phasean

ofdm中的PAPR问题的CLIPPING方案的BER(ofdm in the PAPR problem CLIPPING program BER)

灰色关联度matlab源程序，灰色关联度分析法是将研究对象及影响因素的因子值视为一条线上的点,与待识别对象及影响因素的因子值所绘制的曲线进行比较,比较它们之间的贴近度,并分别量化,计算出研究对象与待识别对象各影响因素之间的贴近程度的关联度,通过比较各关联度的大小来判断待识别对象对研究对象的影响程度。(Gray correlation matlab source code, gray correlation analysis method is to study the factors and factors affecting the value of the points as a line, with the object to be identified and factors affecting the value of the factor curves drawn compares them to the between the proximity, and were quantified to calculate the object to be identified with the study of factors affecting the degree of correlation between the close degree of correlation by comparing the size of the object to be identified to determine the degree of influence on the study.)

This is a Modified Sinusoidal PWM Technique for Gate drive os Inverters in MATLAB Simulink.

双馈风机在孤岛运行下的仿真模型，适合研究生的学习和科研工作(Doubly-fed fan in the islands of the simulation model of run, suitable for graduate study and research work)

OFDM的一些基础步骤，希望对大家的学习有所帮助。(OFDM some basic steps, we want to help learning.)

To compute velocity and displacement from Acceleration data In put : Acceleration data and sampling rate in time (delta time) Out put : time. acceleration, velocity, and displacement.

对近红外光谱图进行处理，主要是消除颗粒分布不均匀及颗粒大小产生的散射影响。(To deal with the near infrared spectra, mainly eliminate the uneven distribution of particles and the scattering effects of particle size. )

信号与系统第二版作者是Steven T. Karris。全书分为基本信号表述，拉普拉斯变换，反拉普拉斯变换，电路分析，脉冲响应等章节。(Signals and Systems 2nd edition written by Steven T. Karris. The book is divided into basic signal representation, Laplace transform, anti-Laplace transform, circuit analysis, impulse response and other sections.)

说明：  这是一个用来进行同类数据统计平均值及加权平均值的Matlab程序，可以试试。

the noise deteriorates the interpolation performance in digital images, it is effective to employ denoising prior to the interpolation. In this paper, we propose a novel interpolation framework in which denoising and image sharpening methods are embedded. In the proposed framework, the image is first decomposed using the bilateral filter into the detail and base layers which represent the small and large scale features, respectively. The detail layer is adaptively smoothed to suppress the noise before interpolation and an edge-preserving interpolation method is applied to both layers. Finally, the high resolution image is obtained by combining the base and detail layers. Experimental results show that the proposed algorithm outperforms the conventional methods