deltablue

MATLAB遗传算法的算例。比较详细。里面使用了matlab里的遗传算法工具箱。(MATLAB genetic algorithm example. More detailed.)

蓝牙协议语音通信ｍａｔｌａｂ仿真程序，包含语音传输， I/O, CVSD speech coding, HEC, FEC, framing, GFSK Modulation, frequency hopping, 和802.11b interferer.(Simulink model of a Bluetooth communication link transmitting HV1, HV2 or HV3 voice packets. Includes wave file I/O, CVSD speech coding, HEC, FEC, framing, GFSK Modulation, frequency hopping, and an 802.11b interferer.)

BPSO 二进制粒子群优化算法matlab源代码实现 (Binary particle swarm optimization algorithm)

matlab概率论与数理统计WORD文档(matlab Probability Theory and Mathematical Statistics WORD document)

利用三比值法实现充油电气设备的故障诊断，对气体的相对含量进行分析，得出对故障状态较可靠的诊断(The use of three-ratio method to achieve oil-filled electrical equipment fault diagnosis, the relative content of the gas to be analyzed, the state obtained a more reliable fault diagnosis)

基于密度的聚类分析典型算法--DBSCAN(A Typical Density-Based Cluster Analysis Algorithms--DBSCAN)

说明：  跳频是按跳频序列随机改变一个信道所占有频道频率的技术。在GSM 系统中，可利用跳频技术频率分极和干扰分极的特点，改善网络质量。引入跳频技术，可保证在网络软拥塞不上升的情况下，频率复用度较小。(FH frequency hopping sequence is based on a random channel change in the country channel frequency technology. In the GSM system, can make use of frequency hopping technology sub-polar and polar characteristics of interference and improve network quality. The introduction of frequency-hopping technology to ensure that congestion in the network does not increase in the soft case, a smaller frequency reuse moment.)

Offline Signature Verification Using Virtual Support Vector Machine

说明：  第三章 MATLAB 图形对象 3.1 图形对象 3.1.1 Root 对象 3.1.2 Figure 对象 3.1.3 Uicontrol 对象 3.1.4 Uimenu 对象 3.1.5 Axes 对象 3.1.6 Image 对象 3.1.7 Line 对象 3.1.8 Patch 对象 3.1.9 Rectangle 对象 3.1.10 Surface 对象 3.1.11 Light 对象 3.1.12 Text 对象 (Chapter III of MATLAB graphic objects 3.1 graphic object 3.1.1 Root object 3.1.2 Figure object 3.1.3 Uicontrol object 3.1.4 Uimenu object 3.1.5 Axes Object 3.1.6 Image Object 3.1.7 Line object 3.1.8 Patch Object 3.1. 9 Rectangle object 3.1.10 Surface Object 3.1.11 Light Object 3.1.12 Text Object)

This package is performing the K-medoids clustering algorithm on any data.