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matlab环境下实现对手写体数字的分类识别(Handwritten Arabia digital numeral recognition)

对对角加载算法进行了分析,基于 RCB算法提出了一种可以抑制运动干扰的稳健波束形成器。可根据干扰位置的统计模型进行零陷扩宽,从而有效的抑制运动干扰。(An implementation algorithm of Robust Capon Beamforming is presented. This algorithm is advanced and widely used in the field of signal processing and communication.)

matlab遗传算法工具箱，解决TSP旅行商问题，很好用的代码。(Matlab toolbox genetic algorithm to solve TSP traveling salesman problem, easy to use code.)

实现提取车牌的车牌边框去除，效果较好，可以一试。(Achieve extraction of the license plate frame license plate removed, is better.)

cvpr2013人脸识别代码，鲁棒性很好，是学习的好资料(cvpr2013 face recognition code, robustness is very good, is good information to learn)

MATLAB中的各种随机信号分析函数的编程，自相关函数以及功率谱密度的绘制(MATLAB programming in a variety of random signal analysis functions, drawing autocorrelation function and power spectral density)

编写程序完成不同滤波器的图像频域降噪和边缘增强的算法并进行比较，得出结论,效果很好，多种方法工你选择，文档中包含图片( Image Frequency noise reduction and edge enhancement algorithms to program completion and compare different filters, concluded that the effect is very good, work a variety of methods to choose from, the document contains a picture)

使用Matlab编程实现发送端信源编码（图像压缩）和接收端信源解码（图像重建），其中的编解码算法可采用基于DCT变换的JPEG图像压缩标准；测试图像加噪，然后对去噪后的图像进行压缩与重建，分析压缩性能；研究基于下采样和内插的图像压缩算法；可将8bit/pixel灰度图像扩展至24bit/pixel彩色图像，或者采用无损压缩算法对图像压缩。(Sender using the Matlab programming source coding (image compression) and the receiver source decoding (image reconstruction), one of the decoding algorithm can be used DCT-based JPEG image compression standard test image with noise, then the denoised image compression and reconstruction, compression performance analysis of down-sampling and interpolation based on image compression algorithm 8bit/pixel grayscale images can be extended to 24bit/pixel color images, or the use of lossless compression algorithms for image compression. )

说明：  抛物线法求解 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定. (parabolic equation method Construction Methods : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)

关于ALHOA matlab仿真 希望能帮助大家。有图标和具体的方法。(About ALHOA matlab simulation we hope to help. Logos and specific method.)