License-plate-recognition

说明：  matlab上的EMD经验模态分解的源代码(matlab on the EMD EMD source code)

a function called fit least square in mathematics with an excel sheet

optical ray simulation code in matlab for system design

Shows single- and two-stage-decomposition of a sample image, as well as reconstructed branches. The reconstruction error is shown. Also demonstrates that better compression can often be obtained if different thresholds are allowed for different subbands.

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.)

B I Q I is utilized to evaluate the image quality without any reference images.

说明：  这是一个关于图像边缘检测的小程序，希望对大家有所帮助(This is an image of a small edge detection procedures, we hope to help)

This toolbox implements the algorithm in a fairly general way in a C file that can be called from Matlab. It allows to perform the traditional NL-means for denoising (for both B&W and color images) but also to use an arbitrary set of patches to perform the denoising. (This toolbox implements the algorithm in a fairly general way in a C file that can be called f rom Matlab. It allows to perform the traditiona l NL-means for denoising (for both B)

借鉴Hammerstein模型，对传感器进行建模，并仿真(Reference Hammerstein model, the sensor model and simulation)

FIR filter to real/complex signal (platform x86, SSE instructions)