搜索资源列表
wav_featu
- 模式识别中,以小波分析为基础的信号能量特征提取方法,matlab源代码-pattern recognition to wavelet analysis of the signal energy feature extraction method, the source code Matlab
sta12_1
- 基于MATLAB的主元分析,可用于信号特征提取及模式识别-the main element analysis, signal can be used for feature extraction and pattern recognition
xiaobojinzhan
- 小波变换理论应用进展,小波变换与人工智能的结合,它已被应用于信号语音处理 电子对抗 模式识别 图像处理等 -wavelet transform theories in progress, wavelet transform with a combination of artificial intelligence, It has been used in voice signal processing electronic countermeasures, such as image pro
312B89F0
- 一种有意义的图像水印算法王振武 ,刘九芬 一,黄达人(1.中山大学计算机科学系,广东广州5102752.中国科学院自动化所模式识别国家重点实验室,北京1000803.中山大学科学计算与计算机应用系,广东广州510275)摘 要:提出了一个基于小波变换的有意义图像水印算法。该算法在512×512×8 bits图像上嵌入了一个536bits的有意义字符串,水印检测时不需要原始图像,并借助于模板、登记图像的大小、纠错编码和二维交织技术,水印不但可以对抗一般的信号处理,还可以抵抗缩放、改变长宽比、伴随着
11
- 本文介绍了医学信号分析的常用方法,着重介绍了神经网络模式识别,包括他的优点及不足,最后介绍了神经网络的模型选择。-medical signal analysis methods commonly used to highlight the neural network pattern recognition, including his strengths and weaknesses, and the final presentation to the neural network model
sqrs
- 是ECG心电检波的模式识别算法,主要输出QRS点的序列描述。是标准心电信号处理单元。
asr
- 语音识别技术: 语音识别以语音为研究对象,它是语音信号处理的一个重要研究方向,是模式识别的一个分支,涉及到生理学、心理学、语言学、计算机科学以及信号处理等诸多领域
PronyToolbox
- prony信号处理识别低频振荡模式提取特征根阻尼比
20080804104829
- 中科2008年博士真题,有数学英语自控原理模式识别数字信号处理等。
FastICAmatlabtoolbox.rar
- FastICA的matlat软件包,独立分量分析(ICA)在模式识别(如人脸识别),信号分离等领域有着广泛的应用。 ,The FastICA package for MATLAB The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit.
xbnlp
- 小波包能量谱的计算,对信号进行频段分析,特征提取,用于模式识别-wavelet packet energy spectrum
SVM_toolbox01
- 支持向量机作为统计学习理论的实现方法,能很好地解决非线性和高维数问题,克服了神经网络方法收敛慢、解不稳定、推广性差的缺点,近年来得到了广泛地研究,在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。-Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension pro
Tank
- LMBP算法的罐底腐蚀声发射信号模式识别Tank bottom corrosion LMBP algorithm pattern recognition of acoustic emission signals-Tank bottom corrosion LMBP algorithm pattern recognition of acoustic emission signals
py
- BP神经网络用与实现不同故障的分类,对复杂信号模式识别是一种很有效的方法。-BP neural network with the classification of different faults and implementation of complex signal pattern recognition is a very effective method.
M_Unitary_esprit
- 酉—esprit信号模式识别算法,可有效辨识信号阶数以及各阶频率、衰减因数、相角、幅值几个参数-Unitary-esprit signal pattern recognition algorithm can effectively identify the signal as well as the rank order of frequency, attenuation factor, phase angle and amplitude of several parameters
demodulationclassification
- 信号调制识别程序,可以在菜单里选择输入的信号类型,经识别后显示。(The signal modulation recognition program can select the type of input signal in the menu and display it after recognition.)
CNN code
- 处理一维振动信号,用于故障分类,模式识别(1D CNN for fault classification)
gdcji
- 用于信号特征提取、信号消噪,模式识别中的bayes判别分析算法,连续相位调制信号(CPM)产生。( For feature extraction, signal de-noising, Pattern Recognition bayes discriminant analysis algorithm, Continuous phase modulation signal (CPM) to produce.)
high_cumulation_2
- 实现高阶累积量算法,并通过该算法实现BPSK\QPSK\8PSK\16QAM四种调制模式(Four modulation modes of BPSK QPSK PSK QAM are realized by using the high order cumulant algorithm.)
04825210PCA1
- 对碰撞信号特征进行降维和聚类分析,提高分类精度(Reducing dimension and clustering analysis of collision signal features to improve classification accuracy)