By Topic

Multimedia and Signal Processing (CMSP), 2011 International Conference on

Date 14-15 May 2011

Go

Filter Results

Displaying Results 1 - 25 of 87
  • [Front cover - Vol 2]

    Page(s): C1
    Save to Project icon | Request Permissions | PDF file iconPDF (2421 KB)  
    Freely Available from IEEE
  • [Title page i - Volume 2]

    Page(s): i
    Save to Project icon | Request Permissions | PDF file iconPDF (62 KB)  
    Freely Available from IEEE
  • [Title page iii - Volume 2]

    Page(s): iii
    Save to Project icon | Request Permissions | PDF file iconPDF (109 KB)  
    Freely Available from IEEE
  • [Copyright notice - Volume 2]

    Page(s): iv
    Save to Project icon | Request Permissions | PDF file iconPDF (118 KB)  
    Freely Available from IEEE
  • Table of contents - Volume 2

    Page(s): v - xi
    Save to Project icon | Request Permissions | PDF file iconPDF (277 KB)  
    Freely Available from IEEE
  • Preface - Volume 2

    Page(s): xii
    Save to Project icon | Request Permissions | PDF file iconPDF (106 KB)  
    Freely Available from IEEE
  • Organizing Committee - Volume 2

    Page(s): xiii
    Save to Project icon | Request Permissions | PDF file iconPDF (94 KB)  
    Freely Available from IEEE
  • Program Committee - Volume 2

    Page(s): xiv - xv
    Save to Project icon | Request Permissions | PDF file iconPDF (103 KB)  
    Freely Available from IEEE
  • Reviewers - Volume 2

    Page(s): xvi
    Save to Project icon | Request Permissions | PDF file iconPDF (80 KB)  
    Freely Available from IEEE
  • A Compressed Sensing Approach for IR-UWB Communication

    Page(s): 3 - 7
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (299 KB) |  | HTML iconHTML  

    The emerging theory of compressed sensing (CS) not only enables the reconstruction of sparse signals from a small set of random measurements, but also provides a universal signal demodulation approach at sub-Nyquist sampling rate. Compressed signal demodulation is particularly suitable for impulse ratio ultra-wideband (IR-UWB) communications where Nyquist sampling is a formidable challenge. In this paper, aiming at the signaling scheme that the pilot symbols are to provide side information about the channels and data symbols adopt BPM and M-PPM joint modulation, to realize 100Mbps UWB communication system under compressed sensing framework. We introduce the correlation matrix for UWB channel estimation, and propose two compressed demodulation methods: reconstruction mapping (RM) method and compressed signal classification (CSC). Simulation results show that the introduction of correlation matrix, improves channel estimation performance. The two demodulation methods also have a good performance in simulation, and provide a new idea for UWB signal demodulation. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Acoustic Measurement and Analysis of Different Pinna Models Installed on Standard Dummy Head of Chinese Adult

    Page(s): 8 - 11
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (409 KB) |  | HTML iconHTML  

    The standard dummy head of Chinese adult male is designed by Communication Acoustic laboratory of Communication university of China. The head-related transfer functions of the dummy head installed with different pinna structures have been measured. There are 11 different types of pinna model plus a pinna-absent type, which is installed on the dummy head. The variation and difference of HRTF caused by detailed pinna changes is analyzed using similarity coefficient. It's the foundation for further investigation the impact on the sound perception of the physical structure of the pinna. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Application of Wavelet Packet Sample Entropy in the Forecast of Rolling Element Bearing Fault Trend

    Page(s): 12 - 16
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (797 KB) |  | HTML iconHTML  

    Application of wavelet packet sample entropy in the forecast of rolling element bearing fault trend is proposed in this paper. Firstly, the concept of wavelet packet sample entropy is given. And it illustrates that EMD can better extract the signal trend through the simulation signal. And then the wavelet packet sample entropy for data of the whole life cycle bearing test rig is calculated and the trend of this wavelet packet sample entropy sequence is extracted using EMD. This method could better forecast the operating state of rolling element bearing. So the method of wavelet packet sample entropy and EMD can be used as a good tool for bearing monitoring and forecasting. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Chaos Characteristics Analysis about Transient Signals of FH Radio with PLL Synthesizer

    Page(s): 17 - 20
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (542 KB) |  | HTML iconHTML  

    Chaos characteristic analysis of the phase-locked loop (PLL) synthesizer has been made in this paper based on the phase model of it, and we conclude the state equation of this model and the condition when the system becomes chaos. Because the parameters of the PLL synthesizer will be changed when the FH radio switch the frequency, the system may turn to be chaos caused by the parameters of it meet the very condition. Some analysis about the transient signals of the frequency-hopping (FH) radio with PLL synthesizer is made in this paper. The fractal dimension of the transient signals is estimated by Cao's method, and the maximal Lyapunov exponent of these signals is positive. The unique double-ring attractor of them is also reproduced through the phase space reconstruction. All the result approve that the output of the FH radio is chaotic when the frequency changing. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Coexistence of Synchronization and Amplitude Death in Time-Delay Systems

    Page(s): 21 - 24
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (224 KB) |  | HTML iconHTML  

    We report synchronization and amplitude death phenomenon in identical time-delay chaotic systems. Theoretical analysis and numerical simulations show that complete synchronization, antisynchronization, and amplitude death are induced simultaneously in different state variables of an infinitedimensional response system. It overcomes some limitations of the previous work where coexistence of synchronization and amplitude death have been investigated in finite-dimensional chaotic systems. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Comparison of Feed-Forward and Recurrent Neural Networks in Active Cancellation of Sound Noise

    Page(s): 25 - 29
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (280 KB) |  | HTML iconHTML  

    Passive techniques such as barriers, silencers and isolation are bulky, costly and ineffective at low frequencies. Active cancellation of noise was presented because of these problems. In this paper, we want to investigate the uses of neural networks in active noise control (ANC). Feed-forward and recurrent neural networks are compared for active cancellation of sound noise. In order to compare the two networks the number of layers and neurons are equal in both of the networks. Moreover, training and test samples are similar for networks. The noise signals that are used for training the networks are selected from SPIB database. The results of simulation show the ability of these networks in noise cancellation. As it is seen, recurrent neural network has better performance in noise attenuation than the feed-forward neural network. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Design for Heater Control System Based on DS18B20 and Level Detector

    Page(s): 30 - 32
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (299 KB) |  | HTML iconHTML  

    This paper describes a control system design forwater heater devices. We use DS18B20 and water sensor tocollect the data of water temperature and water level, displaythe data via LED, and compare the data with the preset value,use STC89C51 to control relays, thus we can control the heaterand water pump's turn on or turn off. This system also has thealarm device for temperature and level's overtop or overlow. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fault Diagnosis Method Based on Ontology and Particle Swarm-Immune Optimization Algorithm in the Motor

    Page(s): 37 - 41
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (622 KB) |  | HTML iconHTML  

    To solve the problem that motor data does not have intuitive semantics, and it is hard to get complete fault information as the signal kinds monitored is more and its complexity is higher than before, this paper proposes a fault diagnosis method based on Ontology and Particle Swarm-Immune Optimization algorithm. It first creates an ontology library using the expert knowledge. Secondly, it extends the fault data and creates a fault diagnosis trainer by the particle swarm optimization (PSO) and immune algorithms. At last, it will obtain an effective fault diagnosis trainer, which could improve the final fault diagnosis' accuracy and validity. Experiment results prove that the new fault diagnosis algorithm is an effective method, which effectively completes the fault information database and improves the fault diagnosis' accuracy and validity. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Insect Sound Recognition Based on MFCC and PNN

    Page(s): 42 - 46
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (336 KB) |  | HTML iconHTML  

    This study aims to provide general technicians who manage pests in production with a convenient way to recognize insects. A viable scheme to identify insect sounds automatically is proposed by using sound parameterization techniques that dominate speaker recognition technology. The acoustic signal is preprocessed, segmented into a series of sound samples. Mel-frequency cepstrum coefficient(MFCC) is extracted from the sound sample as sound features, and probabilistic neural network(PNN) is trained with given features. The testing samples are classified by the PNN finally. The proposed method is evaluated in a database with acoustic samples of 50 different insect sounds. The recognition rate was above 96%. The test results proved the efficiency of the proposed method. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Internet of Things and Geography - Review and Prospect

    Page(s): 47 - 51
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (252 KB) |  | HTML iconHTML  

    Due to the development of Internet of Things, which is closely related to a series of geographical questions, this paper explores such new phenomenon of Human Geography, especially the change from Internet era to Internet of Things era. The aim of the geographical research on the new information technology in the near future is: to solve geographical problems in application, such as spatial attributes, space organizations, geographical distribution of elements and function, geographical types of service, spatial regularity; to re-examine Geography under Internet of Things, including new man-land relationship, new spatial structure, new business model and Commercial Geography, new urban spatial structure, new Industrial Geography, new Behavioral Geography, and new Information Geography. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Performance Analysis of Two Kinds of Uniform Circular Arrays

    Page(s): 52 - 56
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (451 KB) |  | HTML iconHTML  

    The performance of the directions-of-arrival (DOA) estimation is a strong function of array geometry configuration. Nowadays the Uniform Circular Arrays (UCA) arouse more and more attention due to their remarkable characteristics. In this paper, we derive the ambiguity formulation, the resolution and Cramer-Rao Lower Bound (CRLB) functions on the basis of the study of data model, the radiation pattern and the array structures. Then the influence factors on the two kinds of UCA's angle ambiguity characteristic, such as the radius, the numbers of array elements and the elevation are systematically studied. In this paper we also systematically study the factors that can influence the resolution and CRLB's values. The paper concludes by demonstrating the simulations that the theoretical analysis is certified correct. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Research on the Accuracy of Single Precision on Graphics Processing Unit

    Page(s): 57 - 60
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (276 KB) |  | HTML iconHTML  

    The single precision in the computer is composed of two parts: the mantissa and the exponent. which are expressed by the limited binary bits. During adding on the single precision, the smaller one should shift to line up the decimal points, If the mantissa of the smaller one exceeds the range of registers, truncating or rounding off will be executed and cause losing precision. As far as the serials of GTX200 is concerned, the length of the register storing intermediate results is the same as the one for the final results. The accuracy problem is very prominent while the length of the mantissa exceeds the range of register after lining up the decimal points during the single precision adding. In this paper, we use the partial sum algorithm to improve the accuracy of single precision adding, and verify the correctness of the algorithm from the perspective of experiment by means of the matrix multiplication. Finally, we analyze the effect of partial sum algorithm on compute peak of the GPU and come to the conclusion that the partial sum algorithm has little influence on the compute peak of the GPU. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Research on the Application of GPON Technologies

    Page(s): 61 - 63
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (465 KB) |  | HTML iconHTML  

    As the industry chain of optical access networktechnology develops quickly and its techniques and productsimprove much, the global deployment of optical accessnetwork is accelerating. The time of the large-scale applicationof optical access network has come. Besides the transmissioncharacteristics of good quality, large capacity, and longdistance, GPON has the advantages of low maintenance cost,high confidentiality, and strong anti-jamming capability. So ithas great promise in the application of optical broadbandaccess. This paper introduces the structure and characteristicsof GPON technology, analyzes the key technology for GPON,designs the passive optical network transmission in HaidianDistrict of Hainan University, and at last, illustrates theadvantages of GPON technology. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Self-Similar & Stochastic Evolution Mechanism of Large Software File Name Length

    Page(s): 64 - 67
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (233 KB) |  | HTML iconHTML  

    File name length evolution mechanism of large software is researched in the present paper. Our statistical fact: large software file name length follows lognormal distribution, brings us the conjecture on file name growing process with self-similar and stochastic growth dynamics implied by Gibrat's law. Based on our empirical results, a model is proposed to simulate the growth of large software file name length with self-similar and stochastic evolution mechanism. Both the numerical simulation and theory analytical results, finally, show that the proposed model makes a good agreement with the empirical data, and hence the conjecture is proved to be correct and our model can simulate the underlying evolution law of large software file name growth. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Spatial-Temporal Error Concealment Scheme for Intra-coded Frames

    Page(s): 68 - 72
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (261 KB) |  | HTML iconHTML  

    Error concealment with good restored video quality and low computational cost is significantly required for video streams transmitted in error-prone channels, especially for real-time applications. An efficient error concealment scheme for intra-frame is proposed. Spatial circular interpolation method is used to prevent the accumulation of prediction error. Meanwhile the motion vectors surrounding the damaged MB are used when all the adjacent blocks are error to improve the effect of error concealment. The experimental results indicate that compared to the spatial error concealment algorithm in H.264, the proposed scheme can restore more texture information and improve the quality both subjectively and objectively greatly. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.