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1st
- Simulink工具编写代码(MATLAB Function方式)，产生一单径瑞利信道，其多普勒谱为经典谱，其中移动速率为120km/h，含理论描述多普勒经典谱-Simulink tools for writing code (MATLAB Function mode) to produce a single path Rayleigh channel, the Doppler spectrum for the classical spectrum, where mobile speed of
Fraclab-1.0E
- Matlab中的MFDFA工具箱，非线性时序分析，预测，H指数，维度。-Muti-fractal Detrended Fluctuation Analysis (MFDFA) Toolbox in Matlab
mds_ver7.1
- 这是《Robust control design with matlab》书的源码，对照学习，很有帮助-This collection contains M-files intended for design of the Mass/Damper/Spring control system using the newly available functions from Robust Control Toolbox,version 3. Descr iption of the system an
fir
- 用各种窗函数设计FIR数字滤波器。 分别用矩形窗和Hamming窗设计线性相位FIR低通滤波器。要求通带截止频率，单位脉冲响应h(n)的长度N=21，绘出h(n)及其幅频响应特性曲线。 -Window function with a variety of FIR digital filter design. Were rectangular window and Hamming window design of linear phase FIR low-pass filter. Req
horn-schunck
- 估计光流的经典算法H&S，经测试可以使用。-Estimates the optical flow for standard test sequences using H&S algorithm
leach
- leach协议簇头选择算法的改进及仿真 在改进的LEACH．H协议在簇头节点的选举过 程中，充分考虑了簇头节点剩余能量因素，设定了簇头的能量阀值，防止了低能量的节点成为簇头。在此基础上引 进簇头调整过程，该过程通过排除紧密邻居簇头和增加必要的簇头，在一定程度上解决了LEACH协议存在的问题， 从而达到均衡网络能量消耗，延长生存期的目的。网络仿真证明了新算法的可行性。 -An Improved Algorithm for Selecting Cluster-heads in L
steerGaussmatlabcode
- 关于Steerable filtering decomposition 的matlab程序,- STEERGAUSS Implements a steerable Gaussian filter. This m-file can be used to evaluate the first directional derivative of an image, using the method outlined in: W. T. Freeman and E. H. Adelson
robust-controller-LMI
- 基于LMI工具箱的H无穷鲁棒输出反馈控制器设计-hinf robust controller based LMI toolbox
ldpc
- ldpc码在AWGN信道下的性能仿真。包括geth.m,getG.m,H2G.m,decode.m,BER.m按传统的编码方案编码，生成H矩阵后转化为G矩阵，编码后送入高斯信道。仿真得到BER性能-ldpc codes in the AWGN channel performance simulation. Including geth.m, getG.m, H2G.m, decode.m, BER.m coded according to the traditional encoding sch
CAVLC
- H.264熵编码简介，其中，包括CAVLC，CABAC-H.264 entropy coding introduction including CAVLC,CABAC
Strapdown
- 一、数据说明： 1：惯导系统为指北方位的捷连系统。初始经度为116.344695283度、纬度为39.975172度,高度h为30米。 初速度为v0=[0.000048637 0.000206947 0.007106781]，飞行高度不变。 2：jlfw中为600秒的数据，陀螺仪和加速度计采样周期分别为为1/80秒和1/80秒。 3：初始姿态角为[0.120992605 0.010445947 91.637207]（俯仰，横滚，航向,单位为度）, jlfw中保存的为比力信
LDPC_H_Construction
- LDPC码H矩阵构造的三种尝试，包括比特填充法、PEG法和近似最短环路法（ACE）的实践-This document includes three methods to implement LDPC H matrix construction. Please enjoy them!
mimo-bcjr_prepro
- 用matlab对多天线技术（MIMO）进行仿真，其中检测用KBEST算法。对信道H进行MMSEQSORT分解。后接BCJR解码器-Using matlab language to simulate the multi-input multi-output system. KBEST algorithm is used for detection, then followed by BCJR decoder
LDPC
- ldpc编码，随机生成H矩阵，LLR-BP算法译码，有我详细的注解，非常详尽-ldpc coding, randomly generated H matrix, LLR-BP decoding algorithm, with my detailed notes, very detailed
SAR POLSAR
- 关于SAR和极化SAR信息处理的好程序。Cloude.m——经典的Cloude极化分解方法中H/alpha参数的求解方法；classes.m——Cloude极化分解方法；myCFAR.m——三种SAR图像目标检测的恒虚警处理方法。全局CFAR，局部CFAR，指数CFAR-SAR and POLSAR information processing codes. Cloude.m-- H/alpha parameter ofclassic Cloude polarization decomposit
dec_kalman1
- Matlab code for a decentralized Kalman filter as presented by: B.S. Rao, H.F. Durrant-Whyte,” Fully decentralised algorithm for multisensor Kalman filtering”
MccDemo3
- Matlab和VC6.0混合编程，实现将matlab绘图窗口嵌入到vC程序中。 1、首先将压缩文件中的matlab部分，编译，命令如下：mcc -W cpplib:libmccdemo3 -T link:lib mccdemo3.m 2、将编译得到的.dll,.lib,.h,.ctf文件拷贝到vC工程文件夹下 3、编译压缩文件中的vC部分，运行即可。-err
fpe
- This function calculates Akaike s final prediction error ％ estimate of the average generalization error. ％ ％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the ％ final prediction error estimate (fpe), the effective number of
work
- 包含DVB-T标准中的内交织，内编码，卷积交织，和基4FFT 1024。所有程序为MATLAB实现，特别推荐FFT旋转因子求法。-Includes DVB-T standard within intertwined, with coding, Convolutional Interleaver, and base 4FFT 1024. MATLAB realization of all the procedures, in particular, recommended rotating fac
FRFT
- FRFT时频变换代码（参考算法：H.M. Ozaktas, M.A. Kutay, and G. Bozdagi.Digital computation of the fractional Fourier transform.IEEE Trans. Sig. Proc., 44:2141--2150, 1996.）-FRFT transform time-frequency code (reference algorithm: HM Ozaktas, MA Kutay, and G. Bozda