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Error-related potentials (ErrP) have been increasingly studied in psychophysical experiments as well as for brain-machine interfacing. In the latter case, the generalisation capabilities of ErrP decoders is a crucial element to avoid frequent recalibration processes, thus increasing their usability. Previous studies have suggested that ErrP signals are rather stable across recording sessions. Also,...
Motivated by applications of distributed storage systems to key-value stores, recently, the multi-version coding problem was proposed to store data that is frequently being updated in a distributed storage system. In particular, in multi-version coding, it is desired to store the data consistently, that is, even if all servers do not receive the data updates simultaneously, the decoder can recover...
This work presents a simple study of stochastic arithmetic complex number operators for addition and multiplication. Their usage is demonstrated by design of a sum of product circuit As the stochastic complex number operators need more control random streams than stochastic rational number operators, we optimized the number of random generators used in the real circuit. In the end our sum of product...
Compressed Sensing(CS) based video coding techniques are low-complexity in general, but with marginal compression results. Also, wireless multimedia devices have serious resource constraints, with fluctuations in bandwidth(for up-link traffic) and available power. In this paper we propose a nested technique in which CS data is further compressed within the CS domain to give far better compression...
The Data Over Cable Service Interface Specification (DOCSIS) provides internet access via cable TV networks. The latest version 3.1 replaces the Physical Layer of previous DOCSIS versions. With DOCSIS 3.1, broadband cable network operators want to accelerate their networks to gigabit-per-second speeds. Enhancements include an increased bandwidth per downstream channel of up to 192MHz, Orthogonal Frequency-Division...
We study the transmission over a cloud radio access network in which multiple relays are connected to a central processor (CP) via error-free finite-capacity links. We develop a lattice-based coding scheme in which each relay node computes a linear combination of the users' messages, in the spirit of standard compute-and-forward (CoF). However, rather than forwarding the computed equation to the CP...
3G systems, which are expected to still be widely deployed over the next decade, utilize Direct-Sequence Code-Division Multiple-Access (DS-CDMA) which suffers mainly from the Multiple Access Interference (MAI). This paper proposes improved decoder log-likelihood ratios for the practical uplink. The basic idea is to utilize knowledge about user cross-correlations and fading coefficients to obtain conditional...
The growth of the Internet has paved the way for easy access to information, and has contributed to the rapid development of multimedia based applications. This has made security issues very crucial and challenging. Various types of media carry information like image, audio and video and protecting these from unauthorized access is an important area of active research. This paper proposes a methodology...
Visual textures like grass, water etc. consist of dense and random variations in contrast that are perceptually indistinguishable by a human eye. Such textures are costly to encode using image and video codecs. For example, in the state-of-the-art compression standard High Efficiency Video Coding (HEVC), detailed textures typically show relatively strong blurring artifacts at low rates (high QPs)...
In this paper, we propose to learn object representations with inference from temporal correlation in videos to achieve effective visual tracking. Unlike traditional methods which perform feature learning either at image level or based on intuitive temporal constraint, we employ the recurrent network with Long Short Term Memory (LSTM) units to directly learn temporally correlated representations of...
The accuracy of end-to-end distortion (EED) estimation is crucial to achieving effective error resilient video coding. An established solution, the recursive optimal per-pixel estimate (ROPE), does so by tracking the first and second moments of decoder-reconstructed pixels. An alternative estimation approach, the spectral coefficient-wise optimal recursive estimate (SCORE), tracks instead moments...
Palette mode is the new coding tool that has been adopted in the Screen Content Coding Extensions of High Efficiency Video Coding (HEVC SCC). Palette mode can represent colour clusters for screen content efficiently and can be summarized into two parts: palette coding tools and colour index map coding tools. This paper proposes two techniques to improve colour index map coding: transition copy and...
This study addresses neural decoding of a code modulated visual evoked potentials (c-VEPs). c-VEP was recently developed, and applied to brain computer interfaces (BCIs). c-VEP BCI exhibits faster communication speed than existing VEP-based BCIs. In c-VEP BCI, the canonical correlation analysis (CCA) that maximizes the correlation between an averaged signal and single trial signals is often used for...
State-of-the-art hearing prostheses are equipped with acoustic noise reduction algorithms to improve speech intelligibility. Currently, one of the major challenges is to perform acoustic noise reduction in so-called cocktail party scenarios with multiple speakers, in particular because it is difficult-if not impossible-for the algorithm to determine which are the target speaker(s) that should be enhanced,...
YCbCr color space is widely used in previous video coding standards such as H.264 and the latest video coding standard HEVC. Although the conversion from RGB to YCbCr reduces the inter-channel redundancy significantly, there are still some correlations among Y, Cb and Cr. In order to reduce the inter-channel redundancy, LM mode was proposed based on HEVC in which the reconstructed luma component is...
Computer-generated hologram (CGH) has attracted much attention over the past decades, and has been widely applied in many areas, such as display, security and optical tweezer. In this paper, CGH-based authentication approach is presented by using optical correlation. After the original image is sparsified, phase-only mask is iteratively extracted as ciphertext based on CGH system. It is illustrated...
Recently, the latest advances in compact feature representation and feature learning have provided an efficient framework for several visual analysis tasks, such as object recognition. However, when multiple cameras with overlapping fields-of-view are employed, other visual analysis tasks such as depth estimation can be supported and object recognition accuracy can be improved. In this paper the problem...
In echo-based audio watermarking methods, poor robustness and low embedding capacity are the main problems. In this paper, we propose a novel time-spread echo method for audio watermarking, aiming to improve the robustness and the embedding capacity. To improve the robustness, we design an efficient pseudonoise (PN) sequence and a corresponding decoding function. Compared to the conventional PN sequence...
Watermarking, known as a typical active network traffic analysis technique, has been widely used in stepping stone detecting and anonymity tracing. Among several different watermarking schemes, the interval centroid based watermarking scheme has shown its robustness in the problems such as chaff packet, packet drops and repacketization. It can be widely used in many applications, for it embeds watermarking...
Channel coding for the next generation communication system needs to support higher data throughput and transmission rate. Due to the inherent parallel feature, low density parity check (LDPC) codes comply with the target. In this paper, we propose a complete channel coding scheme based on structured LDPC codes. In our design, the correlation among different parity check matrices for different code...
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