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svpwm is being implemented using matlab simulation blocks

说明：  图像的几种锐化处理，包括sobel算子，roberts梯度法和laplace算子锐化。并且将四种图像放在一起形成对比。(Several image sharpening, including sobel operator, roberts gradient and laplace operator sharpening. And will contrast the four images together.)

经典自适应算法 用LMS算法求最佳权值(Adaptive algorithm with the LMS algorithm for the best weights)

广义交叉验证函数(GCV) 广义交叉验证函数是用随机的方法对于一个给定的值A的正则化参数的计算。(Generalized cross-validation function (GCV) generalized cross validation function is stochastic method for a given value A regularization parameter calculations.)

lda算法，用于特征降维，可以将特征映射到更加易于区分的空间(FISHER DISCRIMINANT ANALYSIS WITH KERNELS)

连续阻尼物体运动的频谱，并画出了频谱曲线(Continuous spectrum damping the movement of objects, and plot the spectrum curve)

带前馈的PID算法，MATLAB语言编写，仿真效果不错。(With feed-forward PID algorithm, MATLAB language, simulation results are good.)

此仿真的原理基于压缩感知理论，以LFM为采集信号，测量矩阵使用的是伯努利矩阵，恢复算法采用的是OMP算法，恢复效果不错，想学习压缩感知方面知识的可以下载仿真使用！ (The principle of the simulation based on compressed sensing theory, collection for LFM signal, measure matrix using Bernoulli matrix, recovery algorithm USES is OMP algorithms, recovery effect is good, want to learn simulation using compression perceptual knowledge can download!)

ConvolveByRiemannSum assumes that x(t) and h(t) have finite support, and that the user provides samples of these functions in two vectors, x and h. These vectors contain samples of x, sampled at time points given in vector tx = tx_min:Delta_t:tx_max and samples of h sampled at time points in vector th = th_min:Delta_t:th_max, respectively. The functions x and h are assumed to be zero outside tx_min and tx_max and outside th_min and th_max, respectively. Note that while tx_min, tx_max, th_min, and th_max may differ, the time sample vectors must share the same time-interval, Delta_t.

方便准确的计算信号的互相关函数和互相关功率谱密度。(To facilitate accurate calculation of the signal cross-correlation function and cross-correlation power spectral density.)