theoretical foundation for speech enhancement, speech coding, speech recognition. © 2015 Academic Journals Inc. Source

Peng S.,Hunan International Economics University
Journal of Software Engineering

A golf training platform is presented based on mobile cloud computing in this study, this platform is used to make students avoid spending large sums of money to hire a trainer and buy high-end learning device and they just need some sensors, such as gravity sensors and gyroscopes, as well as a laptop or smart Bluetooth module phones, student body message and the golf club sensor data are received with the equipment, via 3G or Wi-Fi, these sensor information are connected to cloud system at any time for posture action alignment and correction. © 2015 Academic Journals Inc. Source

Chen Z.,Hunan International Economics University
Advances in Intelligent and Soft Computing

In order to prevent images from unauthorized access and distribution, the images should be encrypted before transmitting to different customers. The traditional encryption algorithms such as RSA, DES and AES are not suitable for encrypting images due to their high computational complexity. To this end, this paper proposes a new image encryption algorithm that has a lower computational complexity. Compared to those traditional encryption algorithms, the proposed scheme can be considered as a lightweight encryption algorithm. © 2012 Springer-Verlag GmbH. Source

Gao J.-D.,Central South University | Gao J.-D.,Hunan International Economics University
ICIC Express Letters, Part B: Applications

The design and field programmable gate array (FPGA) implementation of high-speed adaptive filter has been a hot research field of signal processing. Aiming at the shortcomings of slow speed of the ordinary structure least mean square (LMS) adaptive filter, using the cutset timing reforming technology, the structure of the LMS adaptive filter signal flow graph was optimized, and an improved delayed structure of the LMS adaptive filter was acquired at first in this paper. Then a model of four-order improved delayed LMS structure adaptive filter was built based on the DSP Builder tool and a series of simulation was fulfilled with a variety of electronic design automation (EDA) tools, and ultimately, a high-speed adaptive filter with 61.49 MHz was implemented on the EP2C35 type FPGA. The results show that the improved delayed structure LMS adaptive filter has a faster response speed than the general structure, and the resources were used less. © 2013. Source

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