CatastrophicCodes

能量检测,主要是看如果根据虚警概率得到门限，然后进行判决-enengy detection (Energy detection, mainly to see based on the probability of false alarm threshold, and then make a judgment-enengy detection)

matlab传递矩阵法临界转速计算。很实用(matlab critical speed of the transfer matrix method calculation. Very practical)

rake接收机仿真，Rake接收机是一种能分离多径信号并有效合并多径信号能量的最终接收机。瑞克接收的过程相当于用一个钉耙将各个多径信号“耙”出来，然后加以收集。(rake receiver simulation, Rake receiver is a multipath signals can be separated and the effective integration of multi-path signal energy of the final receiver. Rick received the equivalent of using a rake to process each multipath signal " rake" out, and then collecting them.)

利用角度的不同进行识别，两图像的模式识别范畴(Using the perspective of the different recognition, two images of the field of pattern recognition.)

完全实现反褶积运算 比库函数更能体现褶积运算的推导过程(Fully realized deconvolution operations can better reflect the derivation of convolution operations than library functions.)

Matlab pfile which subsamples a boundary by assigning each of its points to the grid node to which it is closest.

本例演示：如何依靠图形窗 UserData 属性在递归调用中传送用户控件的图柄，保证回调动作正确执行。(demonstration of the cases : how to rely on graphics window UserData attribute in the recursive call to transfer control of the map user handles, callback action to ensure correct implementation.)

低复杂度Turbo码译码的并行实现的研究(Low Complexity Turbo Decoding of parallel implementation of)

说明：  计算信号关联维数(Calculation of signal correlation dimension)

第一步是计算输人信号单边功率谱密度（ESD）。使用快 ％速傅里叶（FFr）算法将信号从时域转换到频域。因为FFr算法的输出是离散谱，而这 ％里我们需要的是连续谱，因此需要引人不同的比例因子来实现从离散谱到连续谱的转换。 ％在第二步中，我们利用迭代算法计算出相对于特定阂值的ESD的最高和最低频率，从而 ％估算出被检测信号所占用的带宽。这种算法同时适用于基带信号和已调制信号。最后， ％在第三步中，我们给出了输出图形的原代码。(The first step is calculating the input signal unilateral power spectral density (ESD). The use of fast Fourier speed (FFr) algorithm for the signal conversion from time domain to frequency domain. FFR algorithm because the output is a discrete spectrum, which we need is a continuous spectrum, so the need for food of different scale factor to achieve from the discrete spectrum to continuous spectrum conversion. In the second step, we use iterative algorithm to calculate a specific threshold in relation to the ESD of the highest and lowest frequency, thus estimated to be occupied by the signal detection bandwidth. This algorithm applies to both baseband signal and modulation signals. Finally, in the third step, we give the graphical output of the original code.)