GMM 说话人识别

matlab在最优中的应用,是非常好的书哦，对于研究最优化应用的人很有用(use matlab to solve optimization problem)

A simple Genetic Algorithm Code with settings

说明：  钢琴曲子中的单音的识别方法（及该方法的计算过程(Piano music in the tone of the identification method (and the method of calculation)

D-S证据理论的MATLAB代码函数文件 根据D-S理论，可以进行模式分类，消除不确定性。并附有能量检测的D-S判断函数文件、自己论文里的代码，希望对你有用(Code function file of D-S evidence theory in MATLAB. it can accomplish mode classification and eliminate uncertainty. besides that it includes that D-S operation in energy detection technology function file. this file has been used in my thesis, holp it can help you.)

matlab宝典，包括了最简单最实用的实例，帮助新手学习(help greener study matlab easily)

双馈电机仿真模型，很详细，作为初学者非常适合(DFIG simulation model, not much wind, we hope more exchanges)

频率估计 1）产生一个单频实信号，加上一定信噪比的噪声。 2）对含噪声的信号进行频率估计。估计方法可以查阅相关文献。 3）统计估计出来的频率和真实频率之间的误差。 4）验证该频率估计算法在不同信噪比、不同数据长度下、不同频率时候的性能。 (Frequency estimation 1) produce a single-frequency real signal, plus a certain SNR noise. 2) noisy signal frequency estimates. Estimation method can access relevant literature. 3) out of the statistical estimation and frequency error between the true frequency. 4) Verify that the frequency estimation algorithm under different SNR, different data length, when the frequency of different properties.)

BP神经网络进行数据分类，是一种多层前馈神经网络，该网络的主要特点是信号前向传递，误差反向传播。运用梯度下降法，(BP neural network is a multi-layer feedforward neural network for data classification. Its main characteristics are forward signal transmission and back error propagation. Using gradient descent method and BP neural network to classify data is a multi-layer feedforward neural network. The main characteristics of this network are forward signal transmission and back error propagation. Using gradient descent method,)

有关OFDM的建模仿真 MATLAB模型图 星座图()

GeoPhysics at the University of Alberta 提供的一个基于Matlab的地震处理软件(GeoPhysics at the University of Alberta provided a Matlab-based seismic processing software)