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使用改进的Nyquist脉冲实现OFDM信号的PAPR抑制(Nyquist pulse PAPR)

利用matlab进行商品销售的计算机仿真算法 根据售货情况，计算进货情况(Merchandising using matlab simulation algorithm based on the sales situation, calculate the purchase situation)

divide the image in to sub blocks

Bee algorithmBee algorithmBee algorithm(1)信号处理、(2)人工智能与模式识别、(3)神经网络、(4)图像处理、(5)数据挖掘、(Bee algorithm3)

参考Matlab提供的模块建立简化的三相锁相环的仿真模型，只保留必要的步骤，如abc-dqz只计算Vq，去除频率反馈模块和自动参数调整模块等。 建立单相锁相环的计算模型  简化单相锁相环的系统结构，保留必要的PI控制器等模块  验证并讨论输入信号频率在45-65Hz变化时设计的锁相环的动静态性能  仿真并分析三相输入信号包含谐波、不平衡和直流偏移时锁相环的锁相结果(Reference Matlab provides three-phase PLL module to establish a simplified simulation model, retaining only the necessary steps, such as abc-dqz counting only Vq, remove frequency feedback module and automatic parameter adjustment module.  simulation and analysis of the three-phase input signal contains harmonics, unbalance and DC offset PLL phase-locked Results)

说明：  matlab预测控制中的应用,非常好的资料(matlab application of predictive control)

the noise deteriorates the interpolation performance in digital images, it is effective to employ denoising prior to the interpolation. In this paper, we propose a novel interpolation framework in which denoising and image sharpening methods are embedded. In the proposed framework, the image is first decomposed using the bilateral filter into the detail and base layers which represent the small and large scale features, respectively. The detail layer is adaptively smoothed to suppress the noise before interpolation and an edge-preserving interpolation method is applied to both layers. Finally, the high resolution image is obtained by combining the base and detail layers. Experimental results show that the proposed algorithm outperforms the conventional methods

机器人上楼梯的杆状模型程序，展示机器人上楼的动作示例过程(Rod-shaped robot model program on the stairs, showing an example of the process of the robot moves upstairs)

MATLAB图象处理命令集合，可以留作备用(MATLAB image processing command set can be used as backup)

Matlab中优化多个矩阵相乘以提高计算效率的源代码。(Optimize a number of Matlab matrices to improve the computational efficiency of the source code.)