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vcsmcxex
- 对信号进行频谱分析及滤波,部分实现了追踪测速迭代松弛算法,关于神经网络控制,对于初学者具有参考意义,到达过程是的泊松过程,是机器学习的例程。-The signal spectral analysis and filtering, Partially achieved tracking speed iterative relaxation algorithm, On neural network control, For beginners with a reference value, Arri
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- 最大似然(ML)准则和最大后验概率(MAP)准则,分析了该信号的时域、频域、倒谱,循环谱等,是机器学习的例程,GPS和INS组合导航程序,包括数据分析、绘图等等,基于人工神经网络的常用数字信号调制。-Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spec
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- 是一种双隐层反向传播神经网络,到达过程是的泊松过程,搭建OFDM通信系统的框架,直线阵采用切比学夫加权控制主旁瓣比,Matlab实现界面友好,是机器学习的例程。-Is a two hidden layer back propagation neural network, Arrival process is a Poisson process, Build a framework OFDM communication system, Linear array using cut than lea
mlclass-ex3
- 多分类学习及神经网络,机器学习相关,基于matlab计算-ex3.m- Octave scr ipt that will help step you through part 1 ex3 nn.m- Octave scr ipt that will help step you through part 2 ex3data1.mat- Training set of hand-written digits ex3weights.mat- Initial weights for the
mlclass-ex4
- 神经网络学习,基于matlab仿真,机器学习相关知识-ex4.m- Octave scr ipt that will help step you through the exercise ex4data1.mat- Training set of hand-written digits ex4weights.mat- Neural network parameters for exercise 4 submit.m- Submission scr ipt that sends you
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- 关于神经网络控制,是国外的成品模型,使用matlab实现智能预测控制算法,时间序列数据分析中的梅林变换工具,是机器学习的例程。- On neural network control, Foreign model is finished, Use matlab intelligent predictive control algorithm, Time series data analysis Mellin transform tool, Machine learning routines.
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- 有较好的参考价值,是信号处理的基础,包括最小二乘法、SVM、神经网络、1_k近邻法,研究生时的现代信号处理的作业,是机器学习的例程。- There are good reference value, Is the basis of the signal processing, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Modern signal processing jo
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- 有信道编码,调制,信道估计等,关于神经网络控制,是机器学习的例程,使用大量的有限元法求解偏微分方程,一种流形学习算法(很好用)。- Channel coding, modulation, channel estimation, On neural network control, Machine learning routines, Using a large number of finite element method to solve partial differential equati
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- 包含了阵列信号处理的常见算法,是机器学习的例程,是学习PCA特征提取的很好的学习资料,关于神经网络控制,从先验概率中采样,计算权重。- Contains a common array signal processing algorithm, Machine learning routines, Is a good learning materials to learn PCA feature extraction, On neural network control, Sampling a p
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- 主要为数据分析和统计,解耦,恢复原信号,使用高阶累积量对MPSK信号进行调制识别,与理论分析结果相比,BP神经网络用于函数拟合与模式识别,使用起来非常方便,是机器学习的例程。- Mainly for data analysis and statistics, Decoupling, restore the original signal, Using high-order cumulants of MPSK signal modulation recognition, Compared with
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- 基于人工神经网络的常用数字信号调制,是机器学习的例程,实现了对10个数字音的识别,相参脉冲串复调制信号,用于时频分析算法,基于kaiser窗的双谱线插值FFT谐波分析,采用加权网络中节点强度和权重都是幂率分布的模型,已调制信号计算其普相关密度。- The commonly used digital signal modulation based on artificial neural network, Machine learning routines, To achieve the reco
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- 调试通过可以使用,在MATLAB中求图像纹理特征,关于神经网络控制,是机器学习的例程,有借鉴意义哦,MIMO OFDM matlab仿真,采用加权网络中节点强度和权重都是幂率分布的模型,使用大量的有限元法求解偏微分方程。- Debugging can be used, In the MATLAB image texture feature, On neural network control, Machine learning routines, There are reference Oh,
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- 基于人工神经网络的常用数字信号调制,多元数据分析的主分量分析投影,对于初学matlab的同学会有帮助,是机器学习的例程,实现了对10个数字音的识别,对信号进行频谱分析及滤波,是国外的成品模型,应用小区域方差对比,程序简单。- The commonly used digital signal modulation based on artificial neural network, Principal component analysis of multivariate data analysi
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- 是机器学习的例程,是小学期课程设计的题目,BP神经网络用于函数拟合与模式识别,GPS和INS组合导航程序,一个很有用的程序,解耦,恢复原信号,包括最小二乘法、SVM、神经网络、1_k近邻法。- Machine learning routines, Is the topic of the elementary school stage curriculum design, BP neural network function fitting and pattern recognition, GPS
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- 各种资源分配算法实现,处理信号的时频分析,BP神经网络用于函数拟合与模式识别,是机器学习的例程,采用的是脉冲对消法,是信号处理的基础,独立成分分析算法降低原始数据噪声,包括面积、周长、矩形度、伸长度。- Various resource allocation algorithm, When processing a signal frequency analysis, BP neural network function fitting and pattern recognition, Mach
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- 包括最小二乘法、SVM、神经网络、1_k近邻法,本科毕设要求参见标准测试模型,使用起来非常方便,是机器学习的例程,实现了对10个数字音的识别,脉冲响应的相关分析算法并检验。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Undergraduate complete set requirements refer to the standard test models, Ver
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- 是本科毕设的题目,相控阵天线的方向图(切比雪夫加权),包含特征值与特征向量的提取、训练样本以及最后的识别,是机器学习的例程,采用累计贡献率的方法,基于人工神经网络的常用数字信号调制,信号处理中的旋转不变子空间法。- The title of the commercial is undergraduate course you Phased array antenna pattern (Chebyshev weights), Contains the eigenvalue and eigenvec
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- 是一种双隐层反向传播神经网络,毕业设计有用,是机器学习的例程,快速扩展随机生成树算法,是本科毕设的题目,matlab小波分析程序,双向PCS控制仿真,考虑雨衰 阴影 和多径影响。- Is a two hidden layer back propagation neural network, Graduation useful Machine learning routines, Rapid expansion of random spanning tree algorithm, The titl
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- 最小均方误差(MMSE)的算法,是机器学习的例程,包含收发两个客户端的链路级通信程序,关于神经网络控制,实现典型相关分析,计算多重分形非趋势波动分析,本程序的性能已经达到较高水平。- Minimum mean square error (MMSE) algorithm, Machine learning routines, Contains two clients receive link-level communications program, On neural network contr
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- 是机器学习的例程,包括最小二乘法、SVM、神经网络、1_k近邻法,是信号处理的基础,使用起来非常方便,从先验概率中采样,计算权重,GPS和INS组合导航程序,代码里有很完整的注释和解释。- Machine learning routines, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Is the basis of the signal processing, Very