lomb

设计Chebyshev I型滤波器 [b,a]=zp2tf(z,p,k) 转换为传递函数形式 [H,w]=freqs(b,a,n) 求得传递函数的频率特性 magH2=(abs(H)).^2 求得传递函数的幅频响应(matlab code)

对4个目标的雷达回波信号进行了建模，完整地仿真了MTI、MTD和恒预警，对雷达信号处理有帮助。(this program simulates 4 targets s radar Echo-Signal,displays MTI、MTD process.)

支持向量机数据训练程序基础的知识希望对大家有所帮助(Support Vector Machine data training program)

Matlab图像处理基本操作及摄像机标定(Calibration of Matlab camera and image processing basic operation)

matlab实现huffman编码 1. norm2huff.m (encoder function) 2. huff2norm.m (decoder function) 3. frequency.m (private function) 4. huffcodes2bin.m (binary rapresentation of huffman codes) 5. huffman_bench1.m (benchmark) 6. huffman_demo1.m (demo file) 7. huffman_demo2.m (demo file) 8. huffman_test1.m (test file) 9. huffman_test2.m (test file) 10. huffman_docs.zip (documentation) 11. Disclamer.txt (this is the disclamer)(huffman coding matlab realize 1. norm2huff.m (encoder function) 2. huff2norm.m (decoder function) 3. frequency.m (private function) 4. huffcodes2bin.m (binary rapresentation of huffman codes) 5. huffman_bench1.m (benchmark ) 6. huffman_demo1.m (demo file) 7. huffman_demo2.m (demo file) 8. huffman_test1.m (test file) 9. huffman_test2.m (test file) 10. huffman_docs.zip (documentation) 11. Disclamer.txt (this is the disclamer))

Converts geodetic coordinates in WGS84_LLA to cartesian coordinates in WGS84_XYZ. Vectorized version.

说明：  巴特沃思滤波器matlab程序，是本人提交的作业．(Butterworth filter Matlab process, I submit work.)

说明：  注水算法的简单应用程序，通过简单的实例实现注水算法(water fillling program)

= lorentzfit （× ） lorentzfit 符合输入（× ）与罗伦兹功能的形式 “ （× ）= 1 / （（- 2）^ 2 + 3号） 输入 ：因变量值[ 是] （× ） × ：独立变量的值 输出功率 一：名单[ 1 2 3 ] 罗伦兹参数 示例 × = - 16:0.1:35 = 19.4 / （（- 7）^ 2 + 15.8）+ randn （大小（× ）/ 10 ） = lorentzfit （× ） 杰瑞德·威尔斯 11 / 15 / 11 杰瑞德威尔斯[ 点] [在] [ 点] 教育公爵(a = lorentzfit(y,x) LORENTZFIT fits the input Y(X) with a Lorentzian function of the form Y (X) = A1./((X- A2).^2+ A3) INPUTS Y : Dependent variable values [Y(X)] X : Independent variable values OUTPUT A : List of Lorentzian parameters [A1 A2 A3] EXAMPLE x =-16:0.1:35 y = 19.4./((x- 7).^2+ 15.8)+ randn(size(x))./10 a = lorentzfit(y,x) Jered R Wells 11/15/11 jered [dot] wells [at] duke [dot] edu)

本实验在对 MUSIC 算法进行分析的基础上 ,设计了 MUSIC 算法的仿真程序 ,对不同情况下该算法的性能进行仿真分析(In this study, the MUSIC algorithm based on the analysis, design of the MUSIC algorithm simulation program, under different circumstances the performance of the algorithm simulation and analysis)