We consider a wireless sensors network scenario where two nodes detect correlated sources and deliver them to a central collector via a wireless link. Differently from the Slepian-Wolf approach to distributed source coding, in the proposed scenario the sensing nodes do not perform any precompression of the sensed data. Original data are instead independently encoded by means of low-complexity c...

We pose and solve the analogue of Slepian’s time–frequency concentration problem in the two-dimensional plane, for applications in the natural sciences. We determine an orthogonal family of strictly bandlimited functions that are optimally concentrated within a closed region of the plane, or, alternatively, of strictly spacelimited functions that are optimally concentrated in the Fourier domain...

To provide low-complexity encoding for video in unidirectional or offline compression scenarios, this paper proposes an efficient feedback-channel-free distributed video coding architecture featuring a novel encoder-driven rate control scheme in tandem with a designated mode selection process. To this end, the encoder features a novel low-complexity motion estimation technique to approximate th...

Multiple description coding (MDC) with side information (SI) at the receiver is particularly relevant for robust transmission in sensor networks where correlated data is being transmitted to a common receiver, as well as for robust video compression. The rate-distortion region for this problem has been established in (Vaishampayan 1993). Here, we focus on the design of a practical MDC scheme wi...

In this paper, it is shown how low-density paritycheck (LDPC) codes can be used as an application of the SlepianWolf theorem for correlated binary sources. We focus on the asymmetric case of compression with side information. The approach is based on viewing the correlation as a channel and applying the syndrome concept. The encoding and decoding procedures, i.e. the compression and decompressi...

This work investigates a Distributed Video Coding (DVC) method for single view video sources. DVC is different from hybrid block-based video coding as there is no temporal prediction included in the encoding process. This makes video codecs with low encoder workload possible. DVC in this thesis is an extension of source coding with side information, a subset of Slepian-Wolf coding. The theoreti...

Energy-efficient transmission and bit allocation schemes are investigated in multisource single-sink Wireless Sensor Networks (WSNs). For transmission over Additive White Gaussian Noise (AWGN) channels with path loss, this work shows that the overall energy consumption can be minimised if each sensor transmits with the minimum power and cooperates with others in Time-Division Multiple Access (T...

We propose a rigorous analysis approach for the subset sum problem in the context of lossless data compression, where the phase transition of the subset sum problem is directly related to the passage between ambiguous and non–ambiguous decompression, for a compression scheme that is based on specifying the sequence composition. The proposed analysis lends itself to straightforward extensions in...

We address the problem of distributed source coding using a practical and constructive approach 1], referred to as Distributed source coding using syndromes (DISCUS), with applications to sensor networks. We propose low complexity encoding and decoding methods based on linear codes, to achieve all points in the achievable rate region of Slepian-Wolf 2] problem. The extension of these concepts t...