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该算法是根据自适应差分脉冲编码调制原理编写的算法，该算法利用了语音信号样点间的相关性，并针对语音信号的非平稳特点，使用了自适应预测(The algorithm is based on principles of adaptive differential pulse code modulation written algorithm, which samples the voice signal using the correlation between, and for non-stationary characteristics of speech signal using an adaptive prediction)

由一张图像提取圆形的边缘,得到离散的点来拟合椭圆,并简单的去除噪声,得到椭圆中心坐标.(Extracted by a picture rounded edges to fit the discrete points oval, and simply remove noise, get the coordinates of the center of the ellipse.)

imu和视觉里程计 kalman滤波器 进行融合(imu VO fusion)

The source code is the best neighboring matching method, which will find out a best 16x16 macro block to conceal the lost macor block. this code is written by Matlab.

说明：  MATLAB5_X程序设计语言.pdf 用于matlab程序设计(MATLAB5_X programming languages. Pdf for matlab programming)

inverter with RL load and given as a pulse width modulus (PWM) at all gates of the circuit.

EMD方法的一個例子， 鍵入 >>U5() >>U6() (EMD method an example, type>> U5 ()>> U6 ())

Matlab工具箱总汇(Matlab toolbox confluence)

fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M ) input: X - input samples, Nx2 vector M - number of gaussians which are assumed to compose the distribution output: u - fitted mean for each gaussian (each mean is a 2x1 vector) covar - fitted covariance for each gaussian. this is a 2x2xM matrix. t - probability of each gaussian in the complete distribution iter - number of iterations done by the function

基音检测的MATLAB程序，好含有分帧程序，短时域所有相关分帧处理算法代码。(Pitch detection MATLAB.)