GAcode

多维非线性辨识的MATLAB程序,已经试验过，可以正常运行(Identification of nonlinear multi-dimensional MATLAB program)

说明：  伺服系统仿真的MATLAB仿真以及结果，可清楚的看出与分析偏差(Servo system of the MATLAB simulation and the simulation results, and analysis shows a clear deviation)

说明：  一份详细的matlab手册，里面有关于matlab各个函数的详细介绍及例子(Matlab a detailed manual, which all function on matlab detailed introduction and examples)

(1) 读取n副连续有重叠部分的图像，在n副图像中检测SIFT特征，并用SIFT 特征描述子对其进行描述。 (2) 匹配相邻图像的特征点，并根据特征点向量消除误匹配。 (3) 使用RANSAC方法，确定变换参数。 (4) 图像融合 ((1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized using SIFT descriptors be described. (2) adjacent to the image feature point matching, and according to the feature vector to eliminate false matching points. (3) using RANSAC approach to determine the transformation parameters. (4) image fusion)

基于LMS的自适应滤波与维纳滤波的性能比较(Performance comparison of LMS-based adaptive filtering and Wiener filtering)

matlab中使用gauss函数逼近多项式函数(matlab gauss function approximation polynomial function)

matlab code for image compressive sensing. block compressive sensing is used.

说明：  微型光伏并网逆变器，具有MPPT功能，采用推挽式电路，以及全桥spwm逆变，额定功率300w(this model is a micrc PV integration model with MPPT function)

matlab语言实现的k-means算法，用于对数据对象进行分类。(matlab language of the k-means algorithm to classify the data objects.)

研究中我么采用分段的方法对数字音频信号嵌入水印。为便于研 究，以灰度图像为数字水印原始信号经二值化处理后得到水印再嵌入 音频信号的离散变换域中，从而得到嵌入水印的音频信号，其实现过 程原理框图如图1 所示。在水印嵌入的过程主要实现四个阶段的任 务：(1)数据准备与预处理，主要是准备好水印原始图片和待嵌入水印 的音频信号 (2)音频信号分段处理，用于嵌入水印的音频数据部分等 分成(m1*m2)个音频数据段 (3)水印图像降维处理，在此过程灰度图像 水印转化为二值图象, 要将其嵌入到一维的数字音频信号中, 必须将 二维的图像转化成一维的序列 (4)将水印嵌入到数字音频信号中,从而 最终获得带数字水印的音频信号。(The study I Mody, segmented digital audio signal embedded watermark. Discrete transform domain to facilitate the study of the grayscale image for the digital watermark the original signal is obtained after the binarization processing watermark embedded in the audio signal, thereby obtaining the watermark embedded in the audio signal, and its implementation process schematic block diagram shown in Figure 1. Mainly in the watermark embedding process to achieve the task of four phases: (1) The data preparation and pretreatment, is ready to watermark the original picture and to be embedded in the audio signal of the watermark (2) audio signal segment processing for embedding watermark The audio data portion is divided into (m1* m2) audio data segment (3) The watermark image dimension reduction processing, binary image is converted to grayscale image watermark in this process, and to be embedded into a digital audio signal of a one-dimensional , two-dimensional images must be converted in)