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基于Mean Shift算法和粒子滤波器的人眼跟踪
- 粒子滤波算法讲述粒子滤波过程。基于Mean Shift算法和粒子滤波器的人眼跟踪,多谢支持。-particle filter on particle filtering process. Based on the Mean Shift Algorithm and the particle filter eye tracking, Thank you for your support.
mean-shift聚类
- mean-shift算法论文
MMSE_BLE.rar
- TD-SCDMA系统中的联合检测算法中的最小均方误差线性块均衡器(MMSE一BLE）算法的MATLAB程序 ,TD-SCDMA system, the joint detection algorithm in the minimum mean square error block linear equalizer (MMSE a BLE) program MATLAB algorithm
LMS
- 最小均方差（LMS）滤波器时延估计算法的Matlab实现-Matlab achieve minimum mean square (LMS) filter delay estimation algorithm
K-mean聚类的原理和MapReduce实现
- K-mean聚类的原理和MapReduce实现
m
- Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束.-Mean Shift the conc
kalmanexpri
- The Kalman filter is a set of mathematical equations that provides an efficient computational [recursive] means to estimate the state of a process, in a way that minimizes the mean of the squared error. The filter is very powerful in several aspe
stdmean
- standard deviation mean for matlab
beamformer
- Beamforming thesis describing Study of a various Beamforming Techniques And Implementation of the Constrained Least Mean Squares (LMS) algorithm for Beamforming
mmse_eq
- Here we design the minimum mean-squared error (MMSE) equalizer coefficients {q[k]}assuming that the input symbols {a[n]} and the noise { ˜ w[k]} are white random sequencesthat are uncorrelated with each other.-Here we design the minimum mean-squa
stb3100trilogy
- Analysis of Card Log . Rev.C. By card log we mean the data captured using a logging program between the STB and the Card . The better logging programs to use are raw data loggers ( such as MacLog etc..) as they do not filter out anything as the
dsp.least.mean.square.algorithm
- 数字信号处理自适应数字滤波器最小均方算法的结构与运算-DSP least mean square algorithm
zishiying
- matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(Least Square，LS)准则两大类，其他算法大多是这两种算法的演进。-matlab simulation analysis of various adaptive. . Adaptive information processing algorithms, a variety of plans, their essence ca
SC_FDE_system_frequency-domain-equalization-algori
- 。本文研究了SC-FDE系统中的最小均方误差判决反馈 均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法， MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟 踪信道变化并更新均衡器的抽头系数，其性能略优于最小 均方误差判决反馈均衡算法。-. In this paper, the SC-FDE system, the minimum mean square error decision feedback Equalization (MMSE-DFE) and
TrackingofTimeVaryingChannelsUsingTwoStepLMSTypeA
- This paper presents a modified version of the twostep least-mean-square (LMS)-type adaptive algorithm motivated by the work of Gazor. We describe the nonstationary adaptation characteristics of this modified two-step LMS (MG-LMS) algorithm fo
SPSSClementineMean
- SPSS Clementine Mean
Object-nackillg-by
- 该文采用各向异性核函数均值漂移 算法实现目标跟踪，由于该核函数的形状、大小、方向能自适应于目标局部结构的变化，保证了跟踪效果的稳定 性和鲁棒性。实验结果证明该算法是有效的。 关-This p印er implement8 object tr纵血ing with anisotropic kernel mean 8hiR in which the 8hape， 8cale，and orieIltation of the kernels adapt to the cha玎ging obj
zhongzhilvbo-
- 数字信号处理、图像处理 中值定理有关原理内容 快速算法-Digital signal processing, image processing, the mean value theorem principle content Fast Algorithm
K-mean-by-Jayesh
- K mean easy implementation
generating-random-noise-with-mean-x-and-variance-
- By using these matlab codes one can generate any noise with mean X and variance Y . Useful for analysis of signals in noisy environment