energy-detector

matlab绘图函数集手册，非常实用。适合于初学者，也适合于有一定基础的matlab用户查阅。(A handbook of set of drawing function in matlab, it is very useful for beginner, also for the users having some basis on usage of matlab.)

考虑载波的qpsk信号在瑞利信道上的仿真(consider Carrier qpsk Rayleigh channel signal simulation)

第三个例子滤波应用程序，可以了解粒子滤波的工作原理(third example filtering application that can understand the particle filter Principle)

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

matlab源码，实现利用霍夫变换的直线检测(matlab source code, line detection using Hough Transform)

计算系统的颤振时间曲线,包括位移、速度、控制面偏转(Computing systems flutter curve, including displacement, velocity, control surface deflection)

雷达地杂波仿真，根据空时自适应信号处理原理，对雷达杂波进行了仿真。(radar cluster simulation)

OFDM系统性能分析，参数设定，原理验证，通过该程序更清楚的知道系统性能。(Principle of OFDM system performance analysis, parameter setting and verification, by the program more clearly know the performance of the system.)

对图像进行分块编码，总共分四块，在matlab7.0中验证可行(Block coding of images, a total of four points in the matlab7.0 verify possible)

能够提取旋转机械信号特征的全息谱分析程序(matlab programs of holospectrum method for feature extraction of signals )