u_pcm

About UWB A co-basis is a special orthonormal basis, of the Hilbert function space, whose base functions are shape-invariant to Fourier transform except for phase shifts known a priori. A notable advantage of the co-basis orthonormal-expansion method lies in that it essentially conceals the difference between time- and frequency-domains expansions, such that expanding the UWB spectra (frequency domain) is almost equivalent to expanding the pulse shapes (time domain), making the designing task significantly simple. This paper highlights this advantages through tutorial examples on the design of UWB pulses with DAA functionality that meets Korea spectrum regulations.(About UWB)

在matlab中实现灰度预测,对时间序列类型，单一或多变量的数据较为实用(To achieve gray prediction in matlab)

Rotman lens S-parameters matrix calculation

this code helps to find roota of equation by gauss jordan method

实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))

说明：  能量循环检测程序，matlab仿真，内有程序和代码说明。(Energy cycle test procedures，matlab simulink)

两个数值实验的matlab编程实现。题目分别1是利用循环语句，计算数列根号5 ，根号下根号5 ，根号下根号下根号5…的极限，要求误差小于 10负8次方。 2利用级数pi=1-1/3+1/5-1/7+...可计算出无理数pi的近似值(Two numerical experiments matlab programming. Title 1 is the use of loop were calculated series roots and 5, roots and root number under 5, roots and root, root number under number 5 ... the limits of error of less than 10 required a negative 8th power. 2 using series pi = 1-1/3+1/5-1/7+ ... calculate the approximate irrational number pi)

一维当前Jerk模型的matlab仿真，引入当前模型的非零均值Jerk运动模型(Simulation of one-dimensional current-Jerk motion model by matlab , a nonzero mean Jerk model using current motion model )

matlab code for getting formant frequencies

选择映射降低OFDM系统中PAPR的论文(Select map PAPR reduction in OFDM systems papers)