crad

资源调度算法。VOIP业务在PF准则下调度的性能比较。(Resource allocation algorithm. VOIP business in the PF scheduling performance comparison criterion.)

系统可以利用声音信号产生带有回声的声音文件，并可以从带有回声的文件中消除回声而得到原声音信号；另外，系统还能从中估计反射物的距离(System can make use of the voice signals of the sound files with echoes and echoes from the document with echo and obtain the elimination of the original voice signal In addition, the system can also have to guess the distance from the reflective material)

Matlab有关于garch的源代码，内含几个M文件，包括估计、滤波、预报等。(It is the source code of garch by Matlab, which contains several M files, including estimation, filtering, prediction, etc.)

说明：  DBSCAN聚类算法，初步实现，功能比较简单，数据集比较简单(DBSCAN clustering algorithm, preliminary implementation, relatively simple function, relatively simple data set)

This book is an introduction to two subjects: Matlab and numerical computing. This ¯ rst chapter introduces Matlab by presenting several programs that inves- tigate elementary, but interesting, mathematical problems. If you already have some experience programming in another language, we hope that you can see how Matlab works by simply studying these programs.

说明：  用matlab编的Capon算法和延迟相加法的程序，能够实现不同信号入射时的DOA估计，从而可以比较两种算法的分辨率等(Used for the Capon algorithm matlab and delays add up to the law of procedure, to achieve different signal DOA estimates at the time of the incident, which can compare the two algorithms, such as the resolution)

GUI摩斯码转换器，实现摩斯码与英文的相互转换并发出声响(GUI Morse code converter)

采用matlab语言编写的PR方程计算P-T相图的程序(a program to calculate the P-T plot )

BATTLE OF HELICOPTERS

为判断聚类结果质量的好坏，需要一个客观的评价指标来评价聚类结果的合理性。聚类性能评价方法通常分为三种：外部评价法，内部评价法，相对评价法。外部评价法将聚类结果得到类标签和已知类标签进行比较，此评价法的前提是数据集样本的类标签已知(In order to judge the quality of clustering results, good or bad, the need for an objective evaluation to assess the reasonableness of the clustering results. Clustering performance evaluation method is usually divided into three types: external evaluation method, internal evaluation method, relative evaluation method. External evaluation method of clustering results to obtain class labels and the known class labels are compared, the premise of this evaluation method is a class label known sample of the data set)