Video object segmentation by 2-D mesh-based motion analysis

Video object extraction is a key technology in content-based video coding.A novel video object extracting algorithm by two Dimensional (2-D) mesh-based motion analysis is proposed in this paper.Firstly,a 2-D mesh fitting the original frame image is obtained via feature detection algorithm. Then,higher order statistics motion analysis is applied on the 2-D mesh representation to get an initial motion detection mask.After post-processing,the final segmenting mask is quickly obtained.And hence the video object is effectively extracted.Experimental results show that the proposed algorithm combines the merits of mesh-based segmenting algorithms and pixel-based segmenting algorithms,and hereby achieves satisfactory subjective and objective performance while dramatically increasing the segmenting speed.     

A novel speech-processing strategy incorporating tonal information for cochlear implants

Good performance in cochlear implant users depends in large part on the ability of a speech processor to effectively decompose speech signals into multiple channels of narrow-band electrical pulses for stimulation of the auditory nerve. Speech processors that extract only envelopes of the narrow-band signals (e.g., the continuous interleaved sampling (CIS) processor) may not provide sufficient information to encode the tonal cues in languages such as Chinese. To improve the performance in cochlear implant users who speak tonal language, we proposed and developed a novel speech-processing strategy, which extracted both the envelopes of the narrow-band signals and the fundamental frequency (F0) of the speech signal, and used them to modulate both the amplitude and the frequency of the electrical pulses delivered to stimulation electrodes. We developed an algorithm to extract the fundatmental frequency and identified the general patterns of pitch variations of four typical tones in Chinese speech. The effectiveness of the extraction algorithm was verified with an artificial neural network that recognized the tonal patterns from the extracted F0 information. We then compared the novel strategy with the envelope-extraction CIS strategy in human subjects with normal hearing. The novel strategy produced significant improvement in perception of Chinese tones, phrases, and sentences. This novel processor with dynamic modulation of both frequency and amplitude is encouraging for the design of a cochlear implant device for sensorineurally deaf patients who speak tonal languages.     

4H-SiC埋沟MOSFET的研制

研制了4H-SiC热氧化生长氧化层埋沟nMOSFET.用室温下N离子注入的方法形成埋沟区和源漏区,然后在1600℃进行激活退火.离子注入所得到的埋沟区深度大约为0.2μm.从转移特性提取出来的峰值场效应迁移率约为18.1cm2/(V·s).造成低场效应迁移率的主要因素可能是粗糙的器件表面(器件表面布满密密麻麻的小坑).3μm和5μm器件的阈值电压分别为1.73V和1.72V.3μm器件饱和跨导约为102μS( V G=20V, V D=10V).     

岸基远程高频表面波雷达小型宽带天线系统的设计

从高频表面波雷达天线工程的角度出发,基于对数周期天线的设计理论,优化设计了一副小型 宽带发射天线;基于端射阵理论,优化设计了一副小型宽带、具有大前后比的双鞭天线,并以此作为阵列天线的基本单元组成六元均匀线阵。文中分析了收发天线的工作原理,并给出了计算机模拟结果。     

基于图像矩阵的广义主分量分析

传统的主分量分析在处理图像识别问题时是基于向量的,且没有充分利用训练样本的类别信息。该文提出了一种直接基于图像矩阵的广义主分量分析方法,该方法能够提取包含在类平均图像中的鉴别信息,与传统的主分量分析相比,具有更强的鉴别力。在ORL标准人脸库上的试验结果表明,所提出的方法不仅识别性能优于传统的主分量分析和Fisher线性鉴别分析,而且极大地提高了特征抽取的速度。     

一种新型的高精度神经元MOS源极跟随单元电路

提出了一种新型的神经元MOS源极跟随电路结构,该电路即使在输入信号小于阈值电压的情况下也能够完成源极跟随的功能,因而具有较高的精度.仿真和实验结果表明它比传统的神经元MOS源极跟随电路具有更高的精度     

光学方法检测牙髓活力

介绍了用光电体积描记器、脉冲血氧定量计、激光多普勒流量计等光电技术检测牙髓活力.对于中老年患者,牙龈中的血管比牙髓中发达,牙龈中产生的信号超过了牙髓,所以建立一种有效的光学探测途径相当困难.     

相关杂波的AR谱模型及其研究

研究了相关雷达杂波功率谱特性的ＡＲ模型及其模拟方法，提出了具有约束条件的修正ＬＥＶＩＳＯＮ递推算法和ＡＲ模型阶数估计方法，并与现有功率谱估计方法进行了比较，同时给出了计算机模拟结果。     

影响Ga-Si-ZSM-5沸石分子筛形貌及晶粒大小的因素

考察了影响合成Ｇａ－Ｓｉ－ＺＳＭ－５分子筛形貌和晶粒大小的若干因素，实验结果表明，合成参数的影响非常大，在低温、加压条件下可获得更小晶粒的分子筛产物。     

压阻型压力传感器灵敏度温漂及其补偿技术

就压阻型压力传感器的灵敏度温度漂问题进行述评，分析了灵敏度温漂产生的原因并提出解决灵敏度温漂的多种补偿方法。