adaptive_track_enginesam

配合上传的C8051程序，通过串口接收心音数据，并通过图形显示。串口接收数据为中断方式。(With the upload process of C8051F020, through the serial port to receive heart sound data, and useing graphics to display.Received through the serial port interrupt.)

运用matlab实现贝叶斯决策面的算法，帮助你快速学习贝叶斯算法(Bayesian decision algorithm using matlab face, to help you quickly learn Bayesian algorithm)

采用FDTD方法计算一维空间下，考虑碰撞的等离子体中的电磁场的分布情况(Using the FDTD method for calculating one-dimensional space, the distribution of plasma collision consider electromagnetic fields)

改程序是由于降低papr的包括信道的产生，接收机的设计以及图形的打印(PAPR)

龚耀寰自己的《自适应滤波》课件，比较经典的。包括lms、rls等经典内容，以及空域自适应滤波等。(GONG Yao-huan own " adaptive filtering" software to compare the classic. Including lms, rls, such as classical, as well as the airspace, such as adaptive filtering.)

Model Predictive Control Toolbox

简单的介绍什么是深度学习、深度学习的应用场景等基础知识，帮助我们快速入门该领域(Briefly introduce what is the basic knowledge of deep learning, deep learning application scenarios, and help us quickly get started in this field.)

spvwm模块,matlab/simulink环境中搭建，经测试模型正确。(the module of svpwm,Matlab environment to build)

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 )

本人收集的关于多径衰落、瑞利，RICE信道、QPSK等仿真程序，经过本人测试，全部可用，并附上测试结果及仿真图.(I collected on the multipath fading, Rayleigh, RICE channel, QPSK simulation program, etc., after I test, all available, along with test results and simulation of Fig.)