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BFSK_AWGN
BFSK信号经高斯白噪声信道仿真Simulink仿真(BFSK signals by Gaussian channel simulation)
- 2010-05-24 12:34:00下载
- 积分：1
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EKF
MATLAB三种卡尔曼滤波对比，分别是扩展卡尔曼滤波EKF，不敏卡尔曼滤波UKF，粒子滤波PF。有跟踪效果和估计值误差。(MATLAB the three Kalman filtering contrast, extended Kalman filter EKF, Unscented Kalman Filter UKF, particle filter PF. Tracking effect and the estimated value of the error.)
- 2013-04-08 19:10:26下载
- 积分：1
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QPSK
qpsk调制解调，外加取样判决脉冲成型，可以加入任何程序模块中，保证解码译码的便利性(qpsk modem, plus a sample sentence pulse shaping, you can add any program module to ensure ease of decoding decoding)
- 2011-02-15 06:18:22下载
- 积分：1
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RidgeQR
基于QR分解的岭回归函数，这个函数是非的有用是已经证明过的准确程序( center input and output, so we can estimate w0 separately
since we don t want to shrink w0
)
- 2013-11-24 14:37:31下载
- 积分：1
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Propagator-DOA-estimation
传播算子DOA估计算法MATLAB程序,估计到达角、离开角(Propagator DOA estimation algorithm based on MATLAB program)
- 2013-09-11 09:36:05下载
- 积分：1
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matlab
matlab程序，有关分岔图，主要是ode45(matlab procedures, the bifurcation diagram, mainly ode45)
- 2021-04-01 23:19:07下载
- 积分：1
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taarhwyb
使用起来非常方便，合成孔径雷达（SAR)目标成像仿真，有详细的注释，迭代自组织数据分析，仿真效率很高的，采用累计贡献率的方法，用于图像处理的独立分量分析。( Very convenient to use, Synthetic Aperture Radar (SAR) imaging simulation target, There are detailed notes, Iterative self-organizing data analysis, High simulation efficiency, The method of cumulative contribution rate Independent component analysis for image processing.)
- 2016-03-26 22:02:04下载
- 积分：1
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motionestimationalgorithms
this will be very useful doing motion estimation
so try this
- 2009-11-04 02:22:30下载
- 积分：1
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12
说明： ica faces for recognition
- 2010-03-28 00:31:04下载
- 积分：1
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matlab
聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分：1
