MTV-play-GUI

To read the handover/softhandover in 3G communication

WiMax系统的方针程序，里面包含按IEEE.802.16e的协议编写的各种信道环境，适合对WiMax系统的性能仿真(WiMax systems approach procedures, which included preparation of an agreement by IEEE.802.16e various channel environment, suitable for WiMax System Performance Simulation)

自适应均衡算法，常模算法，固定步长，变步长盲均衡算法(Adaptive equalization algorithms, the norm algorithm)

《雷达系统设计MATLAB仿真》第一版源代码和代码生成 的图像，可以和VC++混合编程使用(" Radar system design MATLAB simulation," the first edition of the source code and the code generated images, you can use hybrid programming and VC++)

噪声中正弦信号的频谱分析，包括不同周期不同长度不同信噪比情况(Sinusoidal signal in the noise spectrum analysis)

提出了一种新的宽带DOA估计方法:频域子空间正交性测试方法(TOFS:Test of orthogonality of frequency sub- space)。该方法通过同时测试频域信号共同带宽内各频段噪声子空间与阵列流形之间的正交性来进行DOA估计。与宽带相干信号子空间方法不同,TOFS方法不需要任何初始值的预估及聚焦操作。与宽带非相干信号子空间方法也不同,TOFS方法同时测试各频段噪声子空间与阵列流形之间的正交性。本文仿真了TOFS与IMUSIC、CSSM、TOPS的性能比较。仿真结果表明TOFS方法在中等信噪比以上时有较好的性能,且避免了TOPS方法中常出现的伪峰。 (Proposed a new broadband DOA estimation methods: subspace orthogonal frequency domain test methods (TOFS: Test of orthogonality of frequency sub-space). The method by simultaneously testing the frequency domain signal bandwidth of each band noise common sub-orthogonality between space and the array manifold to be DOA estimates. And broadband coherent signal subspace different methods, TOFS method does not require any initial estimate and focusing operation values. And broadband incoherent signal subspace methods are different, TOFS method for simultaneous testing of each band orthogonal noise subspace and the array manifold between. This paper compares the performance TOFS simulation and IMUSIC, CSSM, TOPS is. Simulation results show that the method TOFS better performance when more moderate SNR and spurious peaks TOPS method avoids the often occur.)

一种软件无线电核心算法的演示,包含了傅里叶变换,降噪滤波,常用调试解调等(Core algorithm of a software radio demo, contains the Fourier transform, noise reduction filtering, demodulation and other common debugging)

说明：  C-means一个简单完整的程序，供大家看一下，有不完善的地方，请多多指教(C-means a simple and complete procedures for Members to see, any problems, please exhibitions)

spwm using matlab simulink model

compressive sensing 新版本MMA14( This is an example using the Subspace Pursuit Algorithm of Wei Dai and Olgica Milenkovic "Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity" and the Re-weighted algorithm of Rick Chartrand and Wotao Yin "Iteratively Reweighted Algorithms for Compressive Sensing" In order to run this example you need to install all these m.files in the same directory and type trialSP2 at the prompt. Written by Igor Carron http://nuit-blanche.blogspot.com Creative Commons Licence with attribution)