• Title of article

    Bit Error Rate Evaluation for Wireless Image Transmission System

  • Author/Authors

    Patil، Sadhana نويسنده S.S.V.P.S college of Engineering, Dhule , , Jain، S. N. نويسنده S.S.V.P.S college of Engineering, Dhule ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    4
  • From page
    393
  • To page
    396
  • Abstract
    When transmitting signals one of the most important issue is to keep the transmission error as low as possible and to obtain reliable transmission link bit BER should be kept limit. If SNR is high BER should be low. In this paper, a method for wireless image transmission is proposed. Low Bit Error Rate Systems are more efficient for image transmission so this system focus on bit rates for efficient data transmission. Based on wavelet decomposition theory, an image source can be decomposed into different weight levels. Then, the bit streams with different weight are modulated by FH-OFDM system, which can give low frequency bits more protection with help of hop frequency graphic design in FH-OFDM. A joint system combined with source coding and adaptive modulation method is introduced to give the image bit streams with different subcarriers, which eliminate ISI in low frequency streams more effectively. Comparatively there is another method used for progressive image transmission over coded Orthogonal Frequency Division Multiplexing (OFDM) system with Low Density Parity Check Coding (LDPC). It is used to compansate the introduced error i.e. it improves the Low bit error rate, ability and transmission efficiency for progressive image transmission over Additive White Gaussian Noise (A WGN) channel. Therefore, a better reconstruction image can be obtained at receiver with low bit error rate. Simulation results indicate that, Low Bit Error Rate is more efficient for image transmission.
  • Journal title
    International Journal of Electronics Communication and Computer Engineering
  • Serial Year
    2014
  • Journal title
    International Journal of Electronics Communication and Computer Engineering
  • Record number

    2010960