MATLAB

关于系未分配问题的解和matalb程序，随机生成100组数据(Distribution on the system is not the solution and matalb procedures, randomly generated 100 sets of data)

In the planning stage of a GNSS-measurement campaign it is useful to compute several design para-meters in order to decide how, when and where to carry out the measurements. The MATLAB user interface VISUAL.M enables you to compute the design parameters for any system design.

说明：  实现基频提取的RAPT算法（一种鲁棒性的基频提取算法）。输入文件为wav波形文件。(A Robust Algorithm for Pitch Tracking (RAPT))

- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer + Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts. +Reference papers: H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.(- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous- Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.)

X波段低损耗高增益微带阵列天线设计(X-band low-loss high-gain microstrip array antenna design)

实现ＫＮＮ分类器，很好用的代码，我们这边都用它哟，给大家分享一下(KNN classifier to achieve, good with the code, we here have used it yo to share with you)

可以做出一个漂亮的三维心形，赶快快来试试吧(Can make a beautiful three-dimensional heart-shaped, come try it)

由于Kalman 滤波算法将被估计的信号看作在白噪声作用下——个随机线性系统的输出， 并且其输入输出关系是由状态方程和输出方程在时间域内给出的， 因此这种滤波方法(Because of Kalman filtering algorithm will be estimated as the signal in white noise-a random under the action of linear systems, and its output input and output relationship is by the state equation and output equation in time domain are within the, so the filtering method )

求两个信号的衰减度及其对应的衰减相位之差。(Seeking two signal attenuation and the corresponding attenuation of the phase difference.)

基于功率谱相减法的语音消噪，采用动态阈值法(Power spectrum subtraction based denoising of speech using dynamic threshold method)