This paper addresses the problem of adaptively controlling a plant with unknown parameters using communication-limited feedback. Assuming known dynamics, expressions have recently been obtained for the minimum average feedback data rate required for asymptotic stabilisability. The main purpose of this work is to demonstrate that this minimum rate does not increase if the plant parameters are un...

| This paper presents a rate-adaptive error control (RAEC) protocol for multimedia multicast services in satellite-terrestrial hybrid networks. The proposed scheme considers user fairness to multicast group and adapts code rate according to the channel conditions. In order to provide fairness perceived by user application, a packet is transmitted via satellite, while the retransmission of the p...

Hybrid ARQ schemes can yield much better throughput and reliability than static FEC schemes for the transmission of data over timevarying wireless channels. However these schemes result in extra delay. They adapt to the varying channel conditions by retransmitting erroneous packets, this causes variable effective data rates for current PCS networks because the channel bandwidth is constant. Hyb...

In this paper, an empirically optimized channel-matched quantizer, and a joint stochastic-control based rate controller and channel estimator for H.261 based video transmission over a noisy channel is proposed. The rate controller adaptively learns to choose the correct channel matched quantizer using a stochastic learning algorithm. The stochastic automaton based learning algorithm aids in est...

The purpose of this paper is to improve allocation of the number of bits without skipping the frame by accurately estimating the target bits in H.264/AVC rate control. In our scheme, we propose an enhancement method of the target frame rate based H.264/AVC bit allocation. The enhancement uses a frame complexity estimation to improve the existing mean absolute difference (MAD) complexity measure...

A joint temporal-spatial rate control method is proposed for adaptive MPEG video transcoding in this work. The proposed rate control scheme adjusts both the frame rate and the frame quantization step size according to the available channel bandwidth to achieve good temporal-spatial quality tradeoff. In the proposed transcoding scheme, motion vectors are reused to facilitate the transcoding spee...

In this paper, an end-to-end real-time adaptive protocol for multimedia transmission is presented. The bandwidth is dynamically allocated according to the network status, and the client buffer occupancy and playback requirement. The transmission rate is determined by the quadratic probing algorithm that can obtain the maximal utilization of the client buffer and minimal occupation of the networ...

This work investigates support of rate adaptive multimedia streams on communication networks. Optimal and practical mechanisms to maximize the customer average QoS, defined in terms of a normalized time average received rate, are established. By scaling the arrival rate and link capacity, we obtain asymptotic expressions for customer average QoS in the case of networks with single bottleneck li...

Advisor: Khalid Sayood This dissertation is focused on the problem of rate allocation in a resource constrained environment and robustness of video coding over noise channels. A new rate allocation scheme that combines the traditional PCRD-Opt algorithm with the ρ domain analysis is proposed for wavelet based image coders. The proposed scheme provides competitive performance as compared with th...

Efforts to develop more efficient multiple hypothesis testing procedures for false discovery rate (FDR) control have focused on incorporating an estimate of the proportion of true null hypotheses (such procedures are called adaptive) or exploiting heterogeneity across tests via some optimal weighting scheme. This paper combines these approaches using a weighted adaptive multiple decision functi...