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一种简单有效的基于动态时变语音识别源码
对于大多数研究者来说,寻找能够匹配二重时间序列信号的最佳途径是很重要的,因为它有许多重要的应用需求.DTW是实现这项工作的显著技术,尤其在语音识别技术领域,在这里一个测试信号被按照参照模板拉伸或压缩,
,Searching for the best path that matches two time-series signals is the main task for many researchers, because of its importa
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现有数字信号自动调制识别方法大多只适用于无记忆信号,如PSK、ASK、FSK信号等。将有记忆
信号(MSK信号)和无记忆信号一起考虑,提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统
计量作为特征参数,采用多层神经网络作为分类器。计算机仿真表明:当噪声采用高斯白噪声,并且信噪比大于
l5 dB时,识别率高于96% ;当信噪比不低于l0 dB时,识别率不低于90%。,Existing digital signal automatic modulation recognition
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过程信号的前馈-反馈型自适应盲分离算法:利用神经网络的自学习能力实现信号的盲分离已被证明是实现信号分离的一种有效方法,不同的神经网络模型对分离算法的效能将产生极大的影响
-The process of signal feedforward- feedback-based adaptive algorithm for blind source separation: Using neural networks to achieve self-learning ability of the bl
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matlab格式源代码。功能:小波神经网络算法及其在信号处理中的应用。-matlab source code format. Function: wavelet neural network algorithm and its application in signal processing applications.
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利用bp神经网络的方法来实现ecg信号st段的模式识别。-The use of bp neural network approach to the realization of ecg signal st paragraph of pattern recognition.
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从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的
分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分
量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混
合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the independence of the starting signal
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对采集到的电压信号进行小波包分解提取特征向量,再进行BP神经网络训练-On the acquisition of the voltage signal to the wavelet packet decomposition to extract feature vector and then BP neural network training
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elman神经网络用于峰值检测 三角波 矩形波 方波调制信号 -elman peak detector neural network for rectangular-wave square wave triangle wave modulation signal
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利用线性神经网络对某一正弦信号进行线性预测。利用函数newlind设计线性神经网络,
在已知正弦信号过去5个值得情况下,预测其将来值。
定义需要的信号,共持续5s,采样频率40Hz-Using linear neural network to a sinusoidal signal for linear prediction. Newlind design using a linear function of neural networks, known sinusoidal
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用小波神经网络变换对时间序列信号进行预测,并做了测试,效果很好,请参考-Transform using wavelet neural network to predict the time series signal, and do a test with good results, please refer to
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This paper proposes a fault location method employing wavelet fuzzy neural network to use post-fault transient and steady-state measurements.
When single line to ground fault (SLG) occurs in the distribution lines of an industrial system, the trans
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《MATLAB图形技术_绘图及图形用户接口》
MATLAB语言在数值计算,数据处理,自动控制,信号处理,神经网络,优化计算,模糊逻辑,小波分析,图像处理,统计分析等众多领域有着广泛的用途。-" MATLAB graphics _ graphics and graphical user interface" MATLAB language in the numerical calculation, data processing, automatic control, sig
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BP神经网络 数据分类 语音特征信号分类-BP neural network classification of data signal classification speech features
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This book gives an introduction to basic neural network architectures and learning rules. Emphasis is placed on the mathematical analysis of these networks, on methods of training them and on their application to practical engineering problems in suc
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Abstract-This paper introduces the new concept of Artificial
Neural Networks (ANNs) in estimating speed and
controlling the separately excited DC motor. The neural
control scheme consists of two parts. One is the neural
estimator, which is us
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BP神经网络的数据分类,语言特征信号分类。选取了民歌、古筝、摇滚和流行四类不同音乐,用BP神经网络实现有效分类。-BP neural network data classification, language characteristic signal classification. Selected folk songs, zither, four different types of rock and pop music, with BP neural network for effecti
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用matlab编写BP神经网络实现数据信号分类,本例为语音信号分类-BP neural network with matlab write data signal classification, classification of speech signal in this case
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认知无线电调制信号的神经网络识别方法,调制信号识别-modulation recognition of cognitive radio signal based on neural network
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BP神经网络的数据分类-语音特征信号分类-BP neural network classification of data- voice characteristic signal classification
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BP网络能学习和存贮大量的输入-输出模式映射关系,而无需事前揭示描述这种映射关系的数学方程,此代码能实现BP神经网络的数据分类-语音特征信号分类-BP network can learn and store a lot of input and output model mapping relations, without prior reveals describe the mapping relation mathematical equations, the code can realiz
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