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滤波器实例，matlab的，学完动态信号分析的作业，华南理工大学研究生课程(Filter instance, matlab, completion of the job of the dynamic signal analyzer, South China University of Technology postgraduate courses)

STK编程手册之Connect编程，利用MATLAB、VC或者Perl等实现对STK的控制。(STK Connect programming manual programming, use of MATLAB, VC, or Perl, etc. to achieve the control of STK.)

维纳滤波法语音增强，为函数文件，需要另外一个脚本调用，形参格式参照文件第一行。(Wiener filtering speech enhancement, as a function of the file, you need to call another script, parameter format, refer to file the first line.)

ga code for ucp programm using ga tool extracted

一连续平稳的随机信号x(t)，自相关函数RX(t)=e-/t/，信号x(t)为加性噪声所干扰，噪声是白噪声，测量值的离散值Z(k)为已知，TS=0.02s。 -3.2，-0.8，-14，-16，-17，-18，-3.3，-2.4， -18，-0.3，-0.4，-0.8，-19，-2.0，-1.2，-11，-14，-0.9，0.8，10，0.2，0.5，-0.5，2.4，-0.5，0.5，-13，0.5，10，-12，0.5，-0.6，-15，-0.7，15，0.5，-0.7，-2.0，-19，-17，-11，-14。 自编卡尔曼滤波递推程序，估计信号x(t)的波形。(A continuous stationary random signal x (t), the autocorrelation function RX (t) = e-/ t /, the signal x (t) is additive noise of the interference, noise is white noise, the measured value of the discrete values ​ ​ Z (k ) are known, TS = 0.02s. -3.2,-0.8,-14,-16,-17,-18,-3.3,-2.4,-18,-0.3,-0.4,-0.8,-19,-2.0,-1.2,-11,-14 ,-0.9,0.8,10,0.2,0.5,-0.5,2.4,-0.5,0.5,-13,0.5,10,-12,0.5,-0.6,-15,-0.7,15,0.5,-0.7,-2.0,-19,-17,-11,-14. Self Kalman filter recursive procedure, the estimated signal x (t) waveform.)

Particle Swarm Optimization Simulation

这是一个人脸识别的matlab例程，可以运行(here is an example of facerecognize)

HHT变换之END分解程序，以及详细的例子--power system power quality disturbance(HHT and EMD and examples about power quality)

一个结合经典的弹簧阻尼系统与卡尔曼滤波的例程,含有word报告说明(Example for a classical Spring+Damp system combined with kalman filter. WORD report appended)

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).