coif6Transform

本内容为，三维模型直接导入matlab中，可以方便的运行，可以更观的体现模型的真实性(This content is, three-dimensional model directly into matlab, you can easily run, you can view more manifestation of the authenticity of the model)

说明：  MATLAB CODE FOR DECODE AND FORWARD

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

关于MATLAB的编程和应用，及其在去除噪声中的应用，源程序的编写和修改(On MATLAB programming and applications, and its application in noise removal applications, the preparation and revision of the source code)

MATLAB实现自适应均衡器，对于运用MATLAB的通信专业的学生有用。(MATLAB adaptive equalizer, the use of MATLAB for communication majors useful.)

Brushless doubly fed reluctance generator

实现MB-OFDM UWB 中的Viterbi译码功能； 包括自己编写的viterbi译码模块和调用matlab内部viterbi译码模块的代码和调试代码； 内嵌了各种去打孔的代码，所有MB-OFDM中可能的形式； (MB-OFDM UWB realize the Viterbi decoding function including myself prepared viterbi decoding module and call the internal viterbi decoding module matlab code and debug code to punch all kinds of embedded code, all MB-OFDM in possible form )

已知语音文件求出其LPC系数后，调用a_lsf_conversion.m函数求其对应的LSF(Known find their voice files LPC coefficients, call a_lsf_conversion.m corresponding LSF function evaluation)

this code can help to analyze electrical flow system

人脸识别技术利用集成学习，adaboost算法学习代码(Face recognition, integrated learning, adaboost algorithm code)