simulink-electrical-machine(2)

gravity turn for a moon landing program this source code simulate the landing of a moon tracker

癌细胞的识别，实现阈值分割，细胞核分割，膨胀与腐蚀，形态学分类识别(Identification of cancer cells to achieve threshold segmentation, nuclear division, expansion and corrosion, morphological classification)

funcion para determinar indices de desempe帽o

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)

厦门大学数值分析课件。基于matlab实现。(Courseware for Numerical Analysis of Xiamen University. Matlab-based implementation.)

说明：  模拟调制的MATLAB仿真，可以参考一下(MATLAB simulation of analog modulation, you can refer to)

ecualizacion del histograma

结构可靠度分析模型拟合样本点数目影响下的功能函数画图，分别采用ANN和SVM模型(Structural reliability analysis model fitting function drawing under the influence of the number of sample points, respectively, ANN and SVM models)

adaboost算法，采用十折分析法对参数进行优化，弱学习方法是BP神经网络(Ten fold methed on BP-adaboost)

说明：  matlab编程实现简单计算器 matlab编程实现简单计算器 matlab编程实现简单计算器 matlab编程实现简单计算器 (matlab matlab programming programming simple calculator Simple calculator Simple calculator matlab matlab programming simple calculator program)