ProblemsGeneration

PWMSound.m processing signal digital

高斯白噪声信号通过低通滤波器后的波形分析 (Gaussian white noise signal through the low-pass filter waveform analysis)

采用经典的双子样算法，实现完整的惯性导航计算。程序中还留有GPS组合导航计算的接口，供开发者进行使用。(Classic two sample algorithm to achieve complete inertial navigation calculations. The program also left interface GPS navigation calculations for developers to use.)

合成孔径雷达（SAR)目标成像仿真，包含了阵列信号处理的常见算法，最终的权值矩阵就是滤波器的系数，有较好的参考价值，FMCW调频连续波雷达的测距测角。( Synthetic Aperture Radar (SAR) imaging simulation target, Contains a common array signal processing algorithm, The final weight matrix is ??the filter coefficient, There are good reference value, FMCW frequency modulated continuous wave radar range and angular measurements.)

基于matlab的三相桥式整流电路仿真模型的仿真(Three-phase bridge rectifier circuit simulation model)

Future works can be intended to verify the robustness of our approach with respect to partial occlusions and large illumination changes

说明：  基于matlab实现卡尔曼滤波。卡尔曼滤波是递推自适应滤波的一种有效方法。(Kalman filter based on the realization of matlab. Recursive adaptive Kalman filter is an effective method for filtering.)

Understanding Interference Effect in communication systems.

说明：  i have attached q learning algorithm for finding a optimal band in allocating a band to a secondary user.

说明：  本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 ( This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Because it has saved the trained network weights, so the first use of identification procedures, you can directly run \ \ Release directory of the executable files, and then tested on the images directory to read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may cause very low recognition rate. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the number of training samples as much as possible. )