In this paper we propose an adaptive Joint Source and Channel Coding (JSCC) associated with adequate modulation algorithm to provide a near channel capacity video transmission rate to achieve better system performance. In the proposed algorithm we apply MPEG-2 video coding scheme, and turbo channel coding technique as well as BPSK/QPSK for modulation method. Rates assigned to MPEG-2 source codi...

Current digital voice communication systems allow only modest levels of protection of the coded speech and often do not follow the dynamic changes that occur in the transmission channel. We present a method that provides optimal voice quality and intelligibility for any given transmission channel condition. The approach is performed via adaptive-rate voice (ARV) coding using an adaptive-rate mo...

This paper proposes a new adaptive source-channel coding scheme in the context of subband coding. We rst express the total mean-squared distortion su ered by the source in terms of source and channel distortions of the subbands. We then minimize this total distortion by an appropriate choice of source and channel coding rates for the subbands. This corresponds to casting the conventional bit al...

Method of Parallel Joint Channel Coding and Cryptography has been analyzed and simulated in this paper. The method is an extension of Soft Input Decryption with feedback, which is used for improvement of channel decoding of secured messages. Parallel Joint Channel Coding and Cryptography results in improved coding gain of channel decoding, which achieves more than 2 dB. Such results are an impl...

Method of Parallel Joint Channel Coding and Cryptography has been analyzed and simulated in this paper. The method is an extension of Soft Input Decryption with feedback, which is used for improvement of channel decoding of secured messages. Parallel Joint Channel Coding and Cryptography results in improved coding gain of channel decoding, which achieves more than 2 dB. Such results are an impl...

1 Fundamental Concepts and Techniques 1 1.1 Channels . . . . . . . . . . . . . . . . . . . . 1 1.2 Encoders . . . . . . . . . . . . . . . . . . . . 1 1.2.1 Code Rates . . . . . . . . . . . . . . . 2 1.3 Decoders . . . . . . . . . . . . . . . . . . . . 2 1.4 Probabilistic Model . . . . . . . . . . . . . . . 2 1.5 The Probability of Error . . . . . . . . . . . . . 2 1.6 New Codes from Old Codes b...

In this paper, we present a framework for developing source coding, channel coding and decoding as well as erasure concealment techniques adapted for distributed (wireless or packetbased) speech recognition. It is shown that speech recognition as opposed to speech coding, is more sensitive to channel errors than channel erasures, and appropriate channel coding design criteria are determined. Fo...

Systems for the digital transmission of voice have traditionally been xed rate in anti-jam situations. This design severely limits the potential of the communication system in the case of voice since compression of speech is a lossy process. Bit errors in the transmission of voice coded speech cause degradation which can be compensated for in several ways. The standard method is to trade o chan...