parzen

本书实现了基于Matlab 与Excel 的实验数据自动处理，有助于完成自动化测试(Based on the book to achieve the automatic processing of the experimental data with Excel, Matlab, helps automate the testing)

matlab 6.1 sample file

说明：  matlab7.0 在科学计算中的应用，特别适合数学专业，信息专业学生学习使用。(matlab7.0 in scientific computing applications, particularly suitable for mathematics, students learn the use of information professionals.)

it is PCA-LDA matlab code. (feature reduction)

一级倒立摆的仿真……PID及模糊控制，需要的可看看(An inverted pendulum simulation ... ... PID and fuzzy control, need to look at)

Level Set Based Image Segmentation

应用小区域方差对比，程序简单，本程序的性能已经达到较高水平，阵列信号处理的高分辨率估计，现代信号处理中谱估计在matlab中的使用，主要是基于mtlab的程序，关于小波的matlab复合分析。( Application of small area variance comparison, simple procedures, The performance of the program has reached a high level, High-resolution array signal processing estimates, Modern signal processing used in the spectral estimation in matlab, Mainly based on the mtlab procedures, Matlab wavelet analysis on complex.)

摘 要：本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗（汉明窗）、端点检测；特征提取的参数是梅尔频率倒谱系数MFCC。 该语音系统采用的是动态时间伸缩算法(DTW)，研究对象是特定人的语音识别，并在MATLAB平台上实现。为了进行后续研究，首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件，并转化成 “.wav”格式的文件。(Abstract: This thesis mainly studied the basic principle of speech recognition, to analyze the composition of the speech recognition system, including the preprocessing, feature extraction, to set up the module library, identify several most matches. Pretreatment, including speech sampling, pre-emphasis, add window (hamming window), endpoint detection Feature extraction of MFCC MEL frequency cepstrum coefficient. The voice system USES a dynamic time scale (DTW) algorithm, the research object is the speaker-dependent speech recognition, and realized in MATLAB platform.To carry out the follow-up study, the first to use the recording in a computer system to record the audio files of Arabic Numbers 0-9, and translated into . Wav format file.)

MATLAB code to use MATLAB code with Arduino

matlab pID simulink 模块(matlab pID simulink module)