Convex-Optimization_

特征值分析，便于模态分析电网稳定态态势分析和薄弱环节识别(Eigenvalue analysis, to facilitate modal analysis grid steady state trend analysis and identification of weak links)

DV_hop-MATLAB源代码,leach,无线传感器网络调度算法设计与仿真(DV_hop-MATLAB Source code,leach,Design and simulation of wireless sensor network scheduling algorithm)

this is a code and it is very simple code

说明：  MATLAB数学实验的课件以及作业，里面有程序以及分析过程，这个是关于线性代数的(MATLAB Mathematical experiment courseware and operations, there are procedures and analysis process is on the linear algebra)

把地心惯性坐标系中的坐标转换为经度纬度和高度(convert Geocentric inertial coordinate system to longitude latitude and altitude)

COUNTERDELETE(NAME) removes the counter specified by name permanently

说明：  Matlab中的fft分析含噪声的信号，其中有直接FFT，时域同步平均后FFT，频域同步平均后FFT(Matlab s fft analysis with noise signals, which have a direct FFT, time-domain synchronous average, after the FFT, frequency domain synchronization for after averaging FFT)

Designing a bandpass and bandstop filter using matlab.

Hybrid kalman filter

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)