BLDCControlGUI

数值分析的牛顿迭代算法数值分析的牛顿迭代算法(matlab )

说明：  计算温度场分布的程序，希望对有关人员有所帮助,基于matlab(Calculated temperature distribution of the procedures in the hope the officers concerned be helpful, based on matlab)

说明：  matlab的分形程序：康托集，koch树等(matlab fractal procedures: Cantor sets, koch trees, etc.)

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.

OFDM full simulation with clipping and filtering PAPR reduction technique

对脑电时域信号提取30Hz以内各个节律波能量比重(Extracting energy proportion of each rhythm within 30Hz for EEG time-domain signal)

它详细介绍了如何利用ZXing编写一个二维码的编码程序(It details how to use ZXing to write a two-dimensional code encoding process)

北京航空航天大学《惯性导航原理》第一次大作业源程序(Beijing University of Aeronautics and Astronautics inertial navigation principle " first great source operations)

说明：  关于心电信号的各种滤波方法，IIR，FIR，空域相关，软硬阈值，基于IIR的自适应滤波等(the method for ECG denoising,such as IIR,FIR,spatial correlation,soft and hard threshold,based on IIR filter s adaptive filter)

时频分析方法提供了时间域与频率域的联合分布信息，清楚地描述了信号频率随时间变化的关系。(Time-frequency analysis method provides a time-domain and frequency domain, the joint distribution of information that clearly describes the signal frequency versus time relationships.)