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tracking_and_Object_Classification_for_Automated_S
- O.Javed and M.Shah. 《tracking and object classification for automated surveillance》. 这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”，把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " tracking and object classification for automated surveillance" .
FD_VPTerm_Spec_10202009_V2009-2
- visa terminal, track, and verification guidelines. internal memo.
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- 经过二十余年的快速发展， 空间激光通信的研究重心逐渐从高精度ATP分系统向高速 率通信分系统转移 紧密跟踪空间激光通信的国际发展最新动态，从通信带宽和链路功率两个方面， 针对通信发射单元、接收单元和信道特性，分析了提高空间激光通信传输速率的技术难度与途径．分 别阐述了波长1 550 nm、基于EDFA 功放和前放技术，空间相干技术，光偏振复用技术．光波分复用 技术的基本原理、性能指标及关键技术，为高速率空间激光通信提供了技术参考-After more than 20 years
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- 由于载体对象的高动态特点，其上装载的GNSS 接收机在捕获信号和跟踪定位上面临很大的挑战，因此致使 GNSS/INS 组合系统的定位效果受到严重影响。本论文以 MEMS IMU/GNSS 超紧组合为研究目标，并以 MEMS IMU 环路辅助的GNSS/INS 紧组合技术为研究重点，深入研究了 MEMS IMU 辅助的 GNSS 信号捕获、MEMS IMU 辅助的 GNSS 信号跟踪、MEMS IMU 辅助的 GNSS/INS 紧组合导航定位算法和基于矢量跟踪结构的 GNSS/INS 超紧组
tracker-code-20111118
- motion tracking to detect and track moving objects through a sequence of images
gardnertimingdetector
- This paper presents the simulation performance of the all-digital symbol timing recovery using the Gardner Timing Error Detector over π/4-DQPSK modulation. The open loop statistics, the S-curve and the normalized timing error variance, were investiga
Maximum_partially_shaded_conditions
- This paper proposes a novel algorithm to track the global power peak under partially shaded conditions. The formulation of the algorithm is based on several critical observations made out of an extensive study of the PV characteristics and th
Accelerometer
- The main application of FreeIMU is orientation sensing: by reading the data from the various sensors is possible to compute precisely the orientation of FreeIMU in the space. Recent boards also feature an high resolution barometer allowing to precise
A tracking Approach for Inclined Orbit Satellites
- An approach to track satellites that are in inclined orbits. Fusion of 2 types of estimators.
Ship-wake-detection
- 提出了一种新颖的基于光学图像的航迹检测方法. 首先利用纹理分析方法判断待检测区域中是否含有航迹, 然后在通过判断的区域中使用条纹增强算法, 凸现航迹特征, 最后使用Radon 变换检测航迹, 并对结果进行了优化. 与现有的检测方法相比, 该方法针对性强, 复杂度低. 使用该方法对实际航拍图片进行了检测实验, 取得了很好的效果.-track propose a novel detection method based on the optical image. Firstly texture an
Liver-CT-Image
- 提出了一种改进的灰度共生矩阵肝脏CT 图纹理特征分析方法，即首先确定图像ROI 区域，接着构造一个新的能综合反映共生矩阵各角度信息的灰度共生矩阵，然后提取基于该矩阵的纹理特征参数。通过实验验证，上述方法是分析肝脏CT 图的一种快速有效的纹理特征分析方法，对其他特定类别图像的纹理特征分析有参考意义。Radon 变换检测航迹, 并对结果进行了优化. 与现有的检测方法相比, 该方法针对性强, 复杂度低. 使用该方法对实际航拍图片进行了检测实验, 取得了很好的效果.-track propose a no
00333019
- especially on those radars running in a continuous scanning mode. In this paper,we introduce the design principle and structure of high-speed and adaptive mu1 t ichannel radar data recording system,which has been developed in our research
00581581
- This paper considers the oretical and practical implementation of the a-p tracking process under the influence of track rate variations and/or track period perturbations. These considerations are necessary when the a-p tracker is used in The
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- information about MIS track for student
NN
- To improve efficiency, PV system must operate on maximum power point (MPP) so necessary to determine it. Thus, when a direct connection is carried out between the source and the load, the output of the PV module is seldom maximum value and the oper
mb_ftracker
- Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementati
Space-track
- Creating API for space-track.org
Space-track6
- Terms and definition of space flight space-track.org-Terms and definition of space flight space-track.org
Low-Complexity-
- 本文提出了一种低复杂度的变遗忘因子机制用于递归最小二乘恒模约束算法中来抑制干扰。改进的方法通过恒模代价函数的时间平均来调节遗忘因子，从而更快地跟踪干扰并抑制，该文章计算量低，收敛速度快。-This paper presents a low complexity variable forgetting factor recursive mechanism for lscm constraint method to suppress interference. Improved methods be
Segmentation
- In this project ,segmentation method that uses the k means technique to track tumor objects in magnetic resonance (MR) brain images. The method can segment MR brain images to help radiologists distinguish exactly lesion size and region.