kalman

BFT,正交傅里叶变换，用于检测线性调频斜率的方法。仿真与论文结果一致。(BFT, orthogonal Fourier transform for detecting the slope of the linear frequency modulation method. Simulation results are consistent with the thesis.)

Offset quadrature phase-shift keying (OQPSK) is a variant of phase-shift keying modulation using 4 different values of the phase to transmit. It is sometimes called Staggered quadrature phase-shift keying (SQPSK).

0_Linear：线性回归练习 1_LogistRegression：逻辑回归练习 2_boston：波士顿房价预测 3_regularization：正则化 5_stock：股票价格预测 6_CTR：点击率预测 7_all_model：回归与分类模型 8_muticlass：多分类练习 9_regression_implement：不同回归算法tf实现(0_Linear. 1_LogistRegression. 2_boston. 3_regularization. 5_stock. 6_CTR. 7_all_model. 8_muticlass. 9_regression_implement.)

Implementation of the centered difference method for numerical differentiation. Evaluation of the derivative of the following functions (numerically) f(x) = 0.3x^2 + x*exp(sin(2x)), for − 6 <= x <= 6(Implementation of the centered difference method for numerical differentiation. Evaluation of the derivative of the following functions (numerically) f(x) = 0.3x^2+ x*exp(sin(2x)), for − 6 <= x <= 6)

应用MATLAB编写的图像分割程序。分割过程是，图像输入，边缘检测的计算(Applications written in MATLAB image segmentation procedures. Segmentation process, image input, the calculation of edge detection)

关于Google Map的源码,用于定位所在的位置，相当实用(The code for Google Map)

该程序是由matlab编写，可实现机器人的模糊自适应控制的仿真。(The program is written by matlab, enabling the simulation of fuzzy adaptive control of the robot.)

地震信号处理接收函数讲已处理好的程序进行作图(Speak seismic signal processing receiver function plotting program has been handled well)

In linear algebra, Gaussian elimination (also known as row reduction) is an algorithm for solving systems of linear equations. It is usually understood as a sequence of operations performed on the associated matrix of coefficients. This method can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix. The method is named after Carl Friedrich Gauss, although it was known to Chinese mathematicians as early as 179 AD (see History section).

实现立体空间的多目标空间定位，对于被动测距问题，有着深入的思考和功能仿真。(Multi-dimensional space to achieve target location, for passive ranging issues, with in-depth thinking and functional simulation.)