Vinay Chande

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An embedded source code allows the decoder to reconstruct the source progressively from the preexes of a single bit stream. It is desirable to design joint source-channel coding schemes which retain the capability of progressive reconstruction in the presence of channel noise or packet loss. Here, we address the problem of joint source-channel coding of(More)
We present a scheme for joint source-channel coding for transmission of sources compressed by embedded source coders over a memoryless noisy channel. We nd an exact solution to the problem of optimal channel code allocation. Then we investigate the properties of the solution which allow us to transmit the source progressively while retaining the optimality(More)
In this paper we compare analog to digital conversion (ADC) delay in Hopfield ADC and asymmetrical (lower triangular) neural network-based ADC due to Avitabile et al. (1991). It is shown that, although Hopfield ADC has extensive feedback, its behavior in asynchronous mode is similar to that of lower triangular ADC. It is also shown that any constant delay(More)
In this paper we propose a joint source-channel coding scheme for transmission of images over noisy channels. In this scheme, the interaction between the source coding and the channel coding is through a small number of parameters. A robust source coder based on classiication of coeecients of Discrete Wavelet Transform of the image is coupled with a exible(More)
When a feedback channel is available from the receiver to the transmitter, adaptive schemes for source-channel coding can be used for image transmission. In this paper we see that the use of embedded source codes and embedded channel codes, when combined in a Hybrid ARQ protocol, can provide the desired exibility at high eeciency, low complexity and low(More)
Title of Dissertation: PROGRESSIVE SOURCE-CHANNEL CODING FOR MULTIMEDIA TRANSMISSION OVER NOISY AND LOSSY CHANNELS WITH AND WITHOUT FEEDBACK Vinay Chande, Doctor of Philosophy, 2004 Dissertation directed by: Professor Nariman Farvardin Department of Electrical and Computer Engineering Rate-scalable or layered lossy source-coding is useful for progressive(More)