welch-snr

适合matlab的初学者，详细具体，需要的可以看下(Suitable for beginners MATLAB, detailed, need can facie )

一个基于图像腐蚀的应用，检测钢筋数目，省却时间(An application to detect the number of image-based reinforcement corrosion, save time)

本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。(This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) the new method. The method of iterative filtering theory is introduced to the extended Kalman filter method, the effective measurement of repeated use of the new information, also using Levenberg-Marquardt method to adjust the covariance matrix of prediction algorithm to ensure global convergence. Experimental results show that the proposed method has higher estimation accuracy, is a high efficiency, good performance tracking methods.)

根据公式产生多相码的相位，对应着转化为复数序列，然后相关脉压(generate P3 code)

smart antenna. WS=Z where Z=[1 0 0..]T & S is the stearing vector.Find W? STEP1:Input Number of Array Elements, The Separation Distance Between Elements, The Operation Frequency, The Angle of Incidence of The Desired Source Signal , The Angle of Incidence of The Interference Un-Desired Source Signals Respectively, The Angle of Incidence of the Undesired Interference Source Signal STEP2: Estimatie The Weight Vector of A Null Steering Beamformer STEP3:Inverse of Steering Beamformer STEP4:Find Weights Vector by using equation W=S-1ZT STEP5:Plot

通过一个单一的合成器实现众多乐器和音效的控制。我们要做的工作就是通过一定的方法合成一段不少于30秒的音乐，并流畅播放。设计中主要采用音调幅度调制的方式再现乐曲。(A number of musical instruments and sound control through a single synthesizer. We work to be done is through the method of synthesis of a period of not less than 30 seconds of music, and smooth playback.The design of the main tone amplitude modulation reproduction of music. )

二维变系数分数阶偏微分方程有限差分格式,拥有周期边界条件，和零初始条件(finite difference scheme for two-D fractional PDE)

该程序实现灰度图像分段线性变换，Matlab实现(Gray-scale image of the process to achieve sub-linear transformation, Matlab to achieve)

Designs a linear phase FIR lowpass filter such that it: - minimizes the filter order - has a constraint on the maximum passband ripple - has a constraint on the maximum stopband attenuation (This is a quasiconvex problem and can be solved using a bisection. minimize filter order n s.t. 1/delta <= H(w) <= delta for w in the passband |H(w)| <= atten_level for w in the stopband where H is the frequency response function and variable is the filter impulse response h (and its order/length). Data is delta (max passband ripple) and atten_level (max stopband attenuation level). )

ABNORMAL CROWD BERAVIOR DETECTION USING BERAVIOR ENTROPY MODEL.pdf