Time-frequency-analysis

计算DGGE图谱各泳道间的相似性指数组成相似矩阵，输入参数x为图谱的泳道的亮度（灰度）或者比移值矩阵(DGGE profiles calculated similarity between each lane index composed of similar matrix, the input parameter x for the map of the lanes of the brightness (gray) or Rf value matrix)

this code is used to find unknown coeff

registrationimage by cross correlation

为了对目标进行快速的检测，提出了一种新的基于支持向量机的级联式分类器的构造方法。该级联分类器由若干个线性SVM弱分类器构成，结构简单，分类时间极快。针对级联结构中的每个节点的训练给出了一个新的SVM框架下的二次规划模型，这使得每个节点都有较高的正样本检测率和适当的负样本错检率。(In order to quickly detect the target, a new cascade based on support vector machine classifier constructor. The cascade is controlled by a number of weak linear SVM classifier structure, simple structure, classification of time fast. Cascade structure for the training of each node is given a new SVM quadratic programming model under the framework, which allows each node has a higher detection rate of positive samples and negative samples of appropriate fault detection rate.)

pocket cloud data storage and sharing software

利用ＤＣＴ变换给图像插入水印信息，配有详细步骤说明( Use of DCT insert watermark to the image, with a detailed description of the steps)

在空时分组码的MIMO-OFDM系统条件下，对信道，子载波，比特和功率进行分配，仿真结果表明，系统有良好的吞吐量性能(Space-time block codes in MIMO-OFDM system under the conditions of the channel, subcarrier, bit, and power allocation, simulation results show that the throughput of the system has good performance)

grayscale decoding method

说明：  常用的绘图命令及程序示例，包括基本绘图函数及调用，三维绘图命令。(Common example of drawing commands and procedures, including basic drawing functions and calls, three-dimensional drawing commands.)

说明：  桥大学的YANG 和拉曼工程大学的 DEB 模拟布谷鸟的寻窝产卵行为, 提出一种新的智能优化算法 —— 布谷鸟搜索算法( Cuckoo Search) [9]。这种算法主要 基于布谷鸟的巢寄生繁殖机理和莱维飞行( L† vy flights) 搜索原理两个方面, 目前, 利用布谷鸟搜索算法( CS)求解 优化问题的研究还处于起步阶段。(This demo program only implements a standard version of Cuckoo Search (CS), as the Levy flights and generation of new solutions may use slightly different methods. The pseudo code was given sequentially (select a cuckoo etc), but the implementation here uses Matlab s vector capability, which results in neater/better codes and shorter running time. )