mutipath

我认为很不错的信号处理相关的matlab的源代码(In my opinion a very good signal processing related to the source code matlab)

求解约束优化，非线性最小二乘优化，线性优化，整数规划，二次规划等最优化问题(Solving constrained optimization, nonlinear least squares optimization, linear optimization, integer programming, quadratic programming and other optimization problems)

应用于衍射光学模拟，可以在物理光学教学中使学生能够获得感性认识，是非常重要的(Applied to diffraction optical simulation, can be in physical optics teaching so that the students can get perceptual knowledge, is very important )

说明：  这个源代码文件包含了一个非常生动的杨氏干涉的模拟过程，其显示的结果是一个动画形式的(the source document contains a very vivid Young's interference in the simulation process. its display is the result of a form of animation)

三维 电磁波 有限差分 本来用于计算三维GPR正演，还不是最终版，还在调试PML边界(3D FDTD)

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)

image segmentation using region based

详细讲解了KALMAN 滤波的理论和KALMAN 滤波应用背景,讲的很详细,适合教学!(Explained in detail the theory and KALMAN KALMAN filter filtering application background, speak in great detail, suitable for teaching!)

利用matlab实现遗传算法的求函数最大值最小值问题(Using genetic algorithm for matlab function to achieve maximum minimum problem)

matlab通信仿真psk误码分析，详细了解了其性能特点。(Matlab simulation psk communication error analysis, a detailed understanding of its characteristics.)