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We investigate turbo coded bit interleaved coded modulation (BICM) schemes for multiple-input multiple-output (MIMO) block-fading channels. Both serial and parallel concatenated turbo codes are considered and their performance is compared. A sphere decoder is employed to achieve good performance with reduced computation complexity when the size of the constellation or the number of transmit antenna...
Fine Granular Scalable (FGS) video coding is a key technology in MPEG-4 streaming video profile. With the Internet developing rapidly, it comes into being and adapts magnificently to Internet's highly heterogeneity, providing with favorable robustness. However, FGS coding efficiency is low, which brings some Improving Algorithms of FGS. Progressive Fine Granular Scalable (PFGS) Coding is the significant...
Summary form only given. In this paper, Wyner-Ziv (WZ) video coding is a particular case of distributed video coding (DVC). Although some works, with improved performance, have been made in recent years, the coding efficiency of state-of-the-art WZ codec is still far from that of the state-of-the-art prediction-based codec, especially for high and complex motion contents. Moreover, most reported WZ...
Neural decoding is an active research area concerned with how sensory and other information is represented in the brain by networks of neurons. An important step in neural decoding research is to collect the subject's motion and neural activities synchronously, which requires a real-time motion capture system with high accuracy. In this paper, we propose a practical motion capture framework with the...
This work addresses the rate-distortion (R-D) optimal packetization (OP) of embedded bitstreams into independent source packets, in order to limit error propagation in transmission over packet lossy channels. The input embedded stream is assumed to be an interleaving of K independently decodable basic streams. To form N independent source packets, each of L symbols, the set of basic streams is partitioned...
Turbo equalization schemes based on minimum mean square error (MMSE) criteria available in the literature for multiple-input multiple-output (MIMO) systems are computationally expensive, as they require a relatively large matrix inversion. In this paper, we propose a low complexity turbo equalization (TE) scheme with successive interference cancellation for orthogonal frequency division multiplexing...
This paper considers the problem of uplink scheduling in wireless networks supporting successive interference cancellation (SIC) at the physical layer. By allowing concurrent interfering transmissions, SIC enables multi-packet reception at the receiver resulting in increased network throughput. Specifically, we consider maximum throughput scheduling and proportional fair scheduling problems and study...
This paper presents an efficient algorithm for the partial interference cancellation (PIC) group decoding. Partial interference cancellation is a linear operation that cancels interferences among symbol groups. The basic algorithm for the PIC operation requires a lot of matrix multiplications and inversions. Even though these matrix operations can be done in an efficient way by taking advantage of...
In this paper, we study adaptive nonlinear turbo equalization to model the nonlinear dependency of a linear minimum mean square error (MMSE) equalizer on soft information from the decoder. To accomplish this, we introduce piecewise linear models based on context trees that can adaptively choose both the partition regions as well as the equalizer coefficients in each region independently, with the...
In this paper, a new detection method which combines the semi-definite programming relaxation (SDR) with the sphere decoding (SD) is proposed for 256-QAM multiple-input multiple-output (MIMO) system. In this method, the SDR algorithms are engaged to obtain a primary result. Then, a hyper-sphere is constructed which is centered at the received signal and has its radius equals to the Euclidean distance...
A method employing the super scalar architecture of ARM®Cortex™-A8 processor has been proposed to reduce the hardware complexity of Huffman decoding algorithm. The focus of this paper is efficient decoding of escape coded code words in an audio bitstream using concurrent execution in ARM core and coprocessor. Results are provided showing performance gain obtained by using the techniques introduced.
In this paper, we focus on register allocation techniques to simultaneously reduce energy consumption and heat buildup of register accesses. The conflict between these two objectives is resolved through the introduction of a hardware rotator. A register allocation algorithm followed by a refinement method is proposed based on the access patterns and the effects of the rotator. Experimental results...
Since Multiple Input Multiple Output (MIMO) transmission has become more and more popular for current and future mobile communication systems, MIMO detection is a big issue. Linear detection algorithms are less complex and well understood but their BER performance is limited. ML detectors achieve the optimum result but have exponential computational complexity. Hence, iterative tree-search algorithms...
Turbo codes are proposed in most of the advanced digital communication standards, such as 3GPP-LTE. However, due to its computational complexity, the turbo decoder is one of the most power hungry blocks in digital baseband. To alleviate this issue, one way is to avoid surplus computing phases thanks to the early termination of the iterative decoding process. The use of stopping criteria is one of...
In this paper, we compare the performance and complexity of three existing blind carrier-frequency-offset (CFO) estimators when they are applied to estimate the residual Doppler shift for zero-padded OFDM transmissions over underwater acoustic channels: the null subcarrier based method [1], the O-M algorithm [2], and the Y-G algorithm [3]. Performances of these three methods are evaluated by extensive...
In this paper, we address two problems found in embedded implementations of Scalable Video Codecs (SVCs): the temporal signal energy distribution and frame-to-frame quality fluctuations. The unequal energy distribution between the low- and high-pass band with integer-based wavelets leads to sub-optimal rate-distortion choices coupled with quantization-error accumulations. The second problem is the...
Distributed Video Coding (DVC) is a popular topic in the research community and the past years have seen several different implementations. DVC has been proposed as a solution for applications that have limited battery resources and low hardware complexity, thus necessitating a low complexity encoder. An ideal application would be in remote surveillance/monitoring or live video conferencing. However,...
In this paper, we propose a new distributed video coding (DVC) method based on adaptive slice size using received motion vectors (MVs). In the proposed algorithm, the MVs estimated at a DVC decoder are transmitted to a corresponding encoder. In the proposed encoder, a predicted side information (PSI) is reconstructed with the transmitted MVs and key frames. Therefore, the PSI can be generated same...
This paper presents an improved feedback-assisted low complexity WZVC scheme. The performance of this scheme is improved by two enhancements: an improved mode-based key frame encoding and a 3DRS-assisted (three-dimensional recursive search assisted) motion estimation algorithm for WZ encoding. Experimental results show that our coding scheme can achieve significant gain compared to state-of-the-art...
In this paper, we introduce the concept of generalized instantly decodable network coding (G-IDNC) to further minimize decoding delay in wireless broadcast, compared to strict instantly decodable network coding (S-IDNC), studied in. G-IDNC loosens the strict instant decodability constraint in order to target more receivers while preserving the attractive properties of S-IDNC. We show that the minimum...
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