搜索资源列表
HMM
- %函数名称:HMMTrain %参数:V-------训练观察序列(n X 1Cell矩阵),IPI,IA,IB-------模型参数初始值 %返回值:PI,A,B-------模型参数的学习结果 %函数功能:隐含马尔科夫模型的Baum-Welch学习算法(% function name: HMMTrain % parameters: V------- trains the observation sequence (n, X, 1Cell matrix), IPI, IA, and I
welch
- weltch窗函数滑动平均法,适合于初学信号处理的读者(Moving average of weltch window function.it is suitable for the readers who fistly learn the signal processing)
Buffet_6sin_random实例
- 一种加速度抖振信号的模拟方法,及用welch法分析其功率谱密度(a example of acceleration buffet simulation, and welch)
Welch_cov_burg
- MATLAB代码经典功率谱估计,Welch法、协方差法、周期图、burg法及其对比,附完整注释(MATLAB code, classical power spectrum estimation, Welch method, covariance method, periodogram, Burg method and their comparison, with complete annotation.)
几种常用功率谱估计法
- 几种常用的功率谱估计方法:相关函数法(BT 法),周期图法( periodogram),Bartlett 法,Welch 法,AR 功率谱曲线( p=50)(Several commonly used power spectrum estimation methods: correlation function method (BT method), periodogram method, Bartlett method, Welch method, AR power spectrum curv
HMM
- 离散HMM的matlab程序,包含有前向—后向算法、 Baum-Welch算法以及Vertebi算法(The matlab program of discrete HMM, including forward-backward algorithm, Baum-Welch algorithm and Vertebi algorithm)
HMM-homework
- 隐马尔科夫实现,包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)
OFDMSignalDetection-master
- 程序实现的主要功能: OFDM调制识别:研究了基于高阶累量和基于小波变换的OFDM信号和单载波调制信号的识别算法,仿真分析了两种算法在高斯信道和多径瑞利衰落信道下的信号识别性能。 OFDM参数估计:研究了基于Welch算法和AR模型法求解功率谱进而估计信号带宽的算法,对两种算法的估计性能进行了比较;根据OFDM信号的循环平稳性研究了基于循环谱的载频估计算法;根据 OFDM信号的自相关性研究了基于可变延时自相关和固定延时自相关的FFT相结合的算法,估计了OFDM信号的有效数据长度、符号