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papr
相位法峰平比降低技术,包括NEWMAN法和优化法,给出了降低之后的结果.(Phase-based method PAPR reduction techniques, including NEWMAN method and optimization method is given to reduce after the results.)
- 2009-11-04 20:07:58下载
- 积分:1
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56881_210197_41912
各型分布随机数的产生算法,用matlab可以实现。可以(Various types of distribution of the generated random number algorithm, can be achieved using matlab. Can)
- 2008-04-10 21:05:22下载
- 积分:1
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MAX+PLUSII
MAX+PLUSII不错的电子书,内容详细,易懂.(MAX PLUSII good e-books, detailed, understandable.)
- 2007-05-29 15:19:24下载
- 积分:1
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EVB_max
基于短时窗时频分析的相位声码器 核心代码 phase vocoder(phase vovoder bassed on time-frequency analysis )
- 2012-12-10 21:46:15下载
- 积分:1
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16-APSK和32-APSK的调制解调程序
说明: 很好的仿真程序,给出了16APSK和32APSK的调制解调程序,简单实用。(Good simulation program, the modulation and demodulation program of 16APSK and 32apsk is given, which is simple and practical.)
- 2020-05-06 10:49:32下载
- 积分:1
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BinImageHough
自己编写的matlab函数用于对图像倾斜进行自动校正,效果非常理想,对于条纹形的图像。(I have written matlab function is used to automatically correct image tilt, the effect is very ideal for stripe-shaped images.)
- 2014-11-07 21:38:41下载
- 积分:1
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16PSK
Demo for modulation 16PSK, after running you can show result
- 2010-12-06 00:12:10下载
- 积分:1
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518simulink
说明: 倒立摆simulink仿真源程序和论文,
并附有运行结果的抓图等(Inverted pendulum simulation simulink source and papers, together with the results of the drawings, etc.)
- 2008-09-27 17:14:59下载
- 积分:1
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time-series-model
matlab算法大全之时间序列模型,非常棒的资料(the matlab algorithm Daquan time series model, great information)
- 2013-02-19 19:26:38下载
- 积分:1
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Frequency-dependent-noise-attenuatio
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)
- 2013-12-12 16:51:44下载
- 积分:1