Variable length decoding(VLD) is inherent bit-serial operation and is the first stage of the whole video decoding task,the overall decoding system performance is determined by its throughput and ef
Variable length decoding(VLD) is inherent bit-serial operation and is the first stage of the whole video decoding task,the overall decoding system performance is determined by its throughput and ef
Video decoders are an important component in modern networked multimedia systems. TMS320DM642 is suitable for implementation of embedded video ***,the high data rate, large sizes,and distinctive memory access patterns...
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Video decoders are an important component in modern networked multimedia systems. TMS320DM642 is suitable for implementation of embedded video ***,the high data rate, large sizes,and distinctive memory access patterns of MPEG-4 video decoders exert a particular strain on *** paper proposes an optimization method to allocate the memory of *** Cache-SRAM -SDRAM structure,the SRAM negotiates the unbalance of the cache and the SDRAM in speed and *** to its importance,a cache-based memory allocation mode is proposed to make full use of the *** to this mode,the SRAM is divided into three sections:the data exchanging section,the core code and variables storage section, and the rest of the SRAM which is set as cache for the other codes and data *** experiment results show the proposed solutions can improve the MPEG-4 decoding speed by almost 25%.This cache optimization method has been integrated into the developed embedded MPEG-4 video *** decoder can perform real time decoding with bitstreams coded under two channels 4CIF or eight channels CIF frame size which is the typical requirement of networked video surveillance applications nowadays.
Wireless sensor network (WSN), which is integrated with many technologies such as sensor, embedded computing, wireless communication and distributed information processing etc., is becoming an important branch of ubiq...
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Wireless sensor network (WSN), which is integrated with many technologies such as sensor, embedded computing, wireless communication and distributed information processing etc., is becoming an important branch of ubiquitous computing research. WSN is composed of a large number of distributed sensor nodes, so to ensure the sensor nodes dependable is essential to security of whole network. By introducing a lightweight tamper-resistance design based on security co-processor into sensor nodes, this paper loosens up the security assumptions of WSN, and redefines the objectives of WSN security. Based on such secure infrastructure, the paper also proposes a concise and effective key pre-distribution scheme, in which each node needs to send only one cluster key announcement message and cluster key net can be set up within neighborhood
A new detection scheme, namely AND subtraction technique is proposed and presented in this paper. The theory is being elaborated and experimental results have been done by comparing double-weight (DW) code against the...
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A new detection scheme, namely AND subtraction technique is proposed and presented in this paper. The theory is being elaborated and experimental results have been done by comparing double-weight (DW) code against the existing code, Hadamard. In this paper we have proved that AND subtraction technique gives better bit error rates (BER) performance than complementary subtraction technique against the received power level. The overall system cost and complexity can be reduced by using less number of filters in this technique. At the same time, the performance of the OCDMA system is improved significantly because with less number of filters in the decoder, the total power loss can be reduced and this can be clearly seen in the result
The paper incorporates fuzzy logic methodologies into multisensor-multitarget system under the framework of random set theory, and presents the logical unified description of the unambiguous information (data) and a t...
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The paper incorporates fuzzy logic methodologies into multisensor-multitarget system under the framework of random set theory, and presents the logical unified description of the unambiguous information (data) and a type of the uncertain information (ambiguous evidence) so as to construct qualitative measurement models for data and ambiguous evidence fusion. The procedure is as follows: firstly, strong random set and week random set are defined, based on which, the unified description of data and ambiguous evidence is introduced; secondly, according to characters of ambiguous evidences, two Bayesian-Markov nonlinear measurement models for the data and ambiguous evidence fusion are presented; thirdly using "the models-based signature-matching scheme", the operation of the statistics of ambiguous evidence defined as random sets can be simplified to that of the membership functions of relative point state variables
Variable length decoding (VLD) is inherent bit-serial operation and is the first stage of the whole video decoding task, the overall decoding system performance is determined by its throughput and efficiency. In this ...
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Variable length decoding (VLD) is inherent bit-serial operation and is the first stage of the whole video decoding task, the overall decoding system performance is determined by its throughput and efficiency. In this paper, a scheme for decoding of discrete cosine transform (DCT) coefficients is presented The DCT VLD tables are split into two different tables: the one with 0-3 leading zeros and the other with 4 or more leading zeros. The proposed VLD tables need less than 6K bytes memory space, and the decoding procedures are completed by applying numerical properties to codewords identification and symbol indexing. Compared with the direct indexing method, not only the memory space is reduced for symbol information, but also the code efficiency is improved by enabling compiling code with near mode. Experimental results show that the proposed solution can improve the VLD speed by 17-43%. This VLD method has been integrated into the developed embedded MPEG-4 video decoder successfully
Accuracy of information transmission when a signal must be transmitted through a communication channel is of essential importance in design of communication systems. When system resources are limited, such as transmis...
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Accuracy of information transmission when a signal must be transmitted through a communication channel is of essential importance in design of communication systems. When system resources are limited, such as transmission bandwidths assigned to a wireless communication channel, appropriate utility of available resources becomes imperative. This paper investigates fundamental relationships between accuracy of information exchange and communication resources, on a platform of wireless communication channels that involve typical system blocks of data compression, quantization, and stochastic wireless channels. The main complexity relationships developed in this paper provide rigorous trade-off between resource consumptions and information processing errors of each block. When these relationships are integrated, an optimization procedure emerges that allows optimal allocation of resources to each system block, such as compression ratio, quantization levels, and transmission speed, to maximize overall information accuracy. Consequently, the overall errors of the transmitted signal will be minimized at the receiver end.
The output limits of the power system stabilizer (PSS) can improve the system damping performance immediately following a large disturbance. Due to non-smooth nonlinearities from the saturation limits, these values ca...
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The output limits of the power system stabilizer (PSS) can improve the system damping performance immediately following a large disturbance. Due to non-smooth nonlinearities from the saturation limits, these values cannot be determined by the conventional tuning methods based on linear analysis. Only ad hoc tuning procedures can be used. A feedforward neural network (FFNN) (with a structure of multilayer perceptron neural network) is applied to identify the dynamics of an objective function formed by the states, and thereafter to compute the gradients required in the nonlinear parameter optimization. Moreover, its derivative information is used to replace that obtained from the trajectory sensitivities based on the hybrid system model with the differential-algebraic-impulsive-switched (DAIS) structure. The optimal output limits of the PSS tuned by the proposed method are evaluated by time-domain simulation in both a single machine infinite bus system (SMIB) and a multi-machine power system (MMPS)
Video decoders are an important component in modern networked multimedia systems. TMS320DM642 is suitable for implementation of embedded video decoder. However, the high data rate, large sizes, and distinctive memory ...
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Video decoders are an important component in modern networked multimedia systems. TMS320DM642 is suitable for implementation of embedded video decoder. However, the high data rate, large sizes, and distinctive memory access patterns of MPEG-4 video decoders exert a particular strain on cache. This paper proposes an optimization method to allocate the memory of TMS320DM642. In cache-SRAM-SDRAM structure, the SRAM negotiates the unbalance of the cache and the SDRAM in speed and capacity. Due to its importance, a cache-based memory allocation mode is proposed to make full use of the SRAM. According to this mode, the SRAM is divided into three sections: the data exchanging section, the core code and variables storage section, and the rest of the SRAM which is set as cache for the other codes and data management. The experiment results show the proposed solutions can improve the MPEG-4 decoding speed by almost 25%. This cache optimization method has been integrated into the developed embedded MPEG-4 video decoder. The decoder can perform real time decoding with bitstreams coded under two channels 4CIF or eight channels CIF frame size which is the typical requirement of networked video surveillance applications nowadays
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