matlab_slowfeature

Smple code using Nvidia programs prunted in pdf file

详细的介绍了matlab与其他编程语言的结合的方法和使用(A detailed description of the matlab programming language combined with other methods and the use of)

使用程序实现mse函数的三维设计实现，可以表现出不同的最小均方误差的各种情况(MSE realize the use of procedures designed to achieve three-dimensional function, can be expressed in different MMSE various situations)

PID调节器，可以通过调节PID参数观察曲线变化(PID controller, you can adjust the PID parameters observed curve)

QPSK通信系统的Monte Carlo仿真，用于通信原理方面的编程和理解(Monte Carlo simulation QPSK communication system for communicating the principles of respect and understanding of programming)

本文利用文献〔1〕、〔2〕、〔3〕中关于指数分布的特征刻划与稳定性定理,得到了均匀分布,瑞利(Rayleigh)分布和威布尔(Weibull)分布的一些特征性质与稳定性结果(In this paper, literature 〔1〕 〔2〕 〔3〕 on Exponential Distribution and characterization and stability theorem, the uniform distribution, Rayleigh (Rayleigh) and Weibull (Weibull) distribution in the nature of some features Stability Results)

子空间拟合算法，空间谱估计算法的一种，适用于多维搜索，欢迎指正！(Subspace fitting algorithm, a spatial spectrum estimation algorithm for multi-dimensional search, please correct me!)

Matlab document consisting code of plotting the Mohr circles

绝对齐全的语音识别代码，包括hmm dtw和语音特征的提取部分，有详细的说明和讲解(Absolutely wonderful speech recognition code, including the HMM DTW and speech feature extraction part, a detailed description and explanation)

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.)