di10zhang-

matlab，Mathimatics-Numerical algorithms

一个用MFC写的滤波器源代码，代码结构非常精巧，可以参考 功能：1 固定带通滤波 2 可变带通滤波 3 噪声删除 4 输入输出误差计算 实现比较简单，由于使用了Microsoft Foundation classes，代码流程很简单，但是实现的功能比较充分 Filter.h：头文件，定义了CFilterApp 类 Filter.cpp：利用MFC的函数实现了CFilterApp Filter.rc：资源文件，包括对话框和图标的说明(use a filter to write MFC source code, code structure is very delicate, can be functional : a fixed band-pass filtering two variable bandpass filter to delete four 3 noise input and output error calculation is relatively simple to achieve. As the use of Microsoft Foundation classes, code process is simple, but to achieve the more fully functional Filter.h : The first document, CFilterApp definition of the category Filter.cpp : MFC function realized CFilterApp Filter.rc : resource files, including dialog box and the note icon)

PCA,LDA,ICA等的matlat源程序，比较全， 希望对大家有所帮助！(PCA, LDA, the ICA matlat source, the entire comparison, we hope to help!)

DCT域音频水印算法代码，用于音频媒体版权的保护(Audio Watermarking Algorithm for DCT-domain code)

程序利用快速傅立叶变换及逆变换模拟了脉冲在光纤中传输时三阶色散对脉冲形状的影响。(A procedures using fast Fourier transform and inverse transform simulation of the pulse in fiber transmission third-order dispersion on the shape of the pulse the impact)

OFDM的调制代码，对于OFDM的调制可以加深理解(OFDM modulation code, for better understanding of OFDM modulation can be)

电机在无阻尼状态下运行中的故障仿真，matlab下的实现(State in the absence of damping the motor running in the fault simulation, matlab under implementation)

4.面阵中二维角度估计 Unitary -ESPRIT算法MATLAB程序(4 planar array of two-dimensional angle estimation Unitary-ESPRIT algorithm MATLAB program)

随机森林算法在图像特征分类回归中的应用，通过结合神经网络进行更好的特征数据处理(Application of random forest algorithm in image classification and regression, better features by combining neural networks data processing)

通过给出的随机过程，该随机过程是由3个实正弦信号组成，归一化频率分别为0.1,0.25,0.27，其中相位是相互独立在【0,2*pi】上分布的随机相位；噪声是均值为0、方差为1的实高斯白噪声，信噪比为30db,30db,27db,观测样本数为N，通过bartlett法，Welch法，周期图法计算随机过程的概率谱(Given by stochastic process, the stochastic process is composed of three real sine signal, the normalized frequency were 0.1, 0.25, 0.27, including phase is independent in [0, 2* PI] on the distribution of random phase Noise variance is the mean to 0, 1 real gaussian white noise, signal to noise ratio of 30 db, 30 db, db, and the observation sample for N, by bartlett, Welch, periodogram spectrum method to calculate the probability of the random process)