UCAV控制仿真

一个关于数学建模的资料,是纽约大学的程序和文档(On mathematical modeling of the data, New York University)

research papers for m tech

this is simple qpsk for matlab code

restore search blotch

说明：  引入具有平移不变性和良好的方向分析能力的双树复小波变换对源图像进行多尺度分解;然后对分解得到的各尺度的高频子带采用基于跨尺度的邻域空间频率的融合策略,最高层的低频子带采用基于改进的邻域熵的融合策略进行融合处理;最后对融合后的各个频带进行双树复小波逆变换,重构出融合图像(The dual tree complex wavelet transform with translation invariance and good direction analysis ability is introduced to decompose the source image in multi-scale; then the fusion strategy based on the cross-scale neighborhood space frequency is adopted for the high-frequency subband of each scale obtained by decomposition, and the fusion strategy based on the improved neighborhood entropy is adopted for the low-frequency subband of the highest level; finally, each frequency band after fusion is carried out Double tree complex wavelet inverse transform to reconstruct fusion image)

matlab编的调制解调仿真代码，相当棒，运行MQAM文件(matlab simulation series modem code, rather wand, run MQAM document)

matlab传动系统扭振GUI计算程序，MATLAB7.0版本以上，算法采用了符号运算方式。(GUI drive system torsional vibration matlab program, MATLAB7.0 version of the above, the algorithm uses symbolic algorithms.)

A Spatially-Constrained Mixture Model for Image Segmentation, by K. Blekas, A. Likas, N. Galatsanos and I. Lagaris

zernike矩需要用到的一些处理函数，可以直接调用，非常方便(zernike moments need to use some of the processing function can be called directly is very convenient)

We formulate a scheduling problem that takes into account different hardware delays experienced by the secondary users (SUs) in a centralized cognitive radio network (CRN) while switching to different frequency bands. We propose a polynomial-time suboptimal algorithm to address our formulated scheduling problem. We evaluate the impact of varying switching delay, number of frequencies, and number of SUs. Our simulation results indicate that our proposed algorithm is robust to changes in the hardware spectrum switching delay and its performance is very close to its upper bound. We also compare our proposed method with the corresponding constant switching delay-based algorithm and demonstrate that our suggestion of taking into account the different hardware delays while switching to different frequency bands is essential for scheduling in CRNs.