CEEMDAN - 副本

A good book for robotics system development in Matlab.

雷达信号模糊函数仿真，可实现斜刀刃型模糊函数效果。(The radar signal ambiguity function simulation can achieve the helical blade fuzzy function effect.)

说明：  Matlab交互式多模型UKF和EKF滤波程序（附说明文档）(Matlab interactive multi model UKF and EKF filter program (with explanatory document))

两靖rayleigh衰落信道仿真。This m-file uses successive iterations of data to create an animated = effect ％showing the results of passing an unmodulated carrier through a simple = two ％path Rayleigh fading channel. The following formula and diagram ％illustrates the m-file operation. The animation shows, input(blue) ％and the output(red), the the phase shifts, gains, and attenuations ％of the output sine wave or carrier.(Two Jing Rayleigh fading channel simulation. This m-file uses successive iterations of data to create an animated = effect showing the results of passing an unmodulated carrier through a simple = two path Rayleigh fading channel. The following formula and diagram illustrates the m-file operation. The animation shows, input (blue) and the output (red), the the phase shifts, gains, and attenuations of the output sine wave or carrier.)

its a ofdma simulink model. with a modulation scheme on 8psk

基于距离转换的栅格地图路径规划方法,DT方法是从目标位置反向搜索路径。在栅格化环境中，从目标位置开始的距离传播视为一个波(wave front)沿空闲栅格传播。对于环境中任意给定的起始点，其到目标点的最短路径可通过使用最速下降法搜索而得到。(Raster map conversion path planning approach based on distance, DT reverse the search path from the target location. Distance from the target location in the grid environment, spread as a wave (wave front) along the idle grid dissemination. Starting point for any given environment, the shortest path to the target point by using the steepest descent method of searching.)

说明：  山区地貌图 运用interp2进行二维插值，同时需要注意X、Y以及高度是否正确对应。(Mountain topographic map In interp2 interpolation, attention should be paid to the correct correspondence of X, Y and height.)

The GSMSP uses the USRP hardware device to receive data from the GSM band. This data is raw and pretty useless unless filtered correctly.

谱估计的welch算法、周期相关图谱估计算法(Welch spectral estimation algorithm, cycle-related pattern estimation)

we present an improved fuzzy C-means (FCM) algorithm for image segmentation by introducing a tradeoff weighted fuzzy factor and a kernel metric. The tradeoff weighted fuzzy factor depends on the space distance of all neighboring pixels and their gray-level difference simultaneously. By using this factor, the new algorithm can accurately estimate the damping extent of neighboring pixels. In order to further enhance its robustness to noise and outliers, we introduce a kernel distance measure to its objective function. The new algorithm adaptively determines the kernel parameter by using a fast bandwidth selection rule based on the distance variance of all data points in the collection. Furthermore, the tradeoff weighted fuzzy factor and the kernel distance measure are both parameter free. Experimental results on synthetic and real images show that the new algorithm is effective and efficient, and is relatively independent of this type of noise.