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We propose a novel, low complexity, carrier phase estimation scheme for the coherent reception of PSQPSK-modulated signals and assess its back-to-back and transmission performance.
This paper presents an efficient algorithm for robust network reconstruction of Linear Time-Invariant (LTI) systems in the presence of noise, estimation errors and unmodelled nonlinearities. The method here builds on previous work [1] on robust reconstruction to provide a practical implementation with polynomial computational complexity. Following the same experimental protocol, the algorithm obtains...
A new video coding standard, High Efficiency Video Coding (HEVC), is currently under development. In this paper we propose two relatively low-complex adaptive Wiener schemes for efficient P-frame coding of noisy videos with HEVC. In the proposed inloop denoising framework the reference frame is noise filtered for P-frame prediction. The introduced algorithms adapt to the HEVC coding structure and...
Efficient spectrum sensing plays a vital role in opportunistic and dynamic spectrum access for cognitive radios. Several spectrum sensing algorithms based on energy detection, matched filtering and autocorrelation based feature detection have therefore been proposed in the literature. All these algorithms tend to have higher complexity for achieving better sensing performance, which requires higher...
Target localization is one of the most important and fundamental issues in wireless sensor networks (WSNs). Because of its special topology structure, grid-based wireless sensor networks have a great advantage in target localization. In this paper, firstly, we analyze the uncertain area founded by the topology structure of single-level grid-deployed networks. A double-level grid-based localization...
A new rectifier with combined power flow control capability has been developed to simplify a series-tuned power receiver in inductive power transfer (IPT) applications. Since the traditional IPT receiver usually employs two separate stages (rectifier and power flow regulator) after the tuning circuit to obtain a required DC output voltage, the receiver circuit is often complicated and large. A big...
In this paper for a noise forwarding (NF) scheme, the joint design of the optimal covariance matrices of a source's and a helper's signals that maximize the secrecy rate is studied. Under general power constraints, it is shown that the non-convex design problem can be converted into a quasi-convex optimization problem composed of convex subproblems. The properties of the optimal covariance matrices...
Spectrum sensing provides detailed information on the occupancy in a given spectrum band. Practical implementations of spectrum sensing techniques are crucial to gaining complete comprehension of their performance and applicability. Hardware limitations significantly impact the performance of the sensing techniques. This paper presents a cyclostationarity based detection testbed, which incorporates...
Eigenspace techniques are very popular techniques for blind channel identification, but are ones with a large complexity, cubic in the channel order. The newly introduced channel compaction is a signal processing technique that consists in using small-sized linear transformations to progressively force to zero some of the channel coefficients. As such, channel compaction was used to develop the first...
The Maximum Likelihood (ML) detector is a detection criteria which yields an optimal solution to Multiple-Input Multiple-Output (MIMO) systems but however, at the expense of its NP-hard complexity. Instead, the Sphere Decoder (SD) was proposed as an efficient algorithm for finding the solution to the ML detection problem in MIMO digital communication systems. Unlike the ML detector whose complexity...
Orthogonal frequency-division multiplexing (OFDM) wireless communication systems suffer severe inter- channel interference(ICI) due to high Doppler frequency spread, the paper investigate a kind of channel estimation approach that combines the multiply continue OFDM symbols and decision feedback technology. Further, we present a low-complexity algorithm to evaluate the ICI components for decision...
Adding a dither signal to a signal to be measured is a known technique for improving the accuracy of a quantizer output. In this paper a measurement called effective bits is used to compare un-dithered signals, stochastically dithered signals, and deterministically dithered signals. A deterministic dither signal is found that adds one effective bit using only two dither points. With this dither signal,...
This paper considers the recovery of multiple sparse vectors, with partially shared supports, from a small number of noisy linear measurements of each. It has recently been shown that it is possible to lower the sample complexity of recovery, for all levels of support sharing, by using a “dirty model”: a super-position of sparse and group-sparse modeling approaches; this is based on convex optimization.
Along with the development of information technology, digital signal filled with the whole world, we see the image can be converted to be computer to deal with a digital signal. Digital image processing is through computer tool, with digital image signal by a series of processing operations, and get people with the needs of the application. This paper introduces the Fourier transform and wavelet transform...
This study proposes an energy detection based time synchronization scheme for IR-UWB systems. The proposed synchronization scheme may achieve symbol timing synchronization within a symbol interval. The mean square error (MSE) performance of the proposed scheme is compared with that of the TDLC algorithm, in both residential line-of-sight (LOS) and non-line-of-sight (NLOS) propagation environments...
We consider the problem of information flow over Gaussian relay networks. Similar to the recent work by Avestimehr et al. [1], we propose network codes that achieve up to a constant gap from the capacity of such networks. However, our proposed codes are also computationally tractable. Our main technique is to use the codes of Avestimehr et al. as inner codes in a concatenated coding scheme.
This paper presents a Voronoi-based algorithm to extract the medial axis through labeling sample points. A major issue of the medial axis is its inherent instability under small perturbations. The medial axis is very sensitive to small changes of the boundary, which produce many irrelevant branches in the medial axis. Filtering extraneous branches is a common solution to handle this issue, It may...
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseeking method for “graph” representation where general embedding of relational data is possible beyond metric spaces. Exploiting the global structure of the graph by random walks, our method intrinsically combines modeseeking with...
In this paper, we propose an efficient method to detect the underlying structures in data. The same as RANSAC, we randomly sample MSSs (minimal size samples) and generate hypotheses. Instead of analyzing each hypothesis separately, the consensus information in all hypotheses is naturally fused into a hypergraph, called random consensus graph, with real structures corresponding to its dense subgraphs...
Progress evidenced by Moore's Law has driven increased performance at decreased cost per function. Often, the price of this progress is balanced against complexity and time-to-market (both directly impacting cost). Design enablement teams must mitigate these cost factors by delivering accurate process design kits (PDKs) that predict both process and device performance at production on a schedule that...
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