Location:
Search - noise tracking
Search list
Description: Knowledge of the process noise covariance matrix
is essential for the application of Kalman filtering. However,
it is usually a difficult task to obtain an explicit expression of
for large time varying systems. This paper looks at an adaptive
Kalman filter method for dynamic harmonic state estimation and
harmonic injection tracking.-Knowledge of the process noise covariance matrix is essential for the application of Kalm an filtering. However, it is usually a difficult task to obtain an expli cit for large expression of time varying system s. This paper looks at an adaptive Kalman filter method for dynamic estimation a harmonic state nd harmonic injection tracking.
Platform: |
Size: 419840 |
Author: rifer |
Hits:
Description: An unsatisfactory property of particle filters is that they
may become inefficient when the observation noise is low.
In this paper we consider a simple-to-implement particle filter,
called ‘LIS-based particle filter’, whose aim is to overcome
the above mentioned weakness. LIS-based particle
filters sample the particles in a two-stage process that uses
information of the most recent observation, too. Experiments
with the standard bearings-only tracking problem indicate
that the proposed new particle filter method is indeed
a viable alternative to other methods.
Platform: |
Size: 122880 |
Author: 阳关 |
Hits:
Description: 在目标被动式跟踪中广泛应用的伪量测变换估计器(PLE)具有良好的误差收敛性。然而由于等价噪声和状态的相关性,该估计器的估计是有偏的。提出的强跟踪滤波器(STF)通过强制白化残差具有自适应地校正估计偏差和迅速跟踪状态变化的能力。STF已经在非线性系统时滞估计、故障诊断与容错控制方面取得了很好的效果。-Passive target tracking is widely used in the pseudo-measurement transform estimator (PLE) has a good error convergence. However, due to the equivalent noise and the relevance of state, the estimator is a biased estimate of. Raised strong tracking filter (STF) has adopted mandatory bleaching residuals adaptively estimated bias correction and rapid tracking of the status change. STF has been estimated in the time-delay nonlinear systems, fault diagnosis and fault-tolerant control has been achieved very good results.
Platform: |
Size: 7168 |
Author: 冯絮影 |
Hits:
Description: GSM TCH/FS 信道编码仿真
仿真通信系统包括内外编码器、交织重排器、加性/突发或混合干扰信道、去交织反重排器、内外译码器，模拟了信息从信源到信宿的全过程；
在高斯噪声、突发干扰或混合信道下测试每个步骤对误码率和系统性能的影响，通过数字及图形的比较，得出通信系统中各个模块的作用。-GSM TCH/FS channel coding simulation Simulation of communication systems, including internal and external encoder, interleaving rearrangement, and additive/sudden or mixed channel interference, de-interlacing anti-rearrangement, and internal and external decoder, analog information from the source to the letter places the entire process in Gaussian noise, sudden disruption or mixed channel to test each step of the bit error rate and system performance, through the figures and graphics comparison, the communication system in the role of each module.
Platform: |
Size: 45056 |
Author: 123456 |
Hits:
Description: 目标跟踪的仿真对于产生量测、噪声和杂波以及目标运动各种模型的matlab代码-Simulation for target tracking produce measurement, noise and clutter, as well as various models of target motion matlab code
Platform: |
Size: 1517568 |
Author: plow |
Hits:
Description: 介绍了一种基于锁频锁相环(FPLL)的载波跟踪算法。频率跟踪模块可以适应较大动态范围的频率变化，基于软件的数控振荡器(NCO)模块可以达到极高的频率跟踪精度。由于有锁频环的频率牵引，锁相环路滤波器可以设计得很窄，具有很好的抑噪性能，满足精确跟踪载波相位的要求。因此，该基于FPLL的载波跟踪算法可以适应信号存在较大的动态范围和噪声干扰的应用环境；同时，其鉴频鉴相算法表达式简单，易于用可编程数字器件实现。-Introduce an approach based on frequency-locking phase-locked loop (FPLL) carrier tracking algorithm. Frequency tracking module can adapt to a larger dynamic range of the frequency change, software-based numerical control oscillator (NCO) module can achieve the very high frequency tracking accuracy. Because of the frequency lock loop traction PLL filter can be designed very narrow, with very good noise suppression performance, to meet the precise requirements of carrier phase tracking. Therefore, the FPLL carrier-based tracking algorithm can be adapted to signal the existence of a larger dynamic range and noise of the application environment at the same time, the PFD algorithm expression is simple, easy to use programmable digital devices.
Platform: |
Size: 162816 |
Author: 何宁 |
Hits:
Description: 用一观测器从t=1秒开始对一个运动目标的距离进行连续地跟踪测量，假设观测的间隔为一秒钟，雷达到运动目标之间的距离为S(t)（1） 统计特性的初值为
（2）观测误差是与和均不相关的白噪声序列，并且有
（3）观测数据存放在附加的文件中（单位：m）。
要求：分析上述对象，建立系统模型，构造卡尔曼滤波器，编程计算，求：
（1） 距离S(t)的最佳估计及估计误差，
（2） 距离S(t-5)的最佳平滑及估计误差，
（3） 距离S(t+5)的最佳预测及估计误差，
（4） 对结果进行分析讨论。
-By one observer from the t = 1 PST on a moving target tracking for distance measurement, assuming that the observation interval is one second, the radar that the distance between the moving target for the S (t) (1) the statistical characteristics of the initial condition (2) observational error is not associated with white noise sequence, and (3) observational data stored in the attached document (unit: m). Requirements: Analysis of the above-mentioned object, the establishment of the system model, constructed Kalman filter, programming terms, seeking: (1) distance from S (t) the best estimate and the estimation error, (2) distance from S (t-5) the most good smoothing and estimation error, (3) distance from S (t+ 5) the best prediction and estimation error, (4) the results analyzed and discussed.
Platform: |
Size: 2048 |
Author: 裴海波 |
Hits:
Description: 用于机动目标跟踪的白噪声模型算法，本代码中需要调用模型函数，可以自己编写简单的模型函数即可。-For maneuvering target tracking algorithm for white-noise model, the code needs to call the model function, can I have written a simple model can function.
Platform: |
Size: 1024 |
Author: 郑光海 |
Hits:
Description: gps延迟锁定环中对热噪声的模拟，考虑了热噪声对跟踪精度的影响，很不错的-gps delay locked loop in the thermal noise of the simulation, taking into account thermal noise on the impact of tracking accuracy, very good
Platform: |
Size: 1024 |
Author: li jian |
Hits:
Description: 这个个程序是利用卡尔曼滤波实现人体关节点的跟踪问题，运用的是CV模型，噪声为高斯白噪声！有用的拿去看看！-This procedure is to use a Kalman filter to achieve a key point in human tracking problems, the use of the CV model, noise is Gaussian white noise! Take useful to see!
Platform: |
Size: 1024 |
Author: 岳立川 |
Hits:
Description: 本程序是利用kalman filter实现人体关节点跟踪的程序，运用的是CA模型，噪声是白噪声！一起学习-This procedure is to use the realization of human joints kalman filter tracking procedures, the use of the CA model, the noise is white noise! Learning together
Platform: |
Size: 1024 |
Author: 岳立川 |
Hits:
Description: 粒子滤波程序，仿真实现自由度机器人对目标的跟踪，使用kalman滤波估计总雅可比矩阵J，噪声为非高斯噪声-Particle filter procedure, simulation robot tracking of targets, the use of kalman filter estimated total Jacobian matrix J, the noise of non-Gaussian noise
Platform: |
Size: 6144 |
Author: testit123 |
Hits:
Description: 提出一种新的目标表示和定位方法,该方法是非刚体跟踪的核心技术.利用均质空间掩膜规范基于特征直方图的目标表示,该掩膜引入了适合于梯度优化的空间平滑相似函数,所以可以将目标定位问题转换为局部极大值求解问题.我们利用从Bhattacharyya系数倒出的规则作为相似度量,利用mean shift procedure完成优化求解.在给出的测试用例中, 本文方法成功解决了相机移动,阴影,以及其他的图象噪声干扰.文章对运动滤波和数据关联技术的集成也进行了讨论.-A new objective and positioning method to track non-rigid body' s core technology. Standardizing the use of homogeneous space mask the characteristics of histogram based on the objectives that the mask is suitable for the introduction of gradient optimization is similar to spatial smoothing function, Therefore, targeting the problem can be converted to solve the problem of local maxima. We poured from the rules of Bhattacharyya coefficient as similarity measure, using mean shift procedure for solving optimization. give the test cases in, the method succeeded in solving the camera Mobile, shadows, and other image noise. article on the campaign filtering and data association techniques of integration were also discussed.
Platform: |
Size: 2700288 |
Author: maolei |
Hits:
Description: This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring the velocity. The
developed algorithms are implemented and evaluated on TMS320C6416T DSP Starter
Kit (DSK). Segmentation is performed to detect the object after reducing the noise from
that scene. The object is tracked by plotting a rectangular bounding box around it in
each frame. The velocity of the object is determined by calculating the distance that the
object moved in a sequence of frames with respect to the frame rate that the video is
recorded. The algorithms developed can also be used for other applications (real time,
object classi cation, etc.).
Platform: |
Size: 1197056 |
Author: vikas |
Hits:
Description:
包含M文件，培训和跟踪落实的噪音中描述的算法：
[1] J.S.厄克伦斯和R. Heusdens，“非平稳噪声跟踪基于数据驱动的递归噪声功率的估计”，IEEE期刊。音频，语音卷。 16，第6页。1112年至1123年，2008年8月。
见Description.doc在zip文件。-Contains m-files to train and implement the noise tracking algorithm described in:
[1] J.S. Erkelens and R. Heusdens, "Tracking of nonstationary noise based on data-driven recursive noise power estimation", IEEE Trans. Audio, Speech & Lang. Proc., Vol. 16, No. 6, pp. 1112-1123, August 2008.
See Description.doc in the zip-file.
Platform: |
Size: 128000 |
Author: zaaa |
Hits:
Description: 根据” J.S. Erkelens and R. Heusdens, "Tracking of nonstationary noise based on data-driven recursive noise power estimation”所开发的源码-noisetracker based on data-driven recursive noise power estimation
Platform: |
Size: 120832 |
Author: jack |
Hits:
Description: 基于vc++6.0+opencv的运动目标的检测与跟踪，包括一个小车视频，主要功能是在噪声、静止背景下实现运动目标的检测-Vc++6.0+ opencv-based moving target detection and tracking, including a car video, the main function is in the noise, static background detection of moving objects
Platform: |
Size: 2745344 |
Author: 李静 |
Hits:
Description: 考虑两辆车在道路上同向行驶，在O-16s时，两车均保持匀速直线运动，由安装在后车上的车载毫米波雷达检测出与前车的距离为150m，相对速度为-3m/s，方位角 。在16-20s时，前车向右偏转，与后车的相对角加速度为 。后车加速，与前车的纵向相对加速度为 。雷达的扫描周期为T=0.1s，系统噪声为 ， 。量测误差为 。-Consider the two cars traveling the same direction on the road, in the O-16s, the two vehicles are kept uniform linear motion, installed in the vehicle after the car millimeter wave radar to detect the distance of the vehicle in front 150m, the relative speed- 3m/s, Azimuth. In the 16-20s, the first car to the right deflection, and the relative angular acceleration after the car is. After the vehicle acceleration, relative to the vehicle in front of the vertical acceleration. Radar scan period T = 0.1s, the system noise. Measurement error.
Platform: |
Size: 35840 |
Author: zouyi |
Hits:
Description: 该代码用于实现视觉目标跟踪研究中的协方差跟踪，能够把多种时空特征融合于统一的模型中，在实现视觉目标跟踪时具有较好的鲁棒性，而且其维数等于使用特征的数量，与各个特征的维数无关，因此，其计算复杂度较小，实时性较好。-This code is used to realize covariance tracking in the research field of visual object tracking of computer vision. It enables fusion of various spatial-temporal features into an unified object feature model, hence robust to noise. In addition, its dimension is equal to the number of the features used and independent of the dimensions of the features used. Therefore, it satisfies the requirement of real-time application due to its low computation cost.
Platform: |
Size: 133120 |
Author: 朱亮亮 |
Hits:
Description: Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation的code(Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation matlab code)
Platform: |
Size: 593920 |
Author: npulee
|
Hits:
« 12
3
4
5
6
7
8
9
10
...
18
»