yaogan

matlab与C语言的接口教程，能将matlab程序语言 直接转换为c语言，非常详细，千万不过错过，快点下吧！！！！(the interface of matlab with C language )

关于多选择背包的很好的文章，提供了各种设计思路(Multiple Choice Knapsack Problem Example of planning choice in transportation )

说明：  利用Matlab编写程序实现以下功能：以多项式形式输入系统前向通路传递函数和反馈回路传递函数，计算系统开环增益，判定型别，根据控制系统劳斯稳定判据原理，列出得到的任意阶次系统的劳斯表，判定闭环系统稳定性，若不稳定给出具有正实部极点的数目。 （1）根据用户输入的稳定度a，计算稳定的开环增益K的范围； （2）确定系统的最大稳定度a,计算相应的开环增益K的值。 (The use of Matlab programming to achieve the following functions: polynomial in the form of input system transfer function to the path and feedback loop transfer function, system open-loop gain calculation to determine type, according to Routh stability criterion control system theory, has been listed in the system of arbitrary order Routh table to determine the stability of the closed-loop system, if the stability of a positive real part gives the number of poles. (1) According to the stability of the user to enter a, calculation of the stability of the open-loop gain of the scope of K (2) to determine the most stable system a, the calculation of the open-loop gain of the corresponding K value.)

说明：  简单约束的优化算法，入门学习的简单程序,简单约束的优化算法，入门学习的简单程序,(Simple constrained optimization algorithm, started to learn the simple procedure)

说明：  基于gf（q)的ldpc编译码程序 matlab(based gf (q) ldpc encryption procedures Matlab)

how to sag created in power system by fault

digital watermark using dct

该matlab代码描述了谱减的语音增强算法(The matlab code spectrum is described by the speech enhancement algorithm)

source code for sideview annotation

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)