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dipback
- 图像处理的标准程序 经过几十次测试 包括：bmp图象读取，噪声产生，滤波，边缘跟踪-image processing standard procedure after dozens of tests including : bmp image read, noise, filtering, Edge tracking, etc.
AnadaptiveKalmanfilterfordynamicharmonicstateestim
- 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
OnusingLikelihood-adjustedProposalsinParticleFilte
- 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
storing_paintbrush_in_accessdb34243
- 重庆邮电学院 TD-SCDMA移动终端所有算法 3 东南大学 G.711丟帧补偿定点算法 4 南京航空航天大学 数字视频/字符增强算法 5 南京航空航天大学 视频微光降噪音,测向算法 6 合肥工业大学 JPEG 7 西安交通大学 AAC编,解码 8 西安电子科技大学 自动视频跟踪 9 华北工学院 工业CT快速重构算法 10 山东大学 双线极大值匹配法改进算法 11 清华大学(LAB)-Chongqing Institute of Posts and Telecommunications of T
rob_hess_pf.粒子滤波现在已经成为目标跟踪领域的主流算法
- 粒子滤波现在已经成为目标跟踪领域的主流算法，它的应用范围广泛，在非线性、非高斯噪声下依然表现良好。该代码是Rob Hess 编写的。他的个人主页是：http://web.engr.oregonstate.edu/~hess/ ,Now,Partical filter has become the main algorithm in moving target tracking region.It still perform very well in nonlinear non-gaussia
cvfilter.rar
- 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!
RCS
- 雷达建模仿真的一些基本程序，主要有目标跟踪，信噪比，后向反射系数等雷达系统建模仿真程序-Radar modeling and simulation of some basic procedures, main target tracking, radar system signal to noise ratio and other process modeling and simulation
LPFleida
- Pf粒子滤波实现的目标跟踪程序，可实现针对非高斯噪声情况下的跟踪-Pf particle filter to achieve tracking procedures, can be non-Gaussian noise for tracking cases
Image-Processing
- vc++数字图像编程基础，包括点运算、几何变换（平移、旋转、缩放、镜像）、正交变换（沃尔什、傅里叶、离散余弦）、图像增强（图像平滑、中值滤波、梯度锐化、拉普拉斯锐化）、形态学变换（腐蚀、膨胀、开、关）、边缘与轮廓（robert、sobel、frewit、kirsch、gauss-laplace边缘检测算子，hough变换，轮廓提取，轮廓跟踪）、图像分析（阈值分割、投影检测、差影检测、模板匹配）、图像复原（卷积模糊、逆滤波复原、维纳滤波复原，随机、椒盐噪声）、图像编码（赫夫曼编码、香农费诺编码、行
Photo
- 数字图像处理编程入门 书和书的 源代码 1) windows位图bitmap(即bmp文件)的结构和调色版的概念； (2) 图象的平移、旋转、镜象变换、转置变换、放缩； (3) 图象的平滑(去噪声)、锐化； (4) 图象的半影调、抖动技术； (5) 图象的直方图修正、彩色变换； (6) 图象的腐蚀和膨胀效果、细化算法、骨架的提取； (7) 图象的边沿检测与抽取、hough变换、轮廓跟踪； (8) 图象的检测、模板匹配；
Subspace-Tracking
- Subspace Tracking in Colored Noise Based on Oblique Projection
Moving-Object-Detection-and-Tracking
- extracting background Bit-layer-A method of achieving background is presented which detect the moving object with statistics from complex scene. Compared with other methods of achieving image background, this approach can achieve and update s
high-dynamic-carrier-tracking
- 基于频率锁定环路和相位锁定环路级联，高斯噪声下的高动态实现载波跟踪-Based on frequency-locked loop and a phase locked loop cascade, the Gaussian noise high dynamic carrier tracking
detection-and-tracking
- 雷达检测跟踪过程无缝连接过程。 雷达检测跟踪过程无缝连接过程。-Detection and tracking are normally considered separate processes. First the signal processing system associated with a sensor examines the signal to determine whether to call detection. Once detection is called, it is
target-tracking
- 目标跟踪的仿真对于产生量测、噪声和杂波的matlab代码-Target tracking simulation for production test, noise and clutter of matlab code
low-complexity-noise-estimation
- 一种低复杂度的噪声谱跟踪算法，用于语音增强和语音识别中，文件夹内有参考文献。-A low noise spectral tracking algorithm complexity, for speech enhancement and speech recognition, there are references folder.
Noisetracking
- Implements a data-driven noise tracking algorithm suitable for nonstationary noise sources.
2D-tracking
- 2D tracking using Mathematica...Generate synthetic data: Model true trajectory plus noise
tracking
- Initialize the Kalman filter parameters R - measurement noise, H - transform measure to state Q - system noise, P - the status covarince matrix A - state transform matrix- Initialize the Kalman filter parameters R - measurement no
noise_estimation
- Israel cohen提出的一种跟踪噪声最小值算法，算法在有声段和无声段都可以更新噪声， 但是遇到噪声突然变大的情况，无法解决(A tracking noise minimum algorithm proposed by Israel Cohen, which updates noise in both the vocal and unvoiced segments, However, when the noise suddenly increases, the situation can