fds60

genetic algorithm (or GA) is a search technique used in computing to find true or approximate solutions to optimization and search problems for function of 2 variable

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)

k means is a clustering program for partition and distinguishing a group of observation and recognition

说明：  毫米波图像超分辨复原，采用基于最大似然函数的算法，实现频谱外推(Millimeter wave image super-resolution restoration, using an algorithm based on maximum likelihood function, the spectrum extrapolation)

用于分析弧齿锥齿轮啮合轨迹的MATLAB程序。请大家分享。(For the analysis of spiral bevel gears meshing MATLAB track procedures. Please share with you all.)

variational bayesian blind image restoration

face database for face recognition

Jakes Model 用matlab 模擬並且畫圖(Jakes Model simulation using matlab and Paint)

实现了PID控制与自适应模糊PID控制的比较 亲测simulink仿真结果 (Adaptive fuzzy PID control)

system identification(FIR)