Chapter-9-Equations-in-One-Variable

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

主要介绍了当前图像配准的情况，并介绍了非弹性图像配准，是一篇很好的参考文献(Introduces the current situation in image registration, and introduced the non-elastic image registration, is a good reference)

语音减噪，自适应滤波器减噪，谱减法减噪，维纳滤波法减噪等(Voice noise reduction, the adaptive filter, noise reduction, and reduce the noise spectrum subtraction, wiener filtering method of noise reduction, etc)

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matlab中文手册，很实用，很全面，适合初学者(matlab Chinese Manual, very practical, very comprehensive, suitable for beginners)

用巴特沃斯逼近以及双线性实现数字滤波器的设计~~！！(iir)

说明：  IEEE33节点的并网燃料电池发电可直接运行(Ieee33 node grid connected fuel cell power generation can be operated directly)

Gabor filters image processing

对地震图像实现保边滤波，使图像更加真实可信。(Seismic image by edge preserving filter, the image is more authentic.)

SAR点目标成像matlab程序，采用RD算法，多点目标成像。(Matlab SAR point target imaging program, using RD algorithm, multi-target imaging.)