Low Bit Rate Underwater Video Image Compression and Coding Method Based on Wavelet Decomposition

In view of the limited bandwidth of underwater video image transmission,a low bit rate underwater video compression coding method is proposed.Based on the preprocessing process of wavelet transform and coefficient down-sampling,the visual redundancy of underwater image is removed and the computational coefficients and coding bits are reduced.At the same time,combined with multi-level wavelet decomposition,inter frame motion compensation,entropy coding and other methods,according to the characteristics of different types of frame image data,reduce the number of calculations and improve the coding efficiency.The experimental results show that the reconstructed image quality can meet the visual requirements,and the average compression ratio of underwater video can meet the requirements of underwater acoustic channel transmission rate.

A Construction Method of Cartesian Authentication Codes from B N Pair Decomposition of SL_n(F_q)

In the present paper, a construction of Cartesian authentication codes by using the BN pair decomposition of special linear group is presented. Moreover, under the case that the encoding rules are chosen according to a uniform probability distribution, the probability of a successful impersonation attack and the probability of a successful substitution attack of the code are computed.

Fastener region location method based on gray-scale mutation

Rail fastener positioning method has high requirements for image quality and positioning accuracy.Therefore,a rail fastener positioning method based on gray mutation is proposed.Firstly,the image is denoised by an improved median filter.Then,according to the characteristics of image frequency domain,the image is decomposed by wavelet transfrom to extract low-frequency component,and the low-frequency component is filtered and processed by gamma transformation to reduce the influence of natural environment factors on image quality.After that,according to the change rule of gray-scale values of different regions in the image,the gray-scale mutation in column and line directions of the image is statistically analyzed,and then the rail surface and the sleeper are located.Finally,the fastener area is accurately located by using the position relationship of the rail surface,the sleeper and the fastener in the image.The experimental results show that the positioning accuracy of the proposed method is 93.19%,which can quickly and effectively locate the fastener region,and has strong environmental adaptability,robustness and practicability.

Application of signal sparse decomposition in dynamic test

In dynamic test,sampling rate is high and noise is strong,so a signal sparse decomposition method based on Gabor dictionary is put forward.This method iteratively decomposes the signal with the matching pursuit(MP)algorithm and takes the coherence ratio of the threshold as a condition of iteration termination.Standard MP algorithm is time-consuming,thus an adaptive genetic algorithm is introduced to MP method,which makes computation speed accelerate effectively.Experimental results indicate that this method not only can effectively remove high-frequency noise but also can compress the signal greatly.

Ti－Code12合金焊后退火对组织性能的影响

研究了Ｔｉ－Ｃｏｄｅ１２合金（Ｔｉ－０．３Ｍｏ－０．８Ｎｉ）焊后退火对组织和性能的影响．结果表明焊后退火将引起残存β相的共析分解，共析分解产物Ｔｉ２Ｎｉ相具有面心立方结构．合金的耐蚀性来源于α基体上Ｔｉ２Ｎｉ相的存在，Ｔｉ２Ｎｉ相既可在晶间沉淀，也能在晶内沉淀．本研究对Ｔｉ－Ｃｏｄｅ１２合金耐蚀性机理提出了直接证据．

Wavelet Adaptive Bitzerotree Coding for Video

This paper proposes a new wavelet data structure called adaptive bitzerotree and applies it to high compression rate video coding together with the multiresolution motion estimation. In this method the characters of the 2D wavelet transform multiresolution decomposition and the spatial correlativity of coefficients among the different sub images are utilized efficiently. The main advantage of this scheme is that the most important data of the motion compensated interframe prediction error image are coded prioritarily, resulting in excellent coding performance. Besides this, it has some other advantages such as requiring absolutely no training, and precise bit control.

Design of an adaptive precoding/STBC baseband transceiver on a reconfigurable architecture

Precoding and space-time block coding （STBC）techniques using the uniform channel decomposition （UCD）are proposed to improve the bit error rate （BER） of themultiple-antenna communication system, but at a cost of areduced data rate. In order to achieve a higher overall systemperformance, a novel adaptive transceiver architecture whichflexibly combines both UCD and UCD ＋ STBC technologies isproposed. The channel state information （CSI） feedback pathwas added to the precoder to select which coding method wasto be used, i.e. UCD alone or UCD ＋ STBC. With thesmaller constellation sizes, Matlab simulation results showthat, the adaptive transceiver architecture will select the UCD-only mode under the higher SNR conditions in order to achievea higher bit rate. The UCD ＋ STBC mode will be selectedunder the lower SNR conditions （e. g., SNR 〈 10 dB） inorder to maintain good BER performance at the cost of areduced data rate. This architecture was implemented andverified using both UMC 0.18 ASIC process technology and aXilinx xc4vlx Virtex-4 FPGA at 150 MHz. The simulationresults demonstrate that the required number of reconfigurablearithmetic unit slices grows linearly with the channel matrixsize, while the number of adder array unit and reconfigurablelogic unit slices increases slightly with the constellation size.

Trade-off Optimization for Scalable Video Coding Streaming in Relay-Based OFDMA Networks

To achieve an optimal trade-off between video quality and energy efficiency in the uplink streaming of multi-user Scalable Video Coding (SVC) videos in relay-based Orthogonal Frequency Division Multiple Access (OFDMA) cellular networks, a cross-layer design framework that jointly selects the Transmission Policy (TP) for SVC video frames, assigns OFDMA subcarriers, and allocates power for each subcarrier is proposed. We apply the dual decomposition method to the problem, and obtain a TP selection subproblem for each SVC video adaptation and a resource allocation subproblem of Joint Subcarrier, Relay and Power Allocation (JSRPA). A second level of dual decomposition is used to divide the JSRPA problem into independent subcarrier subproblems. The proposed Crosslayer Trade-off Optimization (CTO) algorithm is sub-distributed with significantly low complexity. A performance evaluation with typical SVC video traces demonstrates that the proposed algorithm is able to converge and efficiently achieve the optimal trade-off between the video quality and energy consumption at the MSs for uplink SVC streaming.

面向电力设备红外图像的混合噪声去除方法研究

电力设备的红外图像在采集传输过程中,易受高斯噪声与脉冲噪声的影响从而破坏图像的真实信息,为满足图像处理过程对图像质量的要求,文中提出了一种针对红外图像混合噪声的滤除方法。首先利用三方加权稀疏编码(TWSC)模型有效滤除红外图像中的高斯噪声,然后利用图像结构纹理分解结合中值滤波算法实现剩余脉冲噪声的分离与去除,实现在滤除红外图像混合噪声的同时较好地保持图像的边缘结构信息,结合实例分析表明文中方法能够有效滤除噪声并获得较高的峰值信噪比(PSNR)与结构相似度(SSIM)。

基于小波压缩深度学习重构的多图像光学加密

为解决多图像加密算法密文体积大、加密效果差、重构效果不理想等问题,提出一种基于小波压缩和深度学习重构的多图像光学加密方法。利用小波压缩提取多图像的低频部分,将重排后的新图放入改进的FDT-DRPE光学加密系统中得到密文;利用矢量分解和螺旋相位变换克服FDT-DRPE不敏感问题;构造的L_S混沌系统提高密钥敏感性。提出新型深度学习网络模型BHCN,解决传统图像重构精度不高问题。实验结果表明,密文体积可压缩至原图的1/4,重构图像的峰值信噪比为34.57 dB,结构相似性为0.9521,与同类文献相比,速度更快,重构效果更好,安全性更高。

基于改进随机森林的高光谱激光雷达信号分选研究

高光谱激光雷达数据在频谱维度上具有很高的维度,包含大量的波段或频带,易出现忽视频谱带中有用信息的情况,进而导致高光谱激光雷达信号分选效果较差。为此,提出基于改进随机森林的高光谱激光雷达信号分选研究。首先,采用变分模态分解算法对高光谱激光雷达含噪信号展开去噪处理;然后,采用长短期记忆神经网络算法对去噪后的高光谱激光雷达信号展开特征提取,并利用自编码神经网络对提取的特征展开重构处理,以获取重构后的雷达信号特征;最后,采用随机森林算法根据高光谱激光雷达信号特征完成信号分选。实验结果表明,所提方法的SNR为30.648 dB,RMSE为0.1498,预测分选类别与实际分选类别几乎一致,分析时间始终未超过5 s,表明所提方法的分选性能较好,具有实用性。

裂解碳九解聚组分制备共冷聚石油树脂的研究

以裂解碳九馏分解聚物料、脱环C_(5)、热聚树脂溶剂为原料,通过选择合适的配比来调控物料中有效组分比例等参数;研究了配料中解聚料、脱环C_(5)加入比例对共冷聚石油树脂色号、软化点、蜡雾点等性能的影响。

一种伪码连续波体制的无线电高度表功能指标分解设计方法

文章分析了伪码测距体制无线电测高功能的基本原理和基于伪码测距体制的指标体系,重点研究无线电测高功能的各个组成部分分解各端到端的设计指标是否能满足用户需求,并通过天线仿真各种可能指标,验证指标分解方法的合理性,为后续的无线电测高功能设计提供指标分解思路,也为后续无线电高度表功能方案改进提供数据参考。

利用张量分解的多天线长码直扩CDMA信号扩频码盲估计

针对插补法效果不佳的多天线长码直扩CDMA信号扩频码盲估计问题,采用分段思想,将接收信号构建成的三阶张量按照扩频增益分块成等价于Tucker分解模型的子张量。然后对子张量利用变步长梯度下降算法进行Tucker分解得到扩频码片段和接收增益矩阵。根据子张量的接收增益矩阵相同的特点,利用各个子张量接收增益矩阵的互相关矩阵估计置换矩阵,去除扩频码片段排序模糊。最后利用扩频码的自相关性,去除扩频码片段的幅度模糊,得到每个用户扩频码。仿真结果验证了算法的有效性。

基于奇异值分解的低速率波形内插语音编码算法

波形内插(WI)语音编码模型作为当今最具潜力的低速率语音编码方案之一,因其良好的性能,越来越受到人们的重视.本文基于一种奇异值分解(SVD)的特征波形分解方法,利用语音信号的感知特性,将二维特征波形的幅度谱分成基本矩阵、过渡矩阵和补充矩阵,并采用了不同的量化方法,有效地降低了运算复杂度;另外,本文根据语音信号时变特性,将三个矩阵分为三种组合模式表示特征波形幅度谱,并引入周期因子和能量熵来衡量矩阵周期程度,解决了奇异值分解后参数难于量化的问题,提高了编码效率.主观A/B测试表明,本文提出的2.4kbps SVD-WI编码器的重建语音质量略好于2·4kbps MELP编码器.

BOC信号的伪码周期和组合码盲估计

针对在低信噪比下存在残余频偏的BOC(Binary-Offset-Carrier)调制信号的伪码周期以及组合码(扩频序列和副载波序列的组合)盲估计问题,提出了功率谱二次处理结合矩阵分解的方法。该方法首先对存在残余频偏调制的BOC信号进行二次功率谱运算,所得二次功率谱中会在伪码周期及整数倍出现尖锐的脉冲,通过检测峰值间的距离估计信号的伪码周期,然后对信号采样并按伪码周期分段构成数据向量,计算相关矩阵并进行奇异值分解,最后搜索最大和次大奇异值以及对应的向量估计出组合码序列。仿真分析表明,该方法能够在较大频偏和较低的信噪比下达到较精确的估计性能。相关研究对于从事卫星导航接收机设计的工程技术人员具有一定的参考价值。

基于纹理分解的变换域JND模型及图像编码方法

为了提高变换域JND模型的精度,在计算对比度掩盖因子时只对纹理分量滤波并判断区域类型的方法避免了JND低估的问题。将改进的JND模型用于图像编码,考虑到辅助信息对编码效率的影响,把经过调整后的JND模型结合到量化过程中,能去除更多的视觉冗余并保持兼容性。仿真结果表明,纹理分解的方法提高了JND阈值,改进的编码方法在相似的视觉质量下能节省更多的码率并且不需要增加额外的比特开销,该编码思路也适用于视频编码。

一种基于子树分解的组播线性网络编码算法

针对拓扑不变网络的单源组播网络编码问题,基于子树分解提出一种新的线性网络编码算法。该算法由线图变换、子树分解、边不相邻路径搜索、全局编码矢量分配和局部编码矢量计算等过程组成。算法输入为满足组播条件的有向无环网络,输出为各边的全局编码矢量和局部编码矢量。在子树分解过程中,子树内部的边不需要编码,只对子树之间的边进行编码。理论分析和仿真实验结果表明,利用子树分解可以降低网络规模以及路径搜索和分配编码矢量的计算复杂度,缩短编码算法的运行时间,因此该算法是一种高效的单源组播网络编码算法。

基于奇异值分解和小波变换的图像压缩算法

针对基于图像处理的机械故障诊断和状态监测信息数据量大,不利于传输和存储等问题,提出了一种基于奇异值分解(SVD)和小波变换的图像压缩算法。该算法利用奇异值分解和小波变换对图像进行两级压缩。首先对图像进行奇异值分解,通过设定能量比阈值自适应地保留部分数值较大的奇异值,舍弃其它数值较小的奇异值,实现图像初步压缩,然后对保留的奇异值对应的奇异向量矩阵采用小波变换进一步压缩。将所提算法与霍夫曼编码结合,对火炮炮膛疵病图像进行了压缩。试验结果表明,本文算法在保证图像重建质量情况下,可以有效提高图像压缩比。

基于改进LU分解的CMMB标准中LDPC编码器设计

根据CMMB标准中LDPC码校验矩阵的固有特点,设计了一种基于改进LU分解的高性能编码器,并在Altera公司的EP3C120FPGA上实现了该方案。该编码方案充分合理地利用了校验矩阵的循环特性,节约了大量存储器资源。实验结果表明,该编码器具有存储器消耗少、成本低等优点。