PILGRIM, RYAN ZACHARY. Source Coding Optimization for Distributed Average Consensus. (Under the direction of Dror Baron.) Consensus is a common method for computing a function of the data distributed among the nodes of a network. Of particular interest is distributed average consensus, whereby the nodes iteratively compute the sample average of the data stored at all the nodes of the network us...

For high compression ratios current video coding standards produce noticeable blocking and ringing noise due to a rigid block structure and coarse quantization. We propose a new method for reduction of these coding artifacts based on spatially adaptive constrained least squares restoration. The proposal is numerically simple and yields visually convincing results for intra as well as inter code...

Interpreting the need of high quality wideband speech coding some standardization events have been conducted. There are various methods and standard for speech coding. these paper present a new technique of speech coding. here interpretation is done with the help of gamma tone filter bank. The o/p of the system is analyzed and process to get the respective train of pulses. the positioning and a...

This paper proposes a new approach to reduce coding artifacts in transform image coding. We approach the problem in an estimation of each transform coe cient from the quantized data by using its local mean and variance. The proposed method can reduce much coding artifacts of low bit-rate coded images, and at the same time guarantee that the resulting images satis es the quantization error const...

Turbo Trellis-Coded Modulation (TTCM) is a very promising approach for future communication systems. It combines the advantages of channel coding with multilevel signals and the powerful Turbo-Codes concept. In this paper we consider VLSI implementation aspects of TTCM. We show that techniques, known from binary Turbo-Decoders, can be applied to TTCM to reduce the implementation complexity sign...

We present a new Trellis Coded Vector Residual Quan-tizer (TCVRQ) that combines trellis coding and vector residual quantization. We propose new methods for computing quantization levels and experimentally analyze the performances of our TCVRQ in the case of still image coding. Experimental comparisons show that our quantizer performs better than the standard Tree and Exhaustive Search Quantizer...

The scatter view shows the distribution of items on the high-resolution grid in relation to the trajectory clusters using a dot representation. The density view visualizes the sample distribution density in a color coded heatmap representation. Alternative heatmaps show the quantization error, the U-Matrix, etc. The star view is a connector-based view which indicates for each data sample its ne...

This paper considers the data quantization problem for a class of unknown nonaffine nonlinear discrete-time multi-agent systems (MASs) under repetitive operations to achieve bipartite consensus tracking. Here, quantized distributed model-free adaptive iterative learning control (QDMFAILBC) approach is proposed based on dynamic linearization technology, algebraic graph theory, and sector-bound m...

Predicting traffic generated by multimedia sources is needed for effective dynamic bandwidth allocation and for multimedia quality-of-service (QoS) control strategies implemented at the network edges. The time-series representing frame or visual object plane (VOP) sizes of an MPEG-coded stream is extremely noisy, and it has very long-range time dependencies. This paper provides an approach for ...