voice-peak

说明：  计算方法的上机编程题计算方法的上机编程题计算方法的上机编程题(Calculation method of calculation on the machine programming problem programming question-on method of calculation-on program title)

在MIT的meep中，用来计算银表面的折射率和吸收率。用于FDTD算法。(Meep at MIT, the silver surface used to calculate the refractive index and absorption rate. For the FDTD algorithm.)

此程序包含心音信号的低通滤波、小波去噪、EMD分解、希尔伯特黄变换以及心音阈值定位一系列算法。输入为采集到的单通道心音信号。入口程序为main.m (A program that process heart sound signals to separete each heart sound clearly.Functions like Low-pass filters and Hilbert transformers are involed.)

it is a full project report on Performance Analysis of Spatial Channel Model in fast fading

内容：运用PM算法识别空间目标。程序中附有注释，可改变方向角，运算速度比music算法快，本人毕设程序，绝对可用。(Content: The use of PM space target recognition algorithm. Annotated program, you can change the direction of the angle calculation algorithm is faster than the music, I set up the program, absolutely free.)

说明：  已知三个信号 ，经调制产生信号 ，其中 为常数， 为具有窄带特性的Hanning信号。将此已调信号通过信道传输，描述该信道的差分方程为 得到接收信号 1）分析Hanning信号 的时域与频域特性 2）分析已调信号 的时域与频域特性 3）分析系统的单位脉冲响应 4）分析接收信号 的频谱 (Three known signal, the modulated signal is generated, which is a constant for the Hanning signal having a narrowband characteristics. This modulated signal channels transmitted through the differential equation of the channel 2) units of analysis of the modulated signal and frequency domain characteristics 3) analysis system is described for obtaining a reception signal 1) Analysis of time domain and frequency domain characteristics Hanning signal 4 impulse response) spectral analysis of the received signal)

本人所编写的关于Matlab的分离pid算法的相应程序代码(I have written about the separation of Matlab code corresponding pid algorithm)

用改进的Huber函数，修改了现有的递归最小二乘（RLS）算法的误差函数(With the improvement of Huber function, modified existing recursive least squares (RLS) algorithm of error function)

潮流，牛顿潮流，主要应用于电力系统中。最基本的算法(Newton trend trend, mainly used in power system.The most basic algorithm)

该书籍介绍了很好的统计学习方法，能为机器学习和数据挖掘的爱好者提供很好的理论依据。(The book describes the good statistical learning method that can provide a good theoretical basis for machine learning and data mining enthusiasts.)