MATLAB7Xchengxushejiyuyanloushuntian

This function is a very simple application of FFT2 for an image to simulate the effect of bandpass filter with two cut off frequencies. One can easily modify the programme to do the processes for different images, and even implement highpass and lowpass filter

偏最小二乘(PLSR) 分别求出样品集光谱矩阵和样品组分矩阵的主成分矩阵,将这两个矩阵相关联,求其线性关系,用所建立的线性函数来预测未知样品。 (Partial least squares (PLSR) The principal component matrix samples were calculated in the spectral matrix and sample matrix, the two matrix associated with the linear relationship, linear functions are developed to predict unknown samples.)

aerogenerator model for wind turbine

QPSK 调制解调，采用B方式 可计算误码率及画图(QPSK modulation and demodulation)

Simulation Antennas_UWB beamforming

C++ Primer Plus, 作者 Stephen Prata 版本6ed, AW, 年份 2012 C++初级学者用书(C++ Primer Plus, Stephen Prata, 6ed, AW, 2012 C++ junior scholars books)

17 level converter in simulink

可以生成二维码,然后可以读取二维码比较结果(Can generate a two-dimensional code, and then compare the results can be read two-dimensional code)

潮流计算仿真实例，可以进行MATLAB仿真( Flow calculation simulation examples )

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)