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基于matlab计算人体皮肤表面温度随时间变化的曲线。(Matlab calculation based on human skin surface temperature over time curve.)

实现傅里叶变换高通、低通滤波，理想滤波，各种滤波因子。(Fourier transform to achieve high-pass, low-pass filtering, ideal filtering, filter factor.)

Z源逆变器的光伏系统仿真，对象是直流无刷电机，理论很深，对写论文有帮助(Z-source inverter PV system simulation, the object is a DC brushless motor, deep theory, help to write papers)

利用matlab作语音识别的ppt 它包含的例子非常好 很适合初学者 包含音频频谱仪的源码(Use of matlab for speech recognition ppt it contains very good examples of very suitable for beginners includes audio spectrum analyzer source code)

利用pcnn，每当有一批像素对应的神经元点火，对像素值进行一次修正。第n次点火的所有神经元用矩阵B（n）表示， 已经点火的像素位置标记为‘1’，未点火的标记为‘0’。通过一个3*3的模板滑过B（n），判断若模板内的值全为‘1’或全为‘0’， 则这些像素值不进行处理，否则若模板中心的值为‘1’，则增加该位置的像素值的大小，中心值为‘0’，则减小像素值。该功能由xiugai(B,K)函数实现 Beta取负值来抑制周围的神经元点火，因为输入pcnn（X）的是模糊图像，抑制之后使处理的像素值更加接近原图像的像素值（抑制参数通过试验确定，并不精确） 总之运行结果只是对像素值变化较大的边缘区域进行了像素值的修正。 通过不断调整参数使峰值信噪比有所升高，但是升高得不是太多(Use pcnn, whenever a group of pixels corresponding to the firing of neurons, a correction value for the pixel. Ignition of all the n-th neuron matrix B (n) represents, Already ignition pixel position labeled 1 , unfired labeled 0 . By a 3* 3 templates over the B (n), determines if the value within the template are all 1 or all 0 , These pixel values are not processed, otherwise the value if the template center 1 , then the increase in the size of the pixel values of the position, the center value of 0 , the pixel value is reduced. This function is implemented by xiugai (B, K) function Beta is a negative value around the element to inhibit neuronal firing, because the input pcnn (X) is a blurred image, the pixel values of inhibition after treatment of the pixel value closer to an original image (suppression parameter determined by experiment, is not exact) Results only in short run large changes in the edge region of the pixel values of the corrected pixel values. )

image interpolation code which include some comments you to help you to aplly. Have fun!

the rayleigh fading channel

In control theory and stability theory, root locus analysis is a graphical method for examining how the roots of a system change with variation of a certain system parameter, commonly a gain within a feedback system. This is a technique used as a stability criterion in the field of classical control theory developed by Walter R. Evans which can determine stability of the system. The root locus plots the poles of the closed loop transfer function in the complex s-plane as a function of a gain parameter.

说明：  滑模控制算法, matlab仿真，采用m脚本的形式。(The sliding mode control algorithm is simulated by MATLAB in the form of M script.)

Autoregressive cholesky model for correlated links observed in athlete monitoring scenario