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pudn3
- 一般来说，瞬时频率和群延迟在时频平面内定义了两条不同的曲线，但是在时宽（T）和频宽（B）的乘积值逐渐变大时，这两条曲线会慢慢逼近。为了说明这一点，下面计算了信号的瞬时频率和群延迟，T*B值小。- In general, the instantaneous frequency and group delay in the time-frequency plane defines two different curves, but when the width [T] and bandwidth
sample-rate-conversion
- 内容包括:解线性代数方程组,插值,数值积分,特殊函数,函数逼近,特征值问题,数据拟合,方程求根和非线性方程组求解-VB -Include: solving linear algebraic equations, interpolation, numerical integration, special functions, function approximation, eigenvalue problem, the data fit the equation and non-linear eq
C_language_algorithms_for_Quick_Lookup_Manual
- 《C语言算法速查手册》用C语言编写了科研和工程中最常用的166个算法，这些算法包括复数运算、多项式的计算、矩阵运算、线性代数方程组的求解、非线性方程与方程组的求解、代数插值法、数值积分法、常微分方程（组）初值问题的求解、拟合与逼近、特殊函数、极值问题、随机数产生与统计描述、查找、排序、数学变换与滤波等。同时结合这些算法列举了将近100个应用实例，对其进行验证和分析。 -" C language algorithms for Quick Fact Manual" using
Approximation4TSP
- 三种解决TSP问题的近似算法的实现：最短链路法、最近插入法和最近邻居法-Approximation algorithm for the realization of three to solve the TSP: the shortest link, nearest insertion method and nearest neighbor
RBFNN-1
- 使用RBF神经网络实现函数逼近，逼近的函数为y(k)=u(k)^3+y(k-1)/(1+y(k-1)^2).通过对该程序的学习及实现可以更好的了解径向基神经网络的结构及算法-RBF neural network function approximation, the approximation of the function y (k) = u (k) ^ 3+y (k-1)/(1+y (k-1) ^ 2) through the program to learn and achieve mor
MLS1DShape_0
- 移动最小二乘法形函数，形函数一阶导数，二阶导数-SHAPE FUNCTION OF 1D MLS APPROXIMATION
MLS1D_0
- 一维最小移动二乘法拟合位移场的无网格方法算例。-ONE-DIMENSIONAL MLS APPROXIMATION
llr_pearl
- 非规则ldpc码情况下的近似对数似然比方法的置信译码方法完整代码-Approximation in the case of non-rule ldpc code complete code decoding method like the confidence of the likelihood ratio method
remez
- Minimax Approximation and Remez Algorithm
image2jpg
- IM2JPEG Compresses an image using a JPEG approximation.
bp
- 使用matlab神经网络工具箱用bp网络实现函数逼近，学习BP网络-use matlab neural network toolbox with bp networks function approximation.
code
- 分别利用 Lagrange插值法、分段线性插值法与三次样条法进行插值逼近-Respectively, by Lagrange interpolation, piecewise linear interpolation and cubic spline interpolation approximation method
Desktop
- 书籍源码，采用泰勒展开近似的误差。用了3D图来画出表示。-Plot a 3D graph of variation in a Taylor series approximation as the degree varies. This program is for log(x) about x=1.
rbf
- 建立一个径向基神经网络，对非线性函数y=sqrt(x)进行逼近，并作出网络的逼近误差-The establishment of a radial basis function neural network, the nonlinear function y = sqrt (x) to approximate, and make the network approximation error
MLP_MG
- Mackey-Glass时间序列预测建模问题，建立了四输入一输出、具有3层结构的MLP人工神经网络，实现了函数逼近的功能。-Mackey-Glass time series prediction modeling, the establishment of a four-input one output, with a 3-layer MLP artificial neural network architecture to achieve a function approximation fu
NH_BJ
- 拟合与逼近 主要是应用切比雪夫多项式进行拟合来逼近原始曲线-Fitting and Approximation
chapter three
- 第三章：机器人神经网络自适应控制 基于模型不确定补偿 基于模块逼近(Chapter 3: adaptive control of robot neural network Model uncertainty compensation Module approximation)
algorithms-master
- python 常用算法，快速排序，选择排序，合并排序，dijkstra，二分查找(algorithms:quicksort selectsort mergesort dijkstra binary_search approximation)