FTVd_v4.0

说明：  非常简练的小波网络演示文件，对理解和编写小波网络很有帮助(A source code of demo file for wavelet neural network )

Simulink通信系统建模一书中的蓝牙调频通信系统仿真MATLAB源程序，包括word文档介绍，是非常好的通信系统仿真的学习参考资料(The book Communication Systems Simulink model Bluetooth FM communication system simulation MATLAB source code, including word document describes, is a very good communication system simulation study reference)

a sample for MT4 connect matlab

说明：  MUSIC算法 DOA（Direction Of Arrival）波达方向定位技术主要有ARMA谱分析、最大似然法、熵谱分析法和特征分解法，特征分解法主要有MUSIC算法、ESPRIT算法WSF算法等。 MUSIC (Multiple Signal Classification)算法，即多信号分类算法，由Schmidt等人于1979年提出。MUSIC算法是一种基于子空间分解的算法，它利用信号子空间和噪声子空间的正交性，构建空间谱函数，通过谱峰搜索，估计信号的参数。对于声源定位来说，需要估计信号的DOA。MUSIC算法对DOA的估计有很高的分辨率，且对麦克风阵列的形状没有特殊要求，因此应用十分广泛。(DOA (direction of arrival) positioning technology mainly includes spectrum analysis, maximum likelihood method, entropy spectrum analysis method and feature decomposition method. The feature decomposition method mainly includes music algorithm, ESPRIT algorithm, algorithm, etc. Music (multiple signal classification) algorithm, namely multi signal classification algorithm, was proposed by Schmidt In 1979. MUSIC algorithm is an algorithm based on subspace decomposition. It uses the orthogonality of signal subspace and noise subspace to construct spatial spectrum function, and estimates signal parameters through spectrum peak search. For sound source localization, DOA of signal needs to be estimated. MUSIC algorithm has high resolution for DOA estimation, and has no special requirements for the shape of microphone array, so it is widely used.)

系统实时仿真开发环境与应用,主要讲解matlab RTW技术分上下两部分。(Real-time simulation development environment and application, mainly on matlab RTW technology was divided into two parts.)

灰色神经网络的预测算法，订单需求预测，matlab的经典算法(Gray neural network prediction algorithm, order demand forecasting, matlab classical algorithm)

基于matlab语音分析的分帧函数，可以实现对语音信号清音 浊音的分帧分析(Matlab speech analysis based on the sub-frame function, can realize the voiceless voiced speech signal analysis of the sub-frame)

说明：  遗传算法优化的极限学习机模型 采用水仙花基本特征数据集 效果比单纯的ELM模型要好(The effect of using daffodils basic feature data set in the extreme learning machine model optimized by genetic algorithm is better than that of ELM model only.)

基于fht的匹配追踪算法，算法速度要比fft快很多，提高了一个数量级(Fht based matching pursuit algorithm, the algorithm much faster speed than fft, an order of magnitude increase)

matlab code for pitch of speech signal