xiaoboyuyugaosi

能够修改交织深度，来实现任意长度的交织，采用802.11a的方案，实现分组交织(Interleaving depth can be modified to achieve any length intertwined, using 802.11a solution, implementing the packet interleaving)

Z本程序利用BP神经网络对图像特征进行了，提取，并给出了响应的解释(Z This program makes use of BP neural network image features were extracted, and the explanation given in the response)

说明：  利用KICA实现聚类，里面含有数据集，可以进行测试(clustering with KICA)

对于移动通信系统主要有两类衰落：大规模衰落和小规模衰落。大规模衰落表示由于大范围内移动而引起的平均信号能量的减少或路径损耗。而小规模衰落则表现为两种机制：信号的时延扩展和信道的时变特性。对于无线应用，信道的时变特性是由于发射机和接收机相对移动而造成传输路径的变化。这些传播条件的变化速率影响衰落率。如果存在大量反射路径而不存在视行信号分量，此时的小规模衰落称为瑞利衰落(Rayleigh fading)，接收信号的包络由瑞利概率分布函数统计描述。这种衰落也就是这次实验我准备研究的(system for mobile communications fading there are two main categories : large-scale and small-scale fading fading. In view of large-scale decline of large scale movement of the average energy of the signal path to reduce or loss. And the decline of small-scale, it was manifested as two mechanisms : signal delay expansion and channel time-varying characteristics. For wireless applications, channel time-varying characteristics as transmitter and receiver relative movement caused transmission path changes. These conditions spread of the rate changes affect the rate of decline. If there is a large number of pathways exist without depending on the signaling component, At that time, the decline of small-scale known as Rayleigh fading (Rayleigh fading). The received signal envelope from Rayleigh )

基于蚁群算法的动态最优路径规划 (Dynamic optimal path)

DS_CDMA通信系统 DS_CDMA communication system MATLAB(DS_CDMA communication system)

跳频（占空比为1）2fsk的部分频带干扰误码率计算，这个程序是基于matlab的，自己编的，呵呵(Frequency Hopping (duty cycle 1) 2fsk the partial band interference bit error rate, this procedure is based on matlab, and their series, Oh)

Prueba1 FletcherReeves Hernández Santiago José Maestría en Ciencias de la Computación Septiembre / 2011 1. Comenzar con un punto arbitrario 2. Calcular Gradiente de Fi 3. Si el Gradiente Fi es igual a 0(converge), termina 4. Si el Gradiente Fi es !=0 continuar 5. Encontrar dirección de búsqueda Si= -GradienteFi= - Gradiente F(Xi) 6. Determinar la Longitud Optima del incremento lamda(i) en dirección Si X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi) 7. Hacer i=2 8. Obtener Gradiente Fi 9. Calcular Si= -GradFi + ( [abs(GradFi)^2]/[abs(GradF(i-1))^2] )*S(i-1) 10. Determinar la Longitud Optima del incremento lamda(i) en dirección Si X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi) 7. Verificar Optimalidad de X(i+1) Si es optimo, detener Si no es optimo hacer i=i+1 e ir al paso 8

its a digital image processing project in matlab image recognition

运用MATLAB对工业产品的设计进行仿真技术与应用(The use of MATLAB simulation technology and application design of industrial products)