实现光伏预测PV_BP_forest_qingtian

说明：  捷联惯导的轨迹发生器，matlab版本，生成比力，角速度等信息(SINS trajectory generator, matlab version, generated more than force, angular velocity and other information)

说明：  基于buck 变换的电源有缘功率因数校正(APFC using matlab )

Digital image processing, edge detection

用于PH分布参数估计，MAP参数估计的一些基本函数。(Distribution parameter estimation for PH, MAP parameter estimates some basic functions.)

说明：  1.1 背包问题 有一个徒步旅行者，已知他能承受的旅行背包的重量不超过a（kg）。设有n种物品可供他选择装入背包，这n种物品分别编号为1，2，…，n。其中第i种物品每件的重量为ai（kg），其使用价值（指一件第i种物品对旅行者来说所带来的好处的一种数量指标）为ci（i＝1，2，…，n）。问这位旅行者应如何选择携带这n种物品的件数，使得总价值最大？ (1.1 knapsack problem is a hikers. he is known to travel to withstand the weight of the backpack not exceed a (kg). N Species with articles for his choice loaded backpack, n product were numbered 1, 2, ..., n. I first of which product each ai of the weight (kg), its value (i refers to a section of the types of items travelers the benefits brought by a number of indicators) for the ci (i = 1, 2, ..., n). Asked how travelers who choose to bring this product to the n pieces, making the total value of the largest?)

基于极性LMS算法的对于多信号波达角方向估计，基于32单元线阵(LMS algorithm based on the polarity of the multi-signal angle of arrival direction is estimated, based on the 32-cell linear array)

Matlab code that generates a random sample of bits, encodes it using Manchester coding and generates the PSD for comparison against analytical results

光子晶体中吸收介质，其等效介电函数的虚部与实部的共振曲线模拟。(Dielectric absorption in photonic crystals, the resonance curve of the imaginary part of the dielectric function and the real part of the simulation. )

用mallat分解与重构算法实现一维信号的分解和重构(Mallat decomposition and reconstruction algorithm used to achieve one-dimensional signal decomposition and reconstruction)

MATLAB implementation of SPIHT (without Arithmatic coding stage). ％ Performance evaluation : this toolbox VS. SPIHT ％ Test image: lena512.raw ％ bpp SPIHT(dB) This code(dB) ％ 0.1000 29.8107 29.3202 ％ 0.2000 32.7202 32.2514 ％ 0.3000 34.5479 34.0331 ％ 0.4000 35.8422 35.4857 ％ 0.5000 36.8623 36.5939 ％ 0.6000 37.6650 37.3759 ％ 0.7000 38.2581 38.0491 ％ 0.8000 38.9390 38.7058 ％ 0.9000 39.5218 39.3437 (MATLAB implementation of SPIHT (without A rithmatic coding stage). Performance evalua% tion : this toolbox VS. SPIHT%% Test image : lena512.raw%% bpp SPIHT (dB) This code (dB)% 0. 1000 29.8107 32.7202 0.2000 29.3202% 32.2514% 0.3000 0.4000 34.5479 34.0331% 35.8422 35.485 7% 0.5000 0.6000 36.8623 36.5939% 37.6650 37.3 759% 38.0491% 0.7000 0.8000 38.2581 38.9390 38 .7058 0.9000 39.5218 39.3437%)