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work
- QR factorization of an m × n matrix A with m ≥ n is a pair of matrices A = QR
NoiseGenerator
- 本实验要求根据课本中给出的高斯噪声和椒盐噪声的概率分布的形状和参数编写两个通用程序分别给一个图像中添加高斯噪声和椒盐噪声。高斯噪声是n维分布都服从高斯分布的噪声，椒盐噪声是图像中经常见到的一种噪声是一种随机的黑点或者白点。在实验中通过它们对应的概率密度函数得到噪声分布函数进而与原图像进行叠加产生出对应的噪声图像-Textbooks in this experiment are given under the Gaussian noise and salt and pepper noise in
SENSEaliasingmatrix
- 在SENSE成像中如何将中间图像转化为最终图像，就要用到这个程序-Using specfied sampling vector to generate a 2D aliasing matrix. The sampling vector is a vector of n-entries of either 0 or 1, where 0 indicates no k-space line acquisition and 1 indicates k-space line is acquired in
SHIYAN_3
- 利用M函数仿真扩频通信系统。6个用户的CDMA的同步通信系统，每个用户利用L＝31的Gold码，进行扩频，信道为AWGN信道，接收端利用匹配滤波器进行检测。绘出当N＝10000个发射比特下，SNR＝0：15（dB）时的误码率曲线。 -M function simulation using Spread Spectrum Communication System. 6 simultaneous users of CDMA communication system, each user of t
3
- 典型时间序列模型分析 设有ARMA(2,2)模型， X（n）+0.3X(n-1)-0.2X(n-2)=W(n)+0.5W（n-1）-0.2W(n-2) W(n)是零均值正态白噪声，方差为4 （1）用MATLAB模型产生X（n）的500观测点的样本函数，并会出波形； （2）用你产生的500个观测点估计X（n）的均值和方差； （3）画出理论的功率谱 （4）估计X（n）的相关函数和功率谱 -Analysis of typical time series model w
zoom
- 简单的图像缩放程序 先读入图像矩阵A zoom（A,n），n为缩放倍数-Simple image scaling procedure to read into the image matrix A zoom (A, n), n for the scaling multiplier
lagrange
- 1.n个节点分段Lagrange插值多项式； 2.使用格式y=lagrange(x0,y0,x,k)； 3.输入项x0为n维插值节点向量，y0为n维被插函数值向量； 4.x为m维插值点向量，k为分段插值多项式次数，不超过3，缺省为k=1； 5.输出y为插值点x处的函数值；- 1.n a sub-node Lagrange interpolation polynomial 2. The use of the format y = lagrange (x0, y0,
doolittle
- 1.n个节点分段Lagrange插值多项式； 2.使用格式y=lagrange(x0,y0,x,k)； 3.输入项x0为n维插值节点向量，y0为n维被插函数值向量； 4.x为m维插值点向量，k为分段插值多项式次数，不超过3，缺省为k=1； 5.输出y为插值点x处的函数值；- 1.n a sub-node Lagrange interpolation polynomial 2. The use of the format y = lagrange (x0, y0,
FastWalshHadamardTransform
- The function implement the 1D sequency(Walsh) ordered fast Walsh-Hadamard transform which can be used in signal processing, pattern recongnition and Genetic alogorithms. This algorithm uses a Cooley-Tukey type signal flow graph and is implemented
Antenna_and_EM_Modeling_with_MATLAB_Sergey_N_Maka
- Antenna and EM Modeling with MATLAB - Sergey N. Makarov (.m Files).rar-Antenna and EM Modeling with MATLAB- Sergey N. Makarov (.m Files).rar
control_DC_MOTOR
- The advantage of static controllers i n their simple structure, however, their performance is not good. Therefore, in fact, the fundamental fuzzy controller is often combined with conventional ones (e.g., PID controller) to create a dynamic fuzzy con
Signal_Processing
- n多文章全部是IEEE上的关于多速率信号处理的内容，包括均匀和非均匀调制滤波器组的应用。其中cmfb.m为matlab文件，是A Kaiser Window Approach For The Design Of Prototype Filters Of Cosine Modulated Filterbanks的源代码，是老外给的M文件，很有参考价值。-n number of articles on all of the IEEE Signal Processing on the multi-ra
generate_random
- Matlab下生成给定分布律的随机数的程序。包括采用余数法，产生一个N(0,1)正态分布随机数等。-generate the random number you give the rules.
CordFitIdeal
- 坐标转换：已知n个点在a,b两坐标系中的坐标值，采用优化方法求转换关系（标准的7参数转换关系，x,y,z的移动，x,y,z的旋转，以及缩放系数）ps:附带空间旋转公式。input: points in A and B。 output：transfer relationship （u,v,w: shit of x,y,z。 a,b,g: rotate of x,y,z 。k：zoom）-Coordinate Transfer:A,B are tow coordinates. This progra
ARMAKalman
- Several functions for evaluating the exact negative log-likelihood of ARMA models in O(n) time using the Kalman Filter
MATLAB
- FFT地址倒置Matlab程序，可通过调用得到2的N次方地址倒置-m code
MahSom_v1
- This code is the implementation of Mahalnobis SOM algorithm published in this article. Face recognition under varying illumination using Mahalanobis self-organizing map S Aly, N Tsuruta, RI Taniguchi - Artificial Life and Robotics, 2008 - Springe
ma_CRC_files
- decoder of Hamming Use a [7,4] Hamming code. m = 3 n = 2^m-1 k = n-m parmat = hammgen(m) Produce parity-check matrix. trt = syndtable(parmat) Produce decoding table. recd = [1 0 0 1 1 1 1] Suppose this is the received vector. syndrome =
matlab-n-net-tl
- 神经网络是单个并行处理元素的集合，我们从生物学神经系统得到启发。在自然界，网 络功能主要由神经节决定，我们可以通过改变连接点的权重来训练神经网络完成特定的功能-A single neural network is a collection of parallel processing elements, we have been inspired by biological nervous system. In nature, the network function of a decisi
contraharmonic
- this file contains the implementation of the "contraharmonic filter" using the basic formula of finding contraharmonic mean achieved through the use of for loops. contraharmonic filter can remove both -SALT n PEPPER noise from the image but not sim