basicieeecoop

Matlab环境下基于OPC技术实现动态矩阵控制 Matlab环境下基于OPC技术实现动态矩阵控制(Matlab environment based on OPC technology to achieve dynamic matrix control Matlab environment OPC technology based on Dynamic Matrix Control)

code ami No return zero whit five inputs

The class for working with configurations of settings and INI-files

说明：  用于模型刚度和质量矩阵的提取，matlab程序(Used for model stiffness and mass matrix extraction, MATLAB program)

说明：  HART协议的均衡器设计 DCT LMS 设计 + 位同步设计，仿真证明了设计的有效性(HART protocol design DCT LMS equalizer design+ Bit synchronous design, simulation proves the validity of the design)

说明：  应用于各种雾天条件下对图像进行雾去除，可以得到清晰无雾的效果图，是一个不错的图像恢复工具(a method of haze removal,we can gain a haze-free image)

利用Contourlet、ICA、混沌粒子群分离去噪(Using Contourlet, ICA, separation of chaotic particle swarm denoising)

MFCC参数和LPCC参数需要频繁使用的语音的说话人识别分析还需要使用大量的这些特征参数,这就需要研究MFCC和LPCC算法和参数提取的原则。因为我们需要了解与人交谈的过程中,我们要进行建模 率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(MFCC parameters and LPCC parameters are parameters of speaker recognition which requires frequent use of voice analysis also need to use a lot of these characteristic parameters, This requires research MFCC and LPCC algorithm and the principle of parameter extraction. Because we need to understand the process of talking to people, we want to conduct a speaker modeling the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula)

自己写的一个关于非零频的LFM信号的产生，及下混频到零频的代码，有详细的注释(A non-zero frequency LFM signal generation, and under the mixer to the zero-frequency code, with detailed comments)

MATLAB program which performs the zigzag operation in a matrix.