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In this paper a new algorithm is described for selective detection and handling of speech codec parameters which were corrupted by bit-errors on the transmission channel. A combination of classical forward error detection schemes using additional (redundant) bits and parameter-correlation based techniques without redundant bits (zero-redundant error detections) is used for this purpose. The algorithm...
A generalization of the correlation function is explored which, besides a relative time shift between the signals to be correlated, also takes into account different scalings on the time axis (i.e., magnification/reduction). It is shown how the generalized correlation function for continous signals can be sampled and computed without loss of information and thus can be described by discrete-time signals...
This paper presents an in-loop adaptive color-space transform for the HEVC Screen Content Coding extension. In the proposed method, the prediction residual is adaptively converted into a different color space to reduce the cross-component redundancy. After the ACT, the signal is coded following the existing HEVC framework. To keep the complexity as low as possible, fixed color-space transforms that...
Fractional-pel motion compensation is very good at improving video coding efficiency, especially for camera-captured content. But for screen content, which is obtained from a computer desktop, motion vectors with integer-precision may be enough to represent the motion in different pictures. Using fractional-pel motion compensation for such content is a waste of bits. Thus, adaptive motion compensation...
Woodward's ambiguity function, introduced in the literature in the mid-20th century, has been a staple topic in the study of radar performance. There exists an inherent trade-off in the ability of a signal to accurately measure both the range and velocity of a target. Woodward's ambiguity function measures this uncertainty for narrowband RF signals for monostatic radar. Despite its popularity and...
This paper introduces an audio watermark (WM) decoding scheme that performs a Support Vector Machine (SVM) based supervised learning followed by a blind decoding. The decoding process is modelled as a two-class classification procedure. Initially, wavelet decomposition is performed on the training audio signals, and the decomposed audio frames watermarked with +1 and −1 constitute the training sets...
This paper illustrates an algorithm specifically designed for encoding multiple views of the same scene taken from calibrated cameras. The assumption here is that these views are strongly correlated as they represent the same content viewed from different perspectives. In order to keep the encoding complexity low, the proposed algorithm builds on PRISM (Power-efficient, Robust, hIgh compression, Syndrome-based...
This paper presents the design and evaluation of a flexible UHF RFID testbed, which is intended to be used for developing real time localization systems. It is based on an off the shelf software defined radio platform, i.e. the National Instruments USRP-2922. Special requirements for a localization algorithm based on a superimposed Direct Sequence-Spread Spectrum signal which is currently under active...
The state of the art in digital watermarking of visual data is briefly reviewed. A communication perspective is adopted to identify the main issues in digital watermarking and to present the most common solutions adopted by the research community. We first consider the various approaches to watermark embedding and hiding. The communication channel is then taken into account, and the main research...
We propose Digital Signal Processing techniques which are useful in detecting signals which are corrupted by additive noise. The proposed Digital Signal processing techniques are used in a low power laser range finder based on FPGA technology. Highlights of the laser range finder are low power laser emission, eye safe operation, coherent integrations for signal to noise ratio improvement, matched...
Decoding mental processes in single trials is one of the prerequisites for tailoring learning paradigms, which aim at improving performance in cognitive tasks. In this study user choices are predicted in a matrix reasoning task. By employing multivariate analysis techniques we are able to show that it is possible to decode the subjects' answers prior to their response by means of ERP-based EEG data...
In this paper, we consider a Generalized Joint Channel Network Coding (GJCNC) applied to Physical Layer Network Coding (PLNC) for Two Way Relay Channel (TWRC). For this purpose, two correlated sources A and B desire to exchange information with each other by the help of a relay R. PLNC allows the relay to decode the combined information of both sources from the superimposed information. A Low Density...
In this paper we develop two new approaches for frame synchronization in the binary-input AWGN channel, in which we account for the sign ambiguity of the received symbols and exploit knowledge of an alternating sequence which precedes the synchronization word. We present an approach based on an extended sliding window and the appropriate decision metric. For the common case that the synchronization...
Correlation between channel state and source symbol is under investigation for a joint source-channel coding problem. We investigate simultaneously the lossless transmission of information and the empirical coordination of channel inputs with the symbols of source and states. Empirical coordination is achievable if the sequences of source symbols, channel states, channel inputs and channel outputs...
This paper proposes a low complexity joint source-channel coding (JSCC) technique that can well exploit two-dimensional (2D) source correlation using turbo single parity check (SPC) codes. Based on similar structure of the product accumulate code, a rate-1 inner code is serially concatenated to the turbo SPC code structure in order to overcome the high error floor issue of turbo SPC codes. The 2D...
With the growing demands for 3D and multi-view video content, efficient depth data coding becomes a vital issue in image and video coding area. In this paper, we propose a simple depth coding scheme using multiple prediction modes exploiting temporal correlation of depth map. Current depth coding techniques mostly depend on intra-coding mode that cannot get the advantage of temporal redundancy in...
Reaching is one of the fundamental tasks in daily life thus the neural processing of such a task will benefit brain computer interface (BCI) development. Even the simplest reaching task results from a movement planning phase as well as a movement execution phase. To facilitate the neural decoding of human reaching, brain activity in both movement planning and execution phases should be investigated...
Wyner-Ziv video coding (WZVC) is a video compression paradigm based on distributed source coding principles. WZVC allows reducing the complexity of video processing at the encoder thus providing lower energy consumption. One of the key operations of WZVC is correlation noise modeling which is responsible for estimation of statistical characteristics of errors arising in virtual dependency channel...
Robust multi-view video transmission over error prone networks is a technical challenge problem for multi-view video coding (MVC). In this paper, a frame loss error concealment scheme is proposed for MVC to address the challenging problem at the decoder side. Different from traditional motion information derivation in temporal domain for single-view video coding, two novel information derivation schemes,...
In this paper we propose robust watermarking schema for video files based on spread spectrum theory. The main concept relies on utilization of time as temporal dimension for spreading of watermark bits that are assigned to video frames. The second level spreading that is impartial to first level, uses different set of PN sequences within the video frames what allows to utilize multiple watermarking...
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