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2d-lda的一些matlab算法，此法效率较高，值得学习学习哈(2d-lda some matlab algorithm, this method is more efficient, should learn from Kazakhstan)

说明：  跳频扩谱通信matlab代码，实现跳频通信系统仿真。(Matlab code for frequency hopping spread spectrum communications, to achieve frequency hopping communication system simulation.)

针对差分进化算法的程序，基于matlab，(Procedures for the differential evolution algorithm, based on matlab,)

uic513标准的matlab算法。振动，分垂横纵3个方向，输入，经matlab算法得出振动舒适度的指标(uic513 matlab)

给出了reliefF算法的matlab源代码，该算法用于处理目标属性为连续值的回归问题。是由relief算法拓展所得，可以处理多类别问题。(ReliefF algorithm matlab source code is given, and the algorithm is used for processing target attribute is continuous values of regression problems.By expanding income relief algorithm, can deal with many categories.)

考虑一个信道失真了的脉冲x(t)，在均衡器的输入端由下式表示：x(t)=1/(1+(2t/T)^2) 其中1/T为符号率。该脉冲以2/T采样率被采样，而且用一个2K+1=11的强迫归零均衡器进行均衡。写一个Matlab程序来解这些迫零均衡器的系数，求出并画出这个迫零均衡器50个采样值的输出。(Considering a channel distortion of the pulse x (T), the input end of the equalizer is represented by the X (T) =1/ (1+ (2t/T) ^2). 1/T is a symbol rate. The pulse is sampled at the 2/T sampling rate and is balanced by a 2K+1=11 forced zero equalizer. A Matlab program is written to solve the coefficients of these zero forcing equalizers and to find out and draw the output of the 50 sampling values of the zero forcing equalizer.)

讲述了最大熵估计的方法，以及dsp的实现方法，比较清楚(spoke of the estimated maximum entropy method, and the realization dsp, more clearly)

悬臂梁基础固支端水平方向受到振动强度RMS值为1g的高斯随机激励，有效激振频带为200Hz。要求设计合适的振动控制方案，使得在控制器的作用下，该悬臂梁自由端的随机振动响应具有良好的抑制效果。(Gaussian basis cantilever clamped horizontally by the end of the vibration intensity 1g RMS value of random excitation, the effective excitation band of 200Hz. To design a suitable vibration control scheme, making the role of the controller, random vibration response of the free end of the cantilever has a good inhibitory effect.)

photovoltaic and its mppt modeling in matlab

GPS和INS组合导航程序，构成不同频率的调制信号，利用自然梯度算法，验证可用，有较好的参考价值，用于信号特征提取、信号消噪，MIMO OFDM matlab仿真。( GPS and INS navigation program, Constituting the modulated signals of different frequencies, Use of natural gradient algorithm, Verification is available, There are good reference value, For feature extraction, signal de-noising, MIMO OFDM matlab simulation.)