MATLAB

说明：  APIT定位算法的matlab程序，APIT是一种经典的无线传感器网络定位算法。(APIT localization algorithm matlab program, APIT is a classic location algorithm for wireless sensor networks.)

基于非下采样轮廓波的边缘提取文献。很好的参考价值(Based contourlet edge extraction literature nonsubsampled. Good reference value)

document about matlab code solar power

eps的东西，做得挺好的 eps的东西，做得挺好的(eps thing, doing something very good eps, doing very good)

1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图(1. Produce sine wave, square wave, and the white noise signal with Matlab, and their time-domain waveform display 2. FFT transform, display each spectrum, where the sampling rate, frequency, length optional data 3. RMS to make maps of the three signals, power spectrum, as well as the number of RMS map 4. Restored by inverse Fourier transform IFFT signal and displays the time domain waveforms sinusoidal signal recovery)

Rake reception using matlab

这个说明倒不是说明函数的功能，只是声明一下函数中出现的问题。 shortest()函数没有问题，在secshortest中我希望只得到一条次短路（或几条roadcost()值相同的次短路），结果却出来好几条，我仔细检查了一下程序，应该没有什么问题。 因此在使用时，要得到次短路，只能用roadcost()函数分别求一下各条路的权重和，找到最小的。 有些奇怪 (Note that this is not the function of function, but a statement about the problems in function. shortest () function there is no problem, I hope that in secshortest only a short time (or several roadcost () times the value of the same short-circuit), the result is several out, I carefully examined the process, it should be no problem. Therefore, in use, to be at a short circuit can only be used roadcost () function, respectively, for some of the weight of the road and find the smallest. Some strange)

FMCW Radar Signal processing including Music Beamforming

好用的matlab实现凸优化工具包，适用于压缩感知重构过程(Easy to use matlab to achieve a convex optimization tool kit for compressed sensing reconstruction process)

这个Matlab程序实现最速下降算法。最速下降法是一种最基本的算法，它在最优化方法中占有重要地位.最速下降法的优点是工作量小，存储储变量较少,初始点要求不高；缺点是收敛慢，最速下降法适用于寻优过程的前期迭代或作为间插步骤，当接近极值点时，宜选用别种收敛快的算法. (The Matlab program to achieve the steepest descent algorithm. Steepest descent method is a basic algorithm, it occupies an important position in the optimization method. Advantage of the steepest descent method is the small amount of work, less storage reservoir variables, the initial point less demanding drawback is slow convergence, the steepest descent method for the optimization process of the early iterations, or as inserted steps are advised to use other kinds of fast convergence of the algorithm when close to the extreme point.)