LDPC

几个MATLAB实现的GUI界面，如多选菜单，可控制小球运动速度的用户界面，函数变换等主要共初学者参考使用！(several MATLAB GUI interface, such as more election menu control the ball movement speed of the user interface, the main function transform a total beginners reference!)

改进的育群算法，结合SVM用于语音识别,,识别率明显提高(Improved fertility swarm algorithm, combined with SVM for speech recognition)

2PSK的链路仿真，信号源的产生，PCM编码，调制解调以及加燥(2 psk link simulation signal source, PCM coding and modulation demodulation and dry)

it is matlab m file

海伦方程下的ＭＡＴＬＡＢ仿真细直导线的基本参数数据图(Helen equation under the thin straight wire MATLAB simulation of the basic parameters of the data graph)

it is a source code for clustering in MATLAB

The digital wideband receiver is a critical component in modern digital receivers. The receiver has the capability to expose and distinguish adverse signals contained within a large bandwidth (on the order of 1 GHz or more) of the radio frequency (RF) spectrum. The spectral estimator is a highly important design element imperative to the detection of the hostile signals within the intended bandwidth in order to fulfill mission requirements. This crucial element of an FFT-based digital receiver presented several challenges in the development of this research. The task at hand was to minimize the total hardware consumption contributed to the complex arithmetic operations while maintaining a high single signal spurious-free dynamic range (SFDR) and multi-tone instantaneous dynamic range (IDR).

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)

关于测向定位的gdop matlab程序仿真(Simulation of GDOP matlab program for direction finding and positioning)

请大家放心使用，本程序为用MATLAB语言描写的循环码。(Please rest assured to use, the procedures for the use of MATLAB language description of the cyclic code.)