Some Aspects of Nonstationary Myoelectric Signal Processing

Nonstationary myoelectric signal processing is considered. A midpoint moving average estimator for the signal variance is developed. The performance of the estimator is analyzed and optimum window size criteria are derived. Comparison of the theoretical performance to experimental performance shows good agreement. The resultant estimation error is only moderately (2-3 percent) degraded from the equivalent stationary case. Finally, the developed estimator is compared to a typical squarer followed by a low-pass filter myoelectric processor. Provided that the low-pass filter has a linear phase characteristic in the passband, the two systems have essentially the same error performance.     

Signal Processing Techniques for 5G: An Overview

This paper gives an outline of the algorithms and implementation of the main signal processing techniques being developed for 5G wireless communication. The first part contains a review and comparison of six orthogonal and non-orthogonal waveform-generation and modulation schemes: generalized frequency-division multiplexing(GFDM), filter-bank multicarrier(FBMC), universal filtered multicarrier(UFMC), bi-orthogonal frequency-division multiplexing(BFDM), sparse-code multiple-access(SCMA), and non-orthogonal multiple access(NOMA). The second part discusses spatial signal processing algorithms and implementations for massive multiple-input multiple-output(massive-MIMO), 3D beamforming and diversity, and orbital angular momentum(OAM) based multiplexing. The last part gives an overview of signal processing aspects of other emerging techniques in 5G, such as millimeter-wave,cloud radio access networks, full duplex mode, and digital radio-frequency processing.     

自适应信号分解方法在主动声呐信号处理中的应用研究

利用基于“Matching Pursuit”算法的自适应信号分解方法,探讨了主动声呐信号处理中多目标回波的检测及参数估计问题。该方法既能实现多目标分辨,又能提取出更多的目标特征信息,所以能够充分发挥宽带信号的优势。再者,不仅对更广泛类型的发射信号具有普适性,而且分解结果能为下一段接收数据的选取提供参考信忠。因而,同已有的信号处理方法相比,该方法具有明显的优越性,是一种比较好的信号分析方法。仿真实验证明了该方法的有效性。     

Myoelectric Signal Processing: Optimal Estimation Applied to Electromyography?Part I: Derivation of the Optimal Myoprocessor

This paper (Part I of II) describes the development of a novel technique for processing the electrical activity of muscle which uses multiple channels of myoelectric activity. A phenomenological mathematical model of myoelectric activity is formulated. From this model, a mathematical statement of the optimal myoelectric signal processor is derived, and some of its properties are investigated. This mathematical statement encompasses and places in perspective almost all single-channel myoprocessor developments to date, as well as specifying the optimal multiple-channel myoprocessor. An experimental demonstration of the efficacy of this processor is presented in a subsequent paper (Part II).     

ASIC电路在雷达信号处理中的应用

介绍了对消求模电路,ＣＦＡＲ电路,ＡＣＡ校正电路,复数乘法累加器,ＦＩＲ滤波器等ＡＳＩＣ电路的基本原理和功能,以及各种ＡＳＩＣ电路在雷达信号处理中的应用。     

Photonic Signal Processing of High-Speed Signals Using Fiber Gratings

Methods for wideband photonic signal processing using fiber delay lines and Bragg grating sampling elements are described. These processors provide new capabilities for the realization of high time-bandwidth operation and high resolution performance. Multiple wavelength techniques with discrete and chirped Bragg gratings are described, which have high capacity signal processing functions using dense parallel signal processing techniques. Both fixed and tunable or reconfigurable processors using wavelength control to change the sampling time are discussed. A range of grating-based signal processors, including high Q microwave filtering, frequency discriminators, widely tunable filters, fast and adaptive signal correlators, and true-time delay beamforming in phased array antennas are described.     

集中式MIMO雷达阵列信号处理技术研究

根据集中式多输入多输出雷达信号模型,给出了其阵列信号处理的处理流程。该文对频率编码正交信号的阵列信号处理方法进行了研究。基于该正交信号的信号模型,针对其互相关及自相关性能讨论了信号参数关系。进而研究了在处理中需关注的运动补偿、接收波束展宽、发射波束合成宽带等问题。文中分析了该正交信号阵列通道误差,给出了误差校准方法,并进行仿真验证,说明了方法的有效性。最后给出了详细的处理流程,并对主要的处理运算量进行了评估,对工程应用有指导意义。     

基于MATLAB的信号与系统、数字信号处理实验体系教学实践

信号与系统、数字信号处理分别从系统分析和系统综合两个角度讨论线性时不变系统对激励信号的响应。本文探讨了信号与系统、数字信号处理二者的理论体系结构,在此基础上提出了基于Matlab的信号与系统、数字信号处理的实验体系结构。通过对此实验体系的教学实践,能较有效地加深学生对信号与系统、数字信号处理的基本理论、原理、以及它们之间的联系的认识和理解。作为示例,本文采用Matlab仿真IIR数字滤波器的级联与并联的结构。     

波长扫描干涉仪信号处理技术

提出了一种可用于绝对距离测量的光纤扫描干涉仪。基于数字信号处理技术,设计了一种算法,从而有效地提高了相位的分辨率、滤除噪声和干扰并克服了扫描过程中波长的随机晃动,可达到距离测量所要求的０．０５μｍ的精度和０．０１μｍ的分辨率     

小波变换在相位编码信号处理中的应用

通过对小波分解系数进行门限阈值处理 ,可以有效地抑制噪声 ,同时能够很好地提取目标信号。文章基于两种阈值选取准则 (CM与MM ) ,对小波变换在相位编码信号处理中的应用进行了仿真实验。仿真结果表明 ,该方法除对噪声具有很好的抑制作用外 ,还有效地保留了目标信号的波形特征     

The Dynamic Pneumocardiogram: An Application of Coherent Signal Processing to Cardiovascular Measurement

The modulation of respiratory flow by cardiac function has been the subject of scientific investigation for over 100 years. The waveform of these modulations is called a pneumocardiogram (PNCG). All reported pneumocardiograms have been obtained during a state of apnea with a patent glottis maintained by voluntary control or intratracheal intubation. In this study, simple filters and coherent signal averaging techniques were applied to extract PNCG's from unrestrained breathing patterns in man. Interpretable PNCG's were easily collected by this method under varied conditions including sitting at rest, running in place, and resting supine. The PNCG's observed in this study were unique to each individual and were altered by measurement conditions. The application of these techniques to other cardiovascular measurements including phonocardiograms, arterial pulses, impedence plethysmograms, etc., is discussed.     

微电子技术在雷达信号处理中的应用

本文结合微电子技术在雷达信号处理应用中的发展方向，将应用较广泛的数字信号处理分系统，按通用化、系列化、模块化的原则，分为若干模块。对数据采集、数字脉冲压缩、数字滤波、恒虚警模块分别提出了一些技术要求；对雷达信号处理中常用的电源也给出了技术指标。     

时频分析在阵列信号处理中的应用

时频分析已经应用到了许多领域 ,Forrester,Atlas et al.和 Williams最先认识到时频分析在机器故障检测这一领域的重要性 ,并且做了大量的研究工作。在生物和生物医学中 ,时频分析的应用也很广泛。在通信领域 ,A m in也把时频分析作为一种有效的工具来使用。当然 ,时频分析在信号检测与信号分类中也得到了广泛的应用。近来 Am in将时频分析应用到统计信号处理和阵列信号处理之中 ,取得了很多重要的进展。本文主要综述时频分析在阵列信号处理中的应用。时频分析在阵列信号处理中主要有两方面的应用 ,一是时频 MUSIC,一是空时频分布     

麦克风阵列信号处理的研究现状与应用

在回顾麦克风阵列信号处理研究历程的基础上,对麦克风阵列信号处理的特点进行分析,总结了目前的研究热点问题及现有算法并对各算法的优缺点进行比较,重点阐述了使用最为广泛的声源定位算法,最后介绍几个有价值的应用领域,为进一步研究麦克风阵列信号处理奠定基础。     

Myoelectric Signal Processing: Optimal Estimation Applied to Electromyography?Part II: Experimental Demonstration of Optimal Myoprocessor Performance

This paper (Part II of two) presents an experimental demonstration of the performance achieved by implementing the mathematically derived optimal myoprocessor described in Part I. Almost an order-of-magnitude improvement over the common myoprocessor is obtained. Excellent agreement of the experimental results with the analytical predictions verifies the mathematical analysis. The relative contributions of each stage of the optimal myoprocessor are examined. A discussion and comparison of several existing and proposed techniques for myoprocessor improvement are presented.     

自适应信号处理技术的应用

自适应信号处理技术在雷达、通信、声纳、图像处理、计算机视觉、地震勘探、生物医学、振动工程等领域有着极其重要的应用。目前这门新学科仍在继续向纵深方向迅速发展,特别是盲自适应信号处理和利用神经网络进行的非线性自适应信号处理。对于实现智能信息处理系统有很好的应用前景。介绍了自适应信号处理技术在滤波、系统辨识、自适应均衡、回波抵消、谱估计、谱线增强、自适应波束形成等方面的应用,并介绍了其发展前景。     

动态聚类算法在ESM信号处理中的应用

对电子支援措施(ESM)信号处理进行了简单叙述,从传统信号处理方法出发,分析传统信号处理的不足和局限性,然后提出动态聚类算法,并分析了它的应用,最后通过模拟器进行了仿真验证。     

一种适用于生理信号的OTA-C滤波器

设计了一种全集成频率可调的OTA-C滤波器,主要应用于低频率生理信号的处理。其中,跨导放大器(OTA)采用串并联金属氧化物半导体场效应晶体管(MOSFET)阵列结构。通过改变外部控制电压,进而改变OTA的跨导值,可以实现滤波器截止频率可调。滤波器采用标准的0.18 μm CMOS工艺,电源电压为1.8 V。当OTA的偏置电流为0.01 μA时,其等效跨导低至1.3×10-10 S,得到OTA-C滤波器的截止频率为0.2 Hz。调节外部电压,使偏置电流在0.01~0.5 μA之间变化,OTA的等效跨导值为1.3×10-10~1.2×10-9 S,OTA-C的截止频率为0.2~2 Hz。     

并行计算机在现代雷达信号处理中的应用

现代各种体制的雷达，包括地基雷达、舰载雷达、机载雷达和星载雷达如想提高雷达性能，就要大力提高信号处理和数据处理速度，目前国内外均采用现成商用大规模并行处理机。这些处理机的型号较多，文中着重介绍美国成功研制的MP-2，因为MP-2在美国THAAD和NMD地基雷达中得到了成功应用。此外还介绍了并行处理机在国内外机载和星载雷达中的应用及发展。