matlab3-D

用MATLAB　实现一简单的数字（0--9）识别程序，非常好的源码。(Using MATLAB to achieve a simple number (0- 9) identification procedures, a very good source.)

This chapter treats the design of linear-phase FIR filters. The assignments are divided in two parts, the first part focuses on the design of FIR filters using the window design method while the second part focuses on design of equiripple FIR filters using the Parks-McClellan algorithm, i.e. the remez algorithm in Matlab.

some simulink mli simple

能够编译运行，改正了好多网上程序的错误，完整的肤色分割程序，下载者只要在D目录中加一张图片，就可以运行了(To compile and run, full color segmentation process)

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)

基于L阵列的一些二维DOA估计,其中一些算法与最新的文章有着直接对应关系(Based on L array of 2-d DOA estimation, some algorithm has direct correspondence with the latest article)

bpsk的调制与解调的过程，并采用卷积码，讨论其误码性能随着其功率、频偏、相偏而变化.(bpsk modulation and demodulation process and using convolutional codes, to discuss its error performance with its power, frequency offset, phase offset changes.)

说明：  这是一个用MATLAB来实现的差分算法 在MATLAB上模拟 挺有用的(using MATLAB to realize the difference algorithm in MATLAB simulation quite on the)

数值代数常用变换，内部含有Gauss，cholesterol，household，givens,QR分解等变换(Common transform numerical algebra, contains an internal Gauss, cholesterol, household, givens, QR decomposition transformation)

能够实现对三维点云数据的中值滤波、均值滤波、以及最小二乘滤波(Able to achieve a three-dimensional point cloud data, median filtering, mean filtering, and least squares filtering)