-
blind4qamvs
这是一个恒模算法和变长恒模算法收敛性比较的程序.(This is a constant modulus algorithm and variable-length constant modulus algorithm to compare the convergence process.)
- 2009-07-09 23:45:59下载
- 积分：1
-
optimal-beamforming
针对均匀线形阵列的阵列波束综合问题，并把这一问题描述成一个凸优化问题。针对更普适的情况。
(For array pattern synthesis problem, and describe it as a convex optimization problem.)
- 2013-12-16 19:34:52下载
- 积分：1
-
2004_5340
Estimating Attitude from Vector Observations Using a Genetic Algorithm-Embedded Quaternion Particle Filter
介绍了一种基于四元数粒子滤波的方法(Estimating Attitude from Vector Observations Using a Genetic Algorithm-Embedded Quaternion Particle Filter presents a quaternion-based particle filter method)
- 2007-12-20 11:11:20下载
- 积分：1
-
intelligent-control
刘金坤编写的智能控制一书中的程序代码，调试通过的！(Smart Liu Jinkun a book written control program code, debugging through!)
- 2013-11-27 09:31:12下载
- 积分：1
-
MIMO
上传一个多输入多输出的状态空间方程的预测控制程序，采样三输入双输出。仿真结果能得到期望的设定值.(Upload predictive control program a multi-input multi-output state space equations, three-input dual-output sampling. The simulation results can be obtained the desired setpoint.)
- 2020-12-16 11:09:13下载
- 积分：1
-
UP
说明： 从HFSS中提取S21，S11参数，获取相对磁导率和介电常数(Extraction S21, S11 parameters HFSS, gets relative permeability and permittivity)
- 2016-06-29 20:25:44下载
- 积分：1
-
simulink_pmsm
一直在芯片上编程，今天有空用matlab仿真了一个PMSM控制系统，采用了FOC控制算法，上传分享下！FOC,SVPWM可以借鉴。文件时MDL格式的(A matlab simulation using a PMSM control system, use the FOC control algorithm, FOC, SVPWM can be used for reference. MDL format file)
- 2014-09-17 20:27:23下载
- 积分：1
-
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
-
TestPrinter
TestPrinter implements TestRunner for Andriod.
- 2013-11-26 15:17:46下载
- 积分：1
-
kroki
another files with files and files
- 2012-01-12 01:14:44下载
- 积分：1
