Matlab-M-File01

编制程序产生序列 信号长度可通过“输入”确定，并绘出其图形。 (Programmed sequence of signals generated by the length of " input" to identify and draw its graphics.)

研究OFDM系统抗干扰技术，采用Matlab仿真环境，评价采用循环前缀(CP)和均衡技术的OFDM系统在多径环境和衰落信道条件下的误比特率、误帧率等性能指标。(Study on anti-jamming technology OFDM system using Matlab simulation environment to evaluate the use of cyclic prefix (CP) technology and balanced OFDM system in multipath fading channel environment and under the condition of bit error rate, frame rate, such as misuse of performance indicators.)

The use of Internet Protocol Suite of TCP/UDP in environments characterized by high delay and high Link Error rates result in significant degradation of the Protocol Performance. The DTN Bundle Protocol can be used in such scenarios. Performance evaluation of Delay-Tolerant Network Bundle Protocol in a live network is difficult due to the absence of networks characterized by extreme environs

2FSK信号的三次相位函数的matlab程序，自己编的，希望大家批评指正(cubic phase function of 2FSK)

MC（蒙特卡罗）算法计算多节点的通信网性能分析。双向链路可靠性相同。一个有图一个无图(MC (Monte Carlo) algorithm to calculate the multi-node communication network performance analysis. The same two-way link reliability. A diagram of a non-graph)

如何计算音频文件的直方图的matlab源代码！(How to calculate the histogram of an audio file of matlab source code!)

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))

Power flow analysis with TCSC using Newton- Raphson method

Hierarchial Centroid the zip consists of implementation of hirarchial centroid along with their figures and their sample outputs

英文版本的关于反馈fxlms算法在主动降噪中的使用，很不错的一个pdf(Feedback fxlms English version of the algorithm on the use of active noise reduction, very good one pdf)