test16qam

提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(Extraction based on instantaneous information signal of seven characteristics: zero center normalized instantaneous amplitude of the maximum power spectral density, zero-center normalized standard deviation of the instantaneous rate of absolute zero center section of non-weak signal instantaneous phase nonlinear component absolute value of standard deviation, non-zero center section of the weak signal non-linear component of the standard deviation of the instantaneous phase, zero-center non-normalized absolute value of the weak signal section of the standard deviation of the instantaneous frequency of a signal segment of the normalized power spectral density of instantaneous frequency maximum, according to the signal QPSK and 16QAM in the XI-axis projection of the different performance of the proposed characteristic parameters.)

Normalized LMS adaptive filtering algorithm.

常用IIR语音信号处理器v1.01,可变参数的四种滤波器，实现高通，低通，带通，带阻滤波。(IIR filter)

二维FDTD 实现电磁场的二维分析。源代码。可以为FDTD初学者提供便利(Two-dimensional FDTD to achieve two-dimensional electromagnetic field analysis. Source code. FDTD beginners can facilitate)

The given code finds the HOG feature vector for any given image. HOG feature vector/descriptor can then be used for detection of any particular object. (The given code finds the HOG feature vector for any given image. HOG feature vector/descriptor can then be used for detection of any particular object.)

波动率预测模型；期权定价；未来期权波动率预测(local volatility model (hestion calibration))

code source compression image using Haar wavelet By Arash Fattahi, Omid Aladini {r_ash,omid}@cs.sharif.edu To compress an image use this command in MATLAB: haar_compression(FILE_NAME,COMP_LEVEL,MOSAIC_SIZE) example: haar_compression( dancer.jpg ,50,3) //Haar mosaic size will be 2^3

blender script to make a object intersection

atken插值，利用插值可以实现曲线拟合，函数逼近，在轨道拟合，钟差拟合中都有很好的应用(ATKEN )

yinshiGPC model predictive control