matlab

了等距线阵方向图与傅立叶变换的一致性，用F丌算法进行阵列方向图快速计算。通过严格的数学推导，揭示变换序列与可见空问的关系，讨论了不同单元问距情况下的处理方法(In this paper，the consistence of equispaced linear array pattem and foureir transfom is analyzed，so the linear arrayy pattem can be computed rapidly with FFT a1goritllm．By the use of reUgious mathmatic deducing process，relation between transfotmation sequences and visible space are given，and different handling procedures are discussed in the case of different element spacing． )

双机器人协调路径规划，局部路径使用蚁群算法，全局路径使用粒子群算法(Double coordinate path planning and local path using ant colony algorithm, the global path using the particle swarm optimization)

一、 本程序采用16QAM调制方式，对一串2进制信源进行调制，用升余弦滚降函数进行基带调制，再调到高频信道；在信道上加入高斯白噪声，运用匹配滤波器解调，画出解调星座图，运用最小欧氏距离译码判决，计算误比特率。(First, this program uses 16QAM modulation mode, for a string of two binary source is modulated with a raised cosine roll-off function for base-band modulation, and then transferred to high-frequency channel in the channel by adding Gaussian white noise, the use of matched filter device demodulator, draw demodulation constellation, using the minimum Euclidean distance decoding decision, calculate bit error rate.)

这个程序代码用于提取眼底图像的血管，包括去噪、边缘检测(The program code for extracting a blood vessel image of the fundus, including denoising, edge detection)

SOMVIS软件学习材料，高纬网络及其可视化(SOMVIS software, learning materials, networks and visualization of high-latitude)

用一个矩阵去扫描另一个矩阵,可用在光学扫描中(To scan with a matrix to another matrix, can be used in optical scan)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

16 QAM source code simulation with matlab(16 QAM)

基于4G中802.16m系统的帧结构，通过运用发射分集技术提高其在瑞利信道中初始同步性能。(Based on 4G in the 802.16m system s frame structure, through enhances it using the launch diversity technology in the Rayleigh channel the initial synchronized performance. )

Genetic algorithm implementation