搜索资源列表
基于FIR神经网络的非线性盲信号分离
- 基于FIR神经网络的非线性盲信号分离-FIR based on the nonlinear neural network Blind Signal Separation
matlab.rar
- MATLAB 下的模式识别特征提取 用于对特征信号的提取,MATLAB under the feature extraction for pattern recognition features of the signal extraction
对白噪音信号进行基于小波变换尺度为n的分解
- 对白噪音信号进行基于小波变换尺度为n的分解
遗传算法源程序
- Vc++下如何利用Matlab工具箱进行数字信号处理-Vc++ How to use Matlab toolbox for digital signal processing
yang
- 该源代码是MATLAB程序,可直接使用,是信号处理中的模式识别算法,包括归一化,特征提取步骤。-pattern recognition
leida43
- 一般关于小波神经网络在雷达信号处理中应用的论文-Communieation and InformationSystems
AmixtureofexpertsnetworkstructureDopplersignals.ra
- 基于专家网络混合模型的多普勒信号处理方法。多普勒信号被广泛应用于人体各处血流状态估计中。该方法实现了信号的分类和模式识别。-the proposed method shows a way to process the doppler blood flow signals by a mixed expert network. it can recogenize and classify the different patterns of the blood flow.
ica
- 基于负熵的ICA算法,独立成分分析;负熵;盲信号分离;固定点-Negative entropy based ICA algorithm, independent component analysis negative entropy blind signal separation fixed point
singal
- 讨论研究了信号与信息处理的发展,对行业前景进行了展望,同时介绍了本行业的重要会议。-abcdefghijklmnopqrstuvwxyz
hao
- 调制识别全过程,包括信号特征值的提取,神经网络的训练,信号识别。非常好-the process of modulation recognition.it is very good for the study of modulation recognition
hao
- 基于BP神经网络的信号识别的算法设计研究-bp netrul network
BP神经网络的数据分类-语音特征信号分类
- 利用BP神经网络对样例中语音信号进行分类(The BP neural network is used to classify the speech signals in the sample)
ECG
- 对心电信号进行低通滤波去干扰,去除基线漂移。(The ECG signal is filtered to eliminate interference and baseline wander is removed.)
案例1 BP神经网络的数据分类-语音特征信号分类
- 利用BP神经网络的数据分类-——语音特征信号分类(Data classification using BP neural network -- Classification of speech feature signals)
案例1
- BP神经网络的数据分配,对语言特征信号进行分类。(The data distribution of the BP neural network is used to classify the language characteristic signals.)
Signal Progressing
- 自己练习的几个关于现代信号处理的小程序,包括维纳 卡尔曼等滤波器的算法。(Some of the small programs that you practice on modern signal processing, including the algorithms of Weiner Kalman and other filters.)
testandtrain
- 利用三层卷积神经网络识别信号星座图,准确识别8psk,16psk,32psk,64qpsk四种调制方式,在低信噪比的情况下已然有良好的识别率。(The three layer convolution neural network is used to identify signal constellation, and accurately identify four modulation modes of 8PSK, 16PSK, 32psk and 64qpsk. It has a good
BP神经网络的数据分类-语音特征信号分类
- BP神经网络的数据分类-语音特征信号分类(Data classification of BP neural network speech feature signal classification)
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)
未知雷达信号PRI的快速分选识别算法研究_王宇
- 信号分选 序列搜索 累积差直方图 序列差直方图 脉冲重复间隔变换(Cumulative difference histogram of signal sorting sequence search Sequence difference histogram Pulse repetition interval transform)