pitch_estimation

some code in mimo ofdm

在红绿蓝三个通道内对图像进行同态滤波，消除光照(Homomorphic filtering to eliminate the light in the three channels of RGB image)

Kalman filter very good

converter control pwm simuling

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)

可以得到很精确的幅值、频率、相位估计，是学习PCA特征提取的很好的学习资料，合成孔径雷达（SAR)目标成像仿真，有均匀线阵的CRB曲线，匹配追踪和正交匹配追踪，对信号进行频谱分析及滤波，模式识别中的bayes判别分析算法。 ( You can get a very accurate amplitude, frequency, phase estimation, Is a good learning materials to learn PCA feature extraction, Synthetic Aperture Radar (SAR) imaging simulation target, There ULA CRB curve, Matching Pursuit and orthogonal matching pursuit, The signal spectral analysis and filtering, Pattern Recognition bayes discriminant analysis algorithm. )

经典的三人过河问题，利用MATLAB求解，最后的出决策矩阵，由此安排过河方案！(The classic three-river issues, the use of MATLAB to solve, the last of a decision matrix, thereby arrange the program across the river!)

非线性规划的Matlab源码，包括很多测试函数。(Matlab source code for nonlinear programming, including many test functions.)

根据产生的BA无标度网路模型，计算其平均度分布，以观察模型性质(Produce the BA scale network model to calculate the average clustering coefficient, the nature of the observation model)

运用小波去噪的SCI的文章，有一些很好地算法可以借鉴和学习(Wavelet denoising SCI article, there are some good algorithms can learn from)