搜索资源列表
MSCluster
- MS-Clustering is designed to rapidly cluster large MS/MS datasets. The program merges similar spectra (having similar m/z values ?within a given tolerance), and creates a single consensus spectrum as a representative. The input formats accepted are:
TVAL3
- %TVDENOISE Total variation grayscale and color image denoising % u = TVDENOISE(f,lambda) denoises the input image f. The smaller % the parameter lambda, the stronger the denoising. % % The output u approximately minimizes the Rudin-Osher-Fatemi (ROF)
TVL1_HCS_v1
- % May 2010 % This matlab code implements TVL1 based Hybrid Compressive Sensing using LSQR. % Only suitable the small scale data due to the costly storage and computation. % % A - M x N measurement matrix: random sampling alone or hybrid sampling (ran
EST_Method_and_Programe.rar
- matlab圆度误差的评定算法，最小二乘法，最小包容区域法，最大外接圆法，最小内接圆法,roundness error matlab assessment algorithm, the least square method, the minimum tolerance zone method, the largest circumcircle method, the smallest within the inscribed circle method
newtsol
- Newton-Armijo code for scalar equations: Inputs: X = initial iterate, F = function, TOLA = absolute error tolerance, TOLR = relative error tolerance, JDIFF = 0, analytic derivative, syntax: [f,fp]=f(x), JDIFF = 1, forward difference derivative , Outp
chordsol
- CHORDSOL Chord method code for scalar equations. This code terminates on small relative-absolute errors, function [X, HIST] = CHORDSOL(X, F, TOLA, TOLR) Inputs: X = initial iterate F = function TOLA = absolute error tolerance TOLR
secant
- function [x, hist] = secant(x, f, tola, tolr) SECANT This a secant code with no line search. This code terminates on small relative-absolute errors function [X, HIST] = SECANT(X, F, TOLA, TOLR) Inputs: X = initial iterate F = function T
Encoder
- 通用汉明码编码器，并加入容错处理，MATLAB源程序-General Hamming code encoder, and add fault tolerance
Decoder
- 通用汉明码译码器，并加入容错处理，MATLAB源程序-General Hamming code decoder, and add fault tolerance, MATLAB source code
frame_syn
- 这是一个帧同步数据搜索模块，用于检测输入的数据流中的帧头，当检测到帧头后输出一个同步信号。 输入数据为 8bit的并行数据流，数据流中的每帧由 10 个字节组成，为 1个字 节的帧头（47H）加上 9 个字节的数据。各个字节的中间部分与时钟上升沿对齐。 每帧数据中，除帧头外的其他数据也可能为 47H。 在数据传输过程中，帧头数据有可能受到干扰而变为其他数值，因此要求输出同步信号时具有一定的容错功能。-This is a frame synchronization
BP
- 测试网络的容错性,并且对实际含噪声的字母进行识别，以实现BP网络的识别功能。-Test network fault tolerance, and the actual identification of letters with noise, to achieve the BP network, recognition.
Gear-Translation
- 齿轮传动参数测定和公法线公差计算 可以用来优化齿轮的传动系统-Gear parameters measured and calculated tangent tolerance can be used to optimize the transmission gear
ResearchandPracticeforNonlinearModelingofSwitchedR
- 开关磁阻电机作为一种电动调速系统具有结构简单坚固、低成本、高容错性能以及高速运行的能力,目前它越来越广泛的应用于航空和汽车上的起动/发电系统,具有很大的潜力。要对开关磁阻电机进行深入的理论分析,就需要对其建立一个准确而又有实用性的模型。而 MATLAB 软件具有强大的矩阵和数学计算功能,利用它的模块之一 SIMULINK 建模有着界面友好、易于进行参数修改等特点。国内利用 MATLAB 软件对开关磁阻电机进行建模主要分两大类:一部分是采用 M 文件编程的方法 另一部分是利用开关磁阻电机的线性电感
ex6
- （1）对地区因素对身高的影响进行单因素方差分析；（2）对性别、年龄、部位三个因素对耐痛性的影响的多因素方差分析-(1) the impact of regional factors on the height of the single factor analysis of variance (2) gender, age, location of the three factors on the pain tolerance of the multi-factor analysis of v
BessDerivZerosBisect2
- 计算了贝塞尔函数的一阶导数的零点。 更新BessDerivZerosBisect.m这些变化： 1。允许对m= 0 2。允许用户指定特定的m和k值理想。 3。允许公差输入参数 4。使用一个表的查找能为m和k的小值接近初始化 5。添加错误检查 6。计算衍生w.r.t.以X而不是w.r.t.米（虽然老方法的工作也。）-Calculates the zeros of the first derivatives of Bessel function. Updates B
dB1
- 可以计算光纤与波导耦合的1db容差，只需要算出几组耦合值，然后倒入到matlab 程序中便可自动得到1db 容差。-calculate the tolerance of 1db，it is evry eazy for user to use。
N-NSA
- 采用经典的阴性选择算法N-NSA，用IRIS数据集对算法进行耐受和检测，检测器半径固定不变，检测效率不高，因此需要采用变半径的方法检测-The negative selection algorithm using the classical N-NSA, with the IRIS data set of algorithms for tolerance and detection, the detector radius is fixed, detection efficiency is no
ilim2
- this code uses inverse linear interpolation method to solve non linear equation but with the tolerance specified .
gauss-seidel
- The Gauss-Seidel technique is intuitive and easy to use on large or small problems. However, you should beware that the convergence tolerance must be carefully selected. Because the convergence criterion is based on the error between iterations,
adaline
- The Adaline is essentially a single-layer backpropagation network. It is trained on a pattern recognition task, where the aim is to classify a bitmap representation of the digits 0-9 into the corresponding classes. Due to the limited capabilities of