quadrature-phase-shift-keying

绘制电容电压变化曲线 电阻、电感、电容串联电路R、L、C，试求电路突然接通电源E时，电源电压uc(t)的变化规律，并绘制R=1,L=0.5,C=1,E=1,uc（0）=0，uc’（0）=0时的电容电压uc(t)d 的变化曲线。 (Draw capacitance voltage variation curve resistor, inductor, capacitor series circuit of the R, L, and C, Find circuit suddenly turned on the power supply E, the variation of the supply voltage uc (t), and draw the R = 1, L = 0.5, C = 1, E = 1, UC (0) = 0, uc ' (0) = 0 when the capacitor voltage uc (t) is the change of d curve.)

matlab图像处理实例详解chap9——彩色图像处理(matlab image processing examples explain chap9- Color Image Processing)

说明：  wisper that is useful for all of the algorithms.

三相电压源型逆变器的滞环跟踪PWM的simulin模型，我使用的是matlab2012a(current lagloop tracking PWM inverter)

truss solver with bridge

Matlab画地球（高质量同等比例下的地球）(This is matlab file to draw earth)

Magnetic resonance (MR) images can be used to detect lesions in the brains of multiple sclerosis (MS) patients and is essential for diagnosing the disease and monitoring its progression. An automatic method is presented for segmentation of MS lesions in multispectral MR images. Firstly a PD-w image is subtracted its corresponding T1-w image to get an image in which the cerebral spinal fluid (CSF) is enhanced. Then based on kernel fuzzy c-means (KFCM) algorithm, the enhanced image and the corresponding T2-w image are segmented respectively to extract the CSF region and the CSF combining MS lesions region. A raw MS lesions image is obtained by subtracting the CSF region CSF combining MS region. By applying median filter and thresholding to the raw image, the MS lesions are detected finally. Results are quantitatively uated on BrainWeb images using Dice similarity coefficient (DSC). Finally, the potential of the method as well as its limitations are discussed.

libc 详细说明了C库里代码的实现过程，里边有详细的注释(detailed description of the C library libc code implementation process, detailed notes inside)

此代码只要是自然梯度算法（naturalness_gradident_arithmetic，使用matlab编写的，一起学习(This code as long as it is the natural gradient algorithm (naturalness_gradident_arithmetic, using matlab prepared to learn)

读语音数据,数据放入了X,fs代表采样率，bit代表采样位数(Read voice data, the data is placed in the X-fs representative sample rate, bit representative sample median)