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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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内含用神经网络进行信号处理的两个实例，采用MATLAB编写。-Intron with neural network signal processing of two examples of using MATLAB to prepare.
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基于matlab的新型信号处理算法集。包括模拟退火、遗传算法、反向传播神经网络、小波变换等等，对于统计信号处理很有参考价值。-Matlab based on a new type of signal processing algorithms. Including simulated annealing, genetic algorithm, back-propagation neural network, wavelet transform, etc., for statistical sig
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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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《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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利用径向基函数神经网络，完成ECG信号的非线性拟合，进而提取出胎儿心电信号-Radial basis function neural network to complete the non-linear fitting of the ECG signal, and then extract the fetal ECG
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神经网络
BP神经网络的数据分类-语音特征信号分类k -Data classification neural network BP neural network- voice feature signal classification k
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基于BP神经网络的语音特征信号奋力算法建模，分为神经网络的构建，训练和分类-Based speech characteristic signal BP neural network algorithm modeling struggling, into neural network construction, training and classification
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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 data classification- voice feature signal classification
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，自适应神经网络噪声抵消系统不需要关于输入信号的先验知识，非线性映射能力强，具有自学习能力、计算量小和实时性好等特点，利用该系统对含噪声的非线性信号建模，可达到消除噪声的目的。-The adaptive neural network noise canceling system does not need prior knowledge about the input signal, strong nonlinear mapping ability, self-learning ability,
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