Power dissipation during testing has been found to be much more than during normal mode due to increased switching activity. Test vector reordering technique helps mitigate this problem as it enables the reduction of ...
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Considering from test time, test power and access, this article adopts new method that LFSR reseeding based on syncopation of some test patterns. In a test set, some patterns have a lot of confirmed bits and are hardl...
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ISBN:
(纸本)9787121113154
Considering from test time, test power and access, this article adopts new method that LFSR reseeding based on syncopation of some test patterns. In a test set, some patterns have a lot of confirmed bits and are hardly encoded by LFSR. They are syncopated and substituted by generating patterns. This method can reduce the number of seeds and improve the utilization of seed so that achieve the purpose of test data compression. Using in the benchmark circuits, experimental results show that it can better improve the compression rate and reduce the cost of test.
In order to reduce the storage requirements for the test pattern, a test data compression scheme based on compatible data block coding is presented. In the scheme, binary code is used to express the test data which ar...
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In order to reduce the storage requirements for the test pattern, a test data compression scheme based on compatible data block coding is presented. In the scheme, binary code is used to express the test data which are compatible or inversely compatible with reference data which are improved compression radio. The circuit structure of decompression with a Finite State Machine (FSM) and a Cyclical Scan Register (CSR) was proposed. Experimental results for the large ISCAS 89 benchmark circuits show that this scheme is a very efficient compression method than other compression schemes and the average compression ratio of up to 63.89%.
State estimation and fault diagnosis are essential topics for dynamic *** Kalman fllter（UKF） has been widely applied in nonlinear *** classical UKF algorithm is built on the premise that process noise and measuremen...
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ISBN:
(纸本)9781538629185
State estimation and fault diagnosis are essential topics for dynamic *** Kalman fllter（UKF） has been widely applied in nonlinear *** classical UKF algorithm is built on the premise that process noise and measurement noise is *** practical problems,this assumption is not always *** addition,due to the limitation of communication and sensor fault,etc.,data missing or unreliable measurements will happen ***,it is very important to study the state estimation of nonlinear systems with unreliable measurements and correlated *** this paper,an UKF based state estimation algorithm with unreliable observations under correlated noise is presented.A numerical example is given to show the feasibility and effectiveness of the presented algorithm.
The combination of the chaotic theory and the cryptography is an important study field of the image encryption. Classical Arnold cat map can change the position of image pixel points through iteration, but these pixel...
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Efficiency and fairness are two crucial issues to be considered for resource alloca- tion in multi-user wireless networks. Based on the joint optimization of physical layer and data link layer, an optimization model i...
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Efficiency and fairness are two crucial issues to be considered for resource alloca- tion in multi-user wireless networks. Based on the joint optimization of physical layer and data link layer, an optimization model is derived to achieve efficient and fair downlink data scheduling in multi-user OFDM wireless networks by maximizing the total utility function with respect to the average waiting time of user queue. A dynamic sub-carrier allocation algorithm （DSAA） based on the optimization model is proposed in order to obtain the maximization of the total scheduling utility. Effi- ciency is improved by combining DSAA with time scale interference predictor （TSIP） which at large time scales predict ON/OFF period of user data with temporal corre- lation structure across multiple time scales in multi-user interference environment. Simulation results verify the efficiency and fairness of the scheme.
Target detection has been widely used in fields such as intelligent security and autonomous driving. However, existing computationally heavy target detection algorithms based on deep learning can only work on GPU and ...
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Recommendation systems have been widely used in social media. One of recommendation tasks in social media is to provide relevant messages for users. Although many models have been proposed, how to make accurate recomm...
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In this paper, a blind audio watermarking scheme using stereo signals is proposed. In the proposed scheme, each bit of watermark bit stream is embedded into ldquonon-silentrdquo samples of stereo audio signals. The wa...
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In this paper, a blind audio watermarking scheme using stereo signals is proposed. In the proposed scheme, each bit of watermark bit stream is embedded into ldquonon-silentrdquo samples of stereo audio signals. The watermark bits can be embedded by replacing least significant bit or bits in higher bit layers of original signal samples. Robustness and performance of this audio watermarking scheme under different types of attacks, such as addition of noise, MP3 compression and re-sampling are investigated. Watermark extraction rates are calculated. Different audio signals including music, speech are used for the experiments. It is found that the proposed audio watermarking scheme, compared with the use of single channel signals, is much more robust against addition of white noise.
The elastic scattering features of the underwater target scattering wave depend on the physical parameters of the target, such as the material and structure. Intuitively evaluating the influence of the elastic scatter...
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