搜索资源列表
kalmanfilte221
- 语音合成与识别，适合非平稳信号,卡尔曼滤波用于语音增强算法，matlab,-speech synthesis and recognition, suitable for non-stationary signals, Kalman filtering algorithms for speech enhancement, Matlab,
Time_Frequency_toolbox
- 非平稳信号分析之时频分析工具箱，附加使用说明文档。Time-Frequency toolbox, with reference guide.
emddenoising
- 常见的EMD的方法的非平稳信号去噪的例子，完全正确，可以直接运行的程序-good example of emd
ssca_method
- 一种很好的针对非平稳信号的一种算法，他可以有效是区别各种调治方式，是对以前的时间平滑方法的一种改进形式，希望对大家有用-A good response to non-stationary signals in an algorithm, he can be an effective way to distinguish between the various modulating is a smoothing method before the time of an improved form,
emdtu
- 对用Matlab软件仿真的非平稳信号，进行经验模态分解，进而分析非平稳信号特征。-Simulation using Matlab software on a non-stationary signals, empirical mode decomposition, and then analyzes characteristics of non-stationary signal.
hilbert_pu
- 对仿真的非平稳信号进行Hilbert-Huang变换，分析信号的时频特征。-The simulation of non-stationary signals, Hilbert-Huang transform analysis of time-frequency characteristics.
WaveletTransform
- 时频分析方法是非平稳信号处理的一个重要分支，它是利用时间和频率的联合函数来表示非平稳信号，并对其进行分析和处理，利用时频分析法对语音信号进行去噪。-Non-stationary time-frequency analysis is an important branch of signal processing, it is the joint use of time and frequency functions to represent the non-stationary signal a
22
- 非平稳信号的一些处理函数，包括计算瞬时频率和群延迟及非平稳信号的生成。-Some non-stationary signal processing functions, including the calculation of the instantaneous frequency and group delay and non-stationary signal generation.
WVD
- 非常有用的非平稳信号分析工具箱，对非平稳信号参数估计很有帮助。-Useful non-stationary signal analysis toolbox, non-stationary signal parameters estimated helpful.
campbell
- 阶次分析的程序包，用于非平稳信号的特征提取。-Order Analysis package for non-stationary signal feature extraction.
tftoolbox
- 本书包含的实例所使用的源程序清单，文件夹第3章～第7章分别包括各章节内的实例源程序。2.源程序文件名与所在章节和实例序号对应，如：3_1.m为第三章实例一【例3_1】的源程序。3.文件夹tftoolbox为2002版的时频工具箱，第六章“非平稳信号分析与处理”需要用到该工具箱的部分函数。请将其拷贝到用户的MATLAB工作路径（如D:\R2006a\work） 4.各章节的M文件已在MATLAB R2006a环境下调试通过，拷贝到用户的MATLAB工作路径（如D:\R2006a\wo
plot_hht_3d
- 对于非平稳信号，用emd分解后，进行hibert变换后，输出时频三维图，-Output frequency of the three-dimensional map
hmm
- 隐马尔可夫过程是一个双重随机过程：一重用于描述非平稳信号的短时平稳段的统计特 征（信号的瞬态特征，可直接观测到）；另一重随机过程描述了每个短时平稳段是如何转变 到下一个短时平稳段，即短时统计特征的动态特性（隐含在观察序列中)-Hidden Markov process is a doubly stochastic process: a weight used to describe the non-stationary signal short plateau statistical S
Non-stationary-signal-analysis
- 非平稳信号分析与处理，对非平稳信号的处理进行了详细的论述-Non-stationary signal analysis and processing of non-stationary signal analysis and processing to give a detailed exposition
eemd
- EMD方法，可将非平稳信号降解为单频信号。用于分析其频谱特性。-EMD method, the non-stationary signal degradation for single-frequency signal. For the analysis of their spectral characteristics.
emd
- emd的MATLAB程序，可实现对非平稳信号的分析-emd MATLAB program algorithm can achieve the analysis of non-stationary signals
emd
- 针对一维非线性非平稳信号降噪的一种算法，EMD算法，这是其MATLAB代码。-An algorithm for one-dimensional nonlinear and non-stationary signal noise reduction, EMD algorithm, which is its MATLAB code.
EMDs
- 经验模态分解（Empirical Mode Decomposition,EMD）法是美国国家宇航局美籍华人黄锷（N. E. Huang）等人于1998年创造性地提出的一种新型自适应信号时频处理方法，特别适用于非线性非平稳信号的分析处理。-Empirical Mode Decomposition (Empirical Mode Decomposition, EMD) method is a new kind of video processing method adaptive signal NA
emd
- EMD能够自适应的处理非平稳信号，并将其分解为多个具有物理意义的平稳的固有模态函数（IMF）-Empirical Mode Decomposition (EMD), is proposed in this paper. First, the EMD is used to make the time series stationary. Then based on phase-space reconstruction theory, identify the chaotic characteris
MATLAB数字信号处理与应用源代码
- 包括经典滤波器设计，随机信号分析，非平稳信号处理等内容，代码很全面。(It includes classic filter design, random signal analysis, non-stationary signal processing and so on. The code is very comprehensive.)