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High-efficiency video coding (HEVC) is a new video coding standard which offers higher performance than previous video coding standards such as H.264/AVC. Merge mode is one of the new tools adopted in HEVC to improve the inter-frame coding efficiency. Merge mode saves the bits for the motion vector (MV) by sharing the MV with neighboring blocks. Merge mode estimation (MME) is the process of finding...
This paper explores a real- and complex-valued multiply-accumulate (MAC) functional unit for digital signal processors. MAC units with single-instruction-multiple-data (SIMD) support are often used to increase the processing performance in modern signal processing processors. Compared to a real-valued SIMD-MAC units, the proposed unit uses the same multipliers to also support complex-valued SIMD-MAC...
Along with the rapid development of communication technologies, forward error correction (FEC) codes have drawn a lot of research interests recently. Several modern codes such as super product code and staircase code are proposed for 100Gbps optical transport network. A kind of tail-biting code with some improvements on staircase code is proposed in this paper. This code not only possesses the high...
His Gesture recognition is an important task for gesture-based Human Computer Interaction. A novel gesture recognition model based on sparse representation is proposed in this paper. The model mainly consists of the following four stages: firstly, the spatial-temporal interest points are detected from the video sequences; secondly, a cuboid is founded around each spatial-temporal interest point and...
Keyword detection is typically used as a front-end to trigger automatic speech recognition and spoken dialog systems. The detection engine needs to be continuously listening, which has strong implications on power and memory consumption. In this paper, we devise a neural network architecture for keyword detection and present a set of techniques for reducing the memory requirements in order to make...
In this paper, we propose a finite alphabet message passing algorithm for LDPC codes that replaces the standard min-sum variable node update rule by a mapping based on generic look-up tables. This mapping is designed in a way that maximizes the mutual information between the decoder messages and the codeword bits. We show that our decoder can deliver the same error rate performance as the conventional...
Low level local descriptors are so successful for their excellent performance in image correspondence matching problems. However, due to the intrinsic nature of high computational complexity, their areas of application shrink to a limited ground. In this paper, we address visual pedestrian detection and human pose estimation with a learning based feature representation from a speed up efficient match...
This paper presents an energy efficient adaptive QR decomposition scheme for Long Term Evolution Advance (LTE-A) downlink system. The proposed scheme provides a performance robustness to fluctuating wireless channels while maintaining lower workload on a reconfigurable hardware. A statistic based algorithm-switching strategy is employed in the scheme to achieve workload reduction and stable computing...
Singular value decomposition (SVD) plays an important role for MIMO precoding. To reduce the complexity of precoding based on SVD for large-scale MIMO systems, we first analyze the impact of SVD accuracy to the system performance and derive the error tolerance regarding the constellation, target bit error rate, and the number of transmitted spatial streams. Then, to perform SVD with given accuracy,...
In this paper, we study Rusek's channel shortening receiver based on the maximization of the lower bound of the information rate for inter-symbol-interference scenarios. We introduce the necessary simplifications which enable the use of the channel shortening algorithm for Evolved GSM/EDGE receivers for 2G cellular networks. We derive the computational complexity, evaluate the performance and compare...
Sparse Superposition Codes are a class of capacity achieving codes for which decoding can be interpreted as a compressive sensing problem. The approximate message passing algorithm, proven to be effective in compressive sensing, has been proposed in different incarnations as a valid decoding approach. However, most literature focuses on infinite code length and asymptotic performance, while the strong...
Radar coincidence imaging (RCI) is a high-resolution and instantaneous imaging technique without the limitation of relative motion between target and radar. In sparse-based RCI, the assumption that the scatterers are located at the pre-discretized grid-cell centers is commonly used. However, the generally existent off-grid degrades the imaging performance considerably. In this paper, the algorithm...
Rotated and cyclic-Q delayed (RCQD) quadrature amplitude modulation (QAM) improve DVB-T2 system performance over highly time-frequency selective channels. However, when compared with conventional QAM demapper, the RCQD demapper requires a higher computational complexity. In this paper, a complexity-reduced max-log demapper is derived and implemented over a FPGA platform. The proposed demapper allows...
3D city map has been well studied in recent years. Ground laser scanner or airborne lidar are often used to collect 3D information in traditional 3D city map generation methods. As these systems are specially designed, they are usually expensive and complicate for mass marketing. This paper proposes a simple and fast 3D city map generation method, which relies on image-based reconstruction algorithms...
White Blood Cells (WBCs) counting provides invaluable information for diagnosis of different disease. Automatic counting is helpful for improving the hematological procedure. First step in automation; segmentation; is crucial for subsequent steps; feature extraction and classification. In this paper, WBCs segmentation using K-means Clustering (KMC) is proposed. First, RGB image is converted to a∗L∗b∗...
Transmission line is a vital component in a power system and damages to transmission lines pose serious threat to the safety of power system. In this paper, we provide an intelligent detection method for untwisted strands in transmission lines using image sequences captured from the Unmanned Aerial Vehicles (UAVs). Considering that transmission line detection is a challenging problem under illumination...
The reconstruction process in compressive sensing is an underdetermined problem. Existing reconstruction algorithms in compressive sensing approaches this problem using the standard sparsity model, where nonzero terms are randomly isolated among the signal. However, natural signals are tended to show group sparsity which may help in the reduction of computational complexity and acceleration of recovery...
This paper presents an algorithm for nonnegative matrix factorization 2D (NMF-2D) with the flexible β-Divergence. The β-Divergence is a group of cost functions parametrized by a single parameter β. The Least Squares divergence, Kullback-Leibler divergence and the Itakura-Saito divergence are special cases (β=2,1,0). This paper presents a more complete algorithm which uses a flexible range of β, instead...
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