Cognitive-radio

说明：  bp神经网络程序，一共有是个程序，其中有网络训练，举例应用(bp neural network program, a total of a process, including network training, for example the application of)

说明：  单个矩形包络脉冲信号的模糊函数的matlab代码(Envelope of a single rectangular pulse signal ambiguity function of matlab code)

很全的matlab课件及知识点分析。适合初学者和使用。压缩包内函课件PPT及相关word。(Is the whole point analysis matlab courseware and knowledge. Suitable for beginners and use. PPT compressed package courseware and related letter word.)

基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。(Prediction of future availability times of different channels based on history information helps a cognitive radio (CR) to select the best channels for control and data transmission. Different prediction rules apply to periodic and stochastic ON-OFF patterns. A CR can learn the patterns in different channels over time. We propose a simple classification and learning method to detect the pattern type and to gather the needed information for intelligent channel selection. Matlab simulations show that the proposed method outperforms opportunistic random channel selection both with stochastic and periodic channel patterns. The amount of channel switches needed over time reduces up to 55 , which reduces also the delay and increases the throughput.)

三个图像压缩matlab源代码，希望大家喜欢(Three image compression matlab source code, hope you like)

最近在编制的一个求解微分方程的poission程序(Recently in the preparation of a program to solve differential equations poission)

The Rosenbrock function is a non-convex function used as a performance test problem for optimization algorithms introduced by Rosenbrock (1960). It is also known as Rosenbrock s valley or Rosenbrock s banana function. The global minimum is inside a long, narrow, parabolic shaped flat valley. To find the valley is trivial. To converge to the global minimum, however, is difficult.

设计切比雪夫I型低通滤波器，本文件主要应用冲击响应不变法设计，为课堂上老师留的作业(Design Chebyshev type I low-pass filter impulse response of the main application of this document the same method designed for classroom teachers to stay on the job)

最终的权值矩阵就是滤波器的系数，处理信号的时频分析，阵列信号处理的高分辨率估计，包括最小二乘法、SVM、神经网络、1_k近邻法,有较好的参考价值，结合PCA的尺度不变特征变换(SIFT)算法，计算加权加速度,旋转机械二维全息谱计算。( The final weight matrix is ??the filter coefficient, When processing a signal frequency analysis, High-resolution array signal processing estimates, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, There are good reference value, Combined with PCA scale invariant feature transform (SIFT) algorithm, Weighted acceleration, Rotating machinery 2-d holographic spectrum calculation.)

The program used to calculate the distance transform leaf cell number with the code attached sample images directly on the run