Gauss_seidel

Indexation 1-1 for image by FFT matlab

以matlab为工具利用数字图像处理技术对答题卡进行了识别，并对识别结果进行了处理。注意到答题卡在采集图像的过程中由于各种原因可能会产生图像倾斜、水平或垂直错位，要进行正确识别首先必须对其进行校正，再依据像素检索技术进行识别。(With MATLAB as the tool, the answer card is identified by digital image processing technology, and the recognition results are processed. It is noted that the answer card in the process of collecting images may cause image tilt, horizontal or vertical dislocation for various reasons. To correct recognition, it is necessary to correct it first and then identify it according to the pixel retrieval technique.)

語音信號是基於時間軸上的一維數位信號，在這裏主要是對語音信號進行頻域上的分析。在信號分析中，頻域往往包含了更多的資訊。對於頻域來說，大概有8種波形可以讓我們分析：矩形方波，鋸齒波，梯形波，臨界阻尼指數脈衝波形，三角波，餘旋波，余旋平方波，高斯波。對於各種波形，我們都可以用一種方法來分析，就是傅立葉變換：將時域的波形轉化到頻域來分析。(Voice signal is based on the timeline of one-dimensional digital signal, where mainly the speech signal in frequency domain analysis. In signal analysis, frequency domain often contains more information. For the frequency domain for about 8 allows us to analyze waveforms: rectangular square wave, sawtooth, trapezoidal wave, the critical damping index pulse, triangle wave, I spin wave, I spin square wave, Gaussian. For all waveforms, we can analyze in a way that is Fourier transform: the transformation of time domain waveform into the frequency domain to analyze)

改进的小生境遗传算法和源程序实现，metalab实现(Improved genetic algorithm)

提出一种新的混合数字水印算法，它利用了 两种方法最好抵制JPEG压缩。(develop a novel hybrid watermarking algorithm that exploits the best of both approaches for greater resilience to JPEG compres- sion. )

国外著名控制专著《extremum seeking control and application》第6章案例matlab源码(matab code for examples of ch6 in a well-known book《extremum seeking control and application》)

VS2005调用matlab，适合于初学者学习研究(VS2005callmatlab,for the students who study early)

三相半波整流电路的matlab仿真，可以直接用(Matlab simulation of the three-phase half-wave rectifier circuit, can be directly used)

说明：  汽车动力学模型，输入为电机和发动机转矩和变速器传动比，输出为车速。(Vehicle dynamics model, input motor and engine torque and transmission ratio, output speed.)

说明：  建立主成分分析和因子分析界面，对给定的随机数据进行主成分分析和因子分析(Establishment of principal component analysis and factor analysis interface for a given random data principal component analysis and factor analysis)