matlab_video_data

毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了TNIErq算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 KWMnxOx， 3 测试 4， 输出结果。 (Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining TNIErq algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 KWMnxOx , 3 test 4, the output result. )

这是来电显示FSK格式的的解码芯片EM92547的官方技术说明文档(This is the CND FSK format decoder chip EM92547 official technical documentation,)

implementation of fuzzy logic of vector control

Descriptor for simple shapes (e.g letters). Computes the descriptor twice in order to describe horizontally and vertically with the same accuracy. Input: image (2-D, binary or gray) depth of recursion (default 7), plotFlag(if on - plot Illustration) Output: vec - descriptor: Division locations, values around zero. Of length 2*(2^depth - 2) (levels: the depth of the division locations.)

这是一个画等温线的matlab程序，里面有txt介绍，有需要的人，可以下载学习。(This is a painting isotherms Matlab procedures, which have txt, those who need it, you can download to learn.)

利用KNN最近邻算法，对心音信号进行分割并判断，给出第一心音、第二心音和收缩期、舒张期。(Use KNN nearest neighbor algorithm, the heart sound signal is divided and judgment is given first, second heart sound and systolic, diastolic.)

Matlab能够通过sound函数来实现演奏歌曲，而且音调的高低是和频率有关，所以我们在进行音乐合成时需按音调来查所对应的频率，再按曲谱控制节奏长度，再利用sound函数播放由不同频率的正弦波合成的声音，于是就可以利用Matlab演奏歌曲了。(Music synthesis)

卡尔曼滤波在组合导航中应用仿真程序，适合初学者学习使用，采用惯导/GPS位置速度松组合(Kalman filter integrated navigation application simulation program, suitable for beginners to learn to use, using INS/GPS position, velocity loose combination)

主要介绍了新矩阵的创建，包括1）建立新矩阵；2）空矩阵；3）向量和子矩阵的生成；4）MATLAB中的特殊矩阵(Introduces a new matrix of creation, including 1) the establishment of a new matrix 2) empty matrix 3) vectors and matrices generated 4) MATLAB in the special matrix)

matlab基础入门以及基础应用。全英文版的文档。(matlab user s guide)