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chirp相关的网络例句

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与 chirp 相关的网络例句 [注:此内容来源于网络,仅供参考]

An algorithm for weak chirp signal detection and parameter estimation is presented in this paper.

提出一种超低信噪比下 chirp 信号的检测与参数估计方法。

This paper presents a Chirp typed watermarking algorithm based on information fusion.

本文提出了一种基于信息融合的Chirp类水印算法。

Hardware implementation of the chirp communication system has significance for the theoretical study.

该系统的硬件实现对于Chirp通信系统的理论研究有重要意义。

According to the physical layer technology of IEEE802.15.4a, this project plans to realize a basic chirp communication system.

但是目前的研究大多停留在理论层面,Chirp通信系统的具体实施研究的还比较少。

This paper introduces the circular shift of DCFT and proposes a new method to detect chirp.

该文提出了循环移位DCFT的概念,并根据这一概念给出了一种新的chirp信号的检测方法。

This project realizes a chirp communication system to transmit digital information such as voice and video.

本项目在IEEE802.15.4a标准背景下,实现采用Chirp信号传输数字语音和图像等信息的通信系统。

Also introduced 3 kinds of methods to serve as a frequency domain data to change the theoretical foundation that is time domain data at the same time, namely law of Fourier progression law, fast Fourier commutation and Chirp-z commutation law, made corresponding assessment to these 3 kinds of methods.

同时也介绍了3种方法作为把频域数据转换为时域数据的理论基础,即傅里叶级数法、快速傅里叶变换法和Chirp-z变换法,并对这3种方法作了相应的评价。

School of Information Engineering,Zhengzhou University,Zhengzhou 450052,ChinaA novel chirp-typed watermarking scheme which uses the properties of index additivity and orthonormality of fractional Fourier transform to embed watermark in the different fractional Fourier domain is presented.

提出了一种新的分数阶Fourier域Chirp类数字水印方案,该方案利用分数阶Fourier变换基函数的正交性和旋转相加性,在不同的分数阶Fourier域嵌入Chirp水印,并利用分数阶Fourier域Chirp信号的聚集性进行盲检测。

Many new detection techniques are proposed, that include: To overcome the faults of cross-terms and short unambiguity range for the common Wigner-Ville Distribution , short-time Fourier transform and Gabor transform are applied to SAR moving target detection. To improve the detection performance of WVD in noise environment, a new technique based on the Cross-WVD is proposed. The application of fractional Fourier transform to chirp signal detection is analyzed and extended to SAR moving target detection. To eliminate the restriction of chirp-Fourier transform, a new modified definition is proposed and applied to SAR moving target detection. To detect multiple moving targets whose scattering intensities are different heavily, the CLEAN technique is combined with the above techniques and the ideal detection performance is achieved. At last, the whole dissertation is concluded.

具体的研究成果如下:针对常用的Wigner-Ville分布在多目标情况下存在交叉项,并且多普勒不模糊范围小的缺点,提出将短时Fourier变换和Gabor变换应用于SAR运动目标检测,分析了其优势所在;为进一步提高Wigner-Ville分布低信噪比条件下的信号检测能力,提出基于互Wigner-Ville分布的运动目标检测方法;分析了分数阶Fourier变换在线性调频信号检测中的应用,提出基于分数阶Fourier变换的运动目标检测算法;对离散Chirp-Fourier变换的定义进行了修正,提出修正的离散Chirp-Fourier变换,克服了限制其应用的约束条件,并用于SAR运动目标检测当中;强度相差较大的多运动目标检测历来是机载SAR技术的一个重点和难点,我们将CLEAN思想融入上述多种算法当中,良好地解决了该问题。

a system of along-track mode sar based on the gps is established.by seeing the gps signal as a chirp,chirp scaling algorithm of this mode with large squint angle is investigated.chirp scaling algorithm is considered more efficient and widely applicable when the bistatic sar system is in side-look or small squint angle mode,but in large squint angle case,the errors caused by taylor expansion are so large that the algorithm could lose its precision.in such a case,an equivalent mono-static sar range mode which has fewer errors than taylor expansion with large squint angle is proposed to substitute the range history of bistatic sar.then bistatic sar images with large squint angles are gotten by common nonlinear cs algorithm.the effectivity of the method is verified by matlab simulation.

摘 要:建立了基于gps的顺轨sar系统模型,通过将gps信号等效为chirp信号,研究了在该模式下的大斜视角chirp scaling算法。在正侧视或小斜视情况下,cs算法具有较好的聚焦性能和广泛的适用性,但在斜视角较大的情况下,该算法将散焦而不能成像,因而提出了用等效的单基地距离模型来代替双基地距离历史的方法,解决了大斜视角情况下距离模型二阶近似误差较大的问题,并结合单基地非线性cs算法,实现了在大斜视角情况下的基于gps反射信号的双基地sar高精度成像,最后通过matlab仿真进行了验证。

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仔细审视后我们发现,这并非是对多边主义投出的赞成票,而是恰好相反。

Uncovering their weak spots, so I can defeat them.

揭露出他们的弱点,这样我就可以打败他们了。

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