mdpsk_modulation

以matlab代码的仿真M-FILE，使用转变矩阵法来评估光波导中的模式耦合方程以及光栅的反射谱分散的法布里-珀罗滤波器模拟(Perot filter simulation- simulation with matlab code M-FILE, to assess the reflection spectrum of mode coupling waveguide grating dispersion equations and the transformation matrix method using Fabry)

Kohonen的SOM软件包，matlab里最好的som软件(Kohonen s SOM package, matlab best som software)

说明：  本目录存放的小波编码实现的源程序： 打开ezw2.dsw工作区，编译后可在\ezw2\ezw\debug中找到编码可执行程序； 在\ezw2\unezw\debug中找到解码可执行程序。(Wavelet realization of the source coding : Open ezw2.dsw work, compiled in \ ezw2 \ ezw \ debug find executable code; In \ ezw2 \ unezw \ debug find decoder executable.)

Lab tasks for students

vanishing point detection

Astar algorithm for path finding

含有时滞的奇异切换系统的稳定性分析判据,该判据是个时滞无关的判据，具有更小的保守性(Delay-independent criteria for exponential admissibility of switched descriptor delayed systems)

说明：  用matlab强大的数学算法引擎去实现语音识别，对过去的方法进行综述，并有所创新(Using matlab powerful mathematical algorithms to realize the speech recognition engine, the past methods of synthesis and innovation)

卷积法实现数字全息的计算机模拟，效果不错。。。。。。。。。。。(Convolution digital holographic computer simulation, good results. . . . . . . . . . .)

地震资料 数据处理 分频去噪 模块 主要压制随机噪音 异常振幅 野值 大值 方法特点：1 针对性强，主要去除随机噪音；2 随机噪音识别能力强，达到了较高的去噪水平；3 具有自适应性，能根据不同位置的不同特点统计识别噪音；4 振幅保真，对有效信号的保护性好；5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。 应用对比：为了展示本模块的去噪效果，所选取的对比对象是某知名成熟商业软件的分频去噪模块，其去噪效果在当前诸多成熟软件模块中是佼佼者，在地震资料处理界具有很好的口碑。 通过对比，说明本模块：1 针对性强，主要去除随机噪音和异常振幅等。2 随机噪音识别能力强，达到了较高的去噪水平。3 具有自适应性，能根据不同位置的不同特点统计识别噪音。4 振幅保真，对有效信号的保护性好。5 操作者可根据经验选择参数组合灵活去噪，达到较好的结果。(Frequency-dependent noise attenuation seismic data, processing module, is mainly to suppress random noise, denoising abnormal/large amplitude values Method of characteristics: 1 targeted, mainly to remove random noise 2 random noise and strong ability to identify , reach a higher level of de-noising 3 is adaptive , able to identify the noise statistics according to the different characteristics of different positions 4 amplitude fidelity , the effective protection of the signal is good 5 denoising operator flexibility to select the combination of parameters according to the experience , to achieve better results . Application contrast: To demonstrate the effect of the de-noising module , the selected object is a well-known comparative commercial software divide mature noising module de-noising effect is the current leader in many mature software module in seismic data processing industry has a good reputation. By contrast, the description of the module : a targeted, mai)