Dynamic Programming in Digital Communications: Viterbi Decoding to Turbo Multiuser Detection

Many important signal processing tasks in digital communications are based on integer programming problems whose raw complexity is extremely high. Such problems include the decoding of convolutional codes, channel equalization, multiuser detection, and the joint performance of these tasks. In each of these problems, the high complexity arises from the need to perform simultaneous processing on long sequences of finite-valued symbols in order to optimally detect or decode them. Fortunately, the complexity of these optimization problems can often be greatly reduced through the use of dynamic programming, which efficiently finds optimal [e.g., maximum likelihood (ML) or maximum a posteriori probability (MAP)] decisions in long sequences of symbols. This paper reviews four decades of progress in this area: the Viterbi algorithm for ML decoding of convolutional codes of the 1960s; the ML sequence detectors for channel equalization and the BCJR algorithm for MAP decoding of convolutional codes of the 1970s; the ML and MAP multiuser detectors of the 1980s; and combinations of these through the turbo processing of the 1990s.     

Application of digital speckle pattern interferometry and wavelet transform in measurement of transverse vibrations in square plate

In this paper the study of out-of-plane or transverse vibrations in a square plate using digital speckle pattern interferometry (DSPI) is presented. To improve the measurement accuracy, we have implemented a new filtering scheme based on combination of average/median filtering and Symlet wavelet filtering which enhances the signal to noise ratio in the speckle interferogram obtained from DSPI. A large number of fringe patterns are shown for square plate with two different boundary conditions. Experimentally obtained resonance frequencies for the square plate for the boundary condition one edge fixed and other edges being free, the resonance frequencies obtained from DSPI show good agreement with that obtained from classical theory for thin plates.     

相干水声通信系统中均衡器长度设计方法

基于自适应均衡技术的相干通信被证明是有效的水声通信方式之一。在均衡器设计过程中,确定均衡长度的方法主要是经验确定与搜索算法,前者依赖于特定的环境,后者一般计算量较大。本文提出一种应用于相干水声通信系统的根据信道冲激响应确定均衡长度的设计方法。仿真及试验结果证明了该方法可以有效地提高通信的可靠性。     

产业核心技术突破的多主体多级均衡问题研究

产业核心技术研发具有“投入大、周期长、突破难”的特点,需走多主体参与、多级利益均衡、递阶式技术突破之路。基于此,立足产业外围技术发展和核心技术突破不同阶段,分别构建了“政府-企业”间的委托-代理博弈模型以及“政府-企业-学研机构”间的多方合作博弈模型;通过模型求解和数值仿真,分析各方博弈主体的损益关系以及影响其行为的关键因素。研究表明,影响外围技术发展的主要因素有企业的创新努力水平、政府激励、企业的风险规避度以及政企之间信息不对称的程度等,而影响核心技术突破的主要因素有政府激励、产学研创新费用、技术实现突破方式的概率等,相应地,不同阶段的对策与策略也应重点围绕上述因素进行设计。     

极值温差红外图像的自适应双局部增强算法

针对目前红外焦平面成像系统在观察目标、特别是极值温差目标时,各温度段灰度描述不均匀和细节不够的问题,提出了一种自适应红外图像双局部增强算法。详细介绍了通过空间分布和灰度统计特性两个方向实现对极值温差图像自适应增强的方法,该方法首先从红外图像的空间分布特性出发,将图像切割成多个局部图像,然后再从直方图灰度分布出发,将局部图像的直方图进行聚类分段,并对分段直方图均衡增强,最后对生成的每个局部图像增强结果进行线性插值拼接完成增强算法。通过在红外焦平面系统中实验证明了极值温差自适应的红外图像双局部增强算法的可行性,并获得了很好的效果,成像质量有明显提高。     

Equalization filter design for downfiring flat television speakers

Many loudspeakers in newer flat television systems are mounted on the bottom of the television, with their diaphragms facing downward, so as to be hidden inside the TV frame. This kind of loudspeaker installation, called downfiring, induces relatively large reflections from the walls of a room. The increased reflections inevitably change the impulse response of the loudspeakers, which leads to a perceptible distortion in sound quality. In this study, an equalization procedure to resolve the distortion due to downfiring loudspeakers is presented. The change in the early-arriving sound from the room reflections was analyzed, and the specific experimental environment was set up to measure the early reflections for designing a single-channel equalization filter. The inverse technique for the single-input multiple-output (SIMO) system was applied such that both the magnitude and phase responses from downfiring loudspeakers can be equalized at multiple listener positions. We also investigated the possible equalization range in space and time, for which the single-channel filter can work effectively. The performance of the filter designed for the equalization range was then demonstrated by experiments. The experiments were performed using a flat television mock-up installed in a reflective environment. For the performance evaluation of the proposed method, we employed two different measures that can represent the magnitude and phase distortions: the mean squared error of the magnitude and an energy decay curve. The experimental results demonstrate that the single-channel filter can reduce the early reflections from a downfiring loudspeaker by a considerable amount.     

一种基于图像局部信息的红外图像动态范围压缩算法

红外焦平面探测器输出的信号通常为14bit数字图像,要在常用的显示器上显示必须将14bit的图像压缩到8bit,压缩算法直接影响到了图像的细节和对比度。提出了一种基于图像局部信息的红外图像动态范围压缩算法,通过高斯滤波器将原始红外图像分解为基图像和细节图像,并统计原始图像每个像素的局部方差,然后根据每个像素的局部方差计算细节图像的自动增益函数,最后,将基图像进行平台直方图均衡化后与细节图像合成得到压缩后的图像。通过对多种场景的红外图像进行仿真验证,表明该算法能较好地增强图像的细节。     

多子直方图均衡微光图像增强及FPGA实现

针对微光图像对比度低,目标难以识别的问题,对微光图像增强算法进行了研究。提出了一种多子直方图均衡增强算法,该算法首先将直方图按面积平均分割成4个子直方图,利用平均像素数量作为阈值切割直方图降低过度增强现象,然后加入尺度因子对动态范围进行调整,最后分别对子直方图均衡得到增强效果。此算法用Verilog语言在现场可编程门阵列（FPGA）上具体实现,并给出了主观和客观的评价,改进算法能产生更清晰的图像,在硬件平台上也能实时显示增强效果,一帧图像处理时延约为0.45 ms。实验结果表明,改进算法不会产生饱和、噪声放大的现象,图像细节保持较好,满足视频图像处理实时性要求,得到了具有较好视觉效果的增强图像。     

混沌通信系统中非线性信道的自适应神经Legendre正交多项式均衡

针对混沌通信系统中非线性信道干扰问题，基于混沌信号重构理论和Legendre正交多项式结构，提出了一种自适应神经Legendre正交多项式信道均衡器，并给出相应的归一化最小均方算法. 仿真研究表明：所提出的自适应神经Legendre正交多项式信道均衡器能有效地消除线性和非线性信道干扰，均衡器输出信号能反映出混沌信号的特性，具有良好的抗干扰性能.该均衡器的结构简单，权系数参数较少，收敛稳定性较好. 关键词： Legendre 正交多项式 信道均衡 混沌吸引子 神经网络     

采用无耳壳头相关传输函数的虚拟声信号处理

本文提出采用无耳壳、封闭耳道的头相关传输函数（HRTF）进行虚拟声信号处理的方法。理论分析表明，在包含功率均衡的扬声器虚拟声信号处理中，采用无耳壳、封闭耳道的头相关传输函数可有效地减少信号处理函数的谷点，从而减少声重发的音色改变。心理声学的实验结果表明，新处理方法的声像定位与传统的带耳壳、耳道的HRTF处理无显著区别，但音色较后者有所改善。因而新的方法更适合实际的虚拟声信号处理应用。