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adaptive
it s used for beamforming adaptively
- 2010-12-06 06:32:18下载
- 积分：1
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facts
matlab simulation on pswpm
- 2012-04-22 23:41:36下载
- 积分：1
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kalman
卡尔曼滤波，卡尔曼滤波在matlab中的应用，卡尔曼滤波卡尔曼滤波(Kalman filtering, Kalman filtering in matlab applications, Kalman filtering Kalman filtering)
- 2011-09-19 09:43:35下载
- 积分：1
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PSO
粒子群优化算法的源程序代码 经验证是可行的(Personal collection of a directed acyclic graph support vector machine for multi-classification problems)
- 2011-06-09 22:23:33下载
- 积分：1
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figure6
相控阵雷达的MIMO的仿真,对于雷达中的仿真(MIMO simulation of phased array radar, radar simulation)
- 2013-04-15 19:56:59下载
- 积分：1
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Segmentation
these operators can be used for segmentation
- 2010-01-11 03:15:30下载
- 积分：1
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yunchengxu
说明： 内附几十种小程序，有状态机、比较器、波形发生器、乘法器、加法器、步进电机控制器等，希望大家能用的上。(Containing dozens of small programs, for reference，This is about FPGA,a tool ,we can study,but in ourselves.)
- 2010-04-29 16:00:25下载
- 积分：1
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matlabguzhangshu
已知助力作动筒故障树以及各部件失效分布，试用故障树法进行仿真，计算系统可靠度，平均寿命和部件重要度(Known power actuator fault tree as well as the distribution of component failure, fault tree analysis to try to simulate the computing system reliability, the average life expectancy and components important degree)
- 2021-03-15 12:19:22下载
- 积分：1
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Relevance-Vector-Machine
说明： 相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。
它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method.
Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)
- 2021-03-23 21:20:53下载
- 积分：1
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firfilter
FIR滤波器设计程序，在MATLAB环境下实现FIR数字滤波器的设计(FIR filter design procedures, the MATLAB environment realize FIR digital filter design)
- 2009-02-06 08:50:16下载
- 积分：1
