ply_write

语音识别技术的最终目标是要让计算机能与人自由交谈。目前，连续语音识别技术正趋于成熟，语音识别也延伸出了诸多实用化的研究方向。今后，语音识别的重点将集中在自然话语识别与理解、实时语音识别和语音识别鲁棒性等方面。作为一门交叉学科，语音识别所涉及到的技术有信号处理、模式识别、概率论和信息论、发声机理、听觉机理和人工智能等。(The ultimate goal of speech recognition technology is to make computers and allowing others to speak freely. At present, continuous speech recognition technology is maturing, voice recognition is also extended out a lot of practical research directions. In the future, speech recognition will focus on Spontaneous Speech Recognition and Understanding, real-time speech recognition and speech recognition robustness and so on. As an interdisciplinary subject, speech recognition technology involved in a signal processing, pattern recognition, probability theory and information theory, vocal mechanism, hearing mechanism and artificial intelligence.)

说明：  离散信号处理举例，开发环境是MATLAB。(Discrete signal processing, for example, development environment is MATLAB.)

追赶法求解三对角矩阵，用matlab调试过，可以直接使用 (Catch tridiagonal matrix method)

扰动观察法实现MPPT的程序，可以加深对MPPT的理解(Perturbation and observation method of MPPT m program)

tis is two ray model using UWB

自适应画线，可用Matlab编程,也可用Mathematica软件编程(Adaptive draw lines available Matlab programming)

信号处理,进行信号检测与处理，通过设定threshold来进行信号检测的可信度调整(Credibility adjustment signal processing, signal detection and processing, by setting threshold for signal detection)

该代码是基于互信息的非均匀特征排序算法的MATLAB实现(The code is based on the mutual information of non-uniform features of MATLAB realization of sorting algorithms)

Modeling of PID for boost converter

主元分析（PCA）的Matlab源代码分析(source code of PCA runed on Matlab)