mohua

电子科技大学 研究生教材 谢处方老师 编写的 近代天线理论(uestc university graduate student course )

我以前主要做MTALAB图像处理工作，现在慢慢整理以前的代码，上述未简单的图像对数变换处理程序(I used to do MTALAB main image processing work, and now slowly finishing the previous code, these are not a simple logarithmic transformation of the image processing)

说明：  线性方程组的各种解法：求逆法、分解法、迭代法、特殊解法、非奇次线性方程组的解法(A variety of linear equations method: inverse method, decomposition method, iterative method, a special solution, non-singular at the solution of linear equations)

基于LMS和RLS的自适应滤波仿真与分析,内含详细说明(Based on LMS and RLS adaptive filtering simulation and analysis, containing detailed description of)

matlab simulink jianmo(matlab simulink jianmo)

本实验语音库为免费的柏林情感语音库，其采样频率为16KHZ，16bit量化。该语音库共有500 句情感语音信号，分别由十名专业演员(5 男，5 女)在不同情感状态下（高兴、愤怒、平静、悲伤、害怕、厌烦、憎恨）朗读十句不同文本的德语组成。本实验选取其中的部分情感（高兴、愤怒、悲伤）加以识别。仿真实验环境为MATLAB7.0。 实验选取的情感特征为短时平均能量、短时平均幅度、基频和短时过零率。为了降低不同人在表达不同情感时的个人差异造成的影响，本文实验过程中将提取的情感特征进行归一化处理。归一化采取将同一个人的三种情感语音信号的情感特征放在一起归一化处理，并将归一化后的情感特征作为KNN分类器的训练样本和测试样本。 该实验使用了传统的KNN算法和改进算法两种识别方式，通过实验结果对比了各自的特点。 (This experiment YuYinKu for free Berlin YuYinKu emotion, the sampling frequency for 16 KHZ, 16 bit quantification. The YuYinKu 500 words of emotional speech signal, respectively by ten professional actors (5 male, five female) in different emotional state (happy, anger, sadness, fear, calm, bored, hate) read ten sentences in different text of the German. This experiment selection of part of the emotions (joy, anger, sadness) is recognized. The simulation experiment environment for MATLAB7.0. The selection of emotional characteristics for short-term average energy, short-term average amplitude, frequency, and the short zero rate. In order to reduce the different people in different emotional expression of the impact of individual differences, the experiment process will extract emotional characteristics is normalized. The normalized will take the same three kind of emotional speech signal emotional features normalized put together, and after the normalized the emotional characteristics)

应用MATLAB编写的三维时域有限差分程序。是初学FDTD的好帮手。建议初学者参考。(Application of MATLAB to prepare three-dimensional finite difference time domain procedure. FDTD are learning a good helper. Recommended reference for beginners.)

中文的matlab使用说明，这对初学者来说是一个很好的资源，毕竟对英文的理解可能达不到那么深(the prduction of matlab)

该PPT介绍了MATLAB仿真中应用的MATLAB工具箱(the PPT on MATLAB application of MATLAB Toolbox)

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