rimm3

数字移动:图中的九个点上,空出中间的点,其余的点上任意填入数字1到8.1的位置固定不动,然后移动其余的数字,使1到8顺时针从小到大排列.移动的规律是:只能将数字沿线移向空白的点. (Digital Mobile: Figure in the nine points, empty out the middle point, the rest of the points fill any position of the numbers 1 to 8.1 fixed and then move the rest of the figures, and make 1-8 clockwise from small to large array . The law of movement is: can only move along the number of blank spots.)

压缩感知方法演示，1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构(1-D signal is compressed sensing to achieve (orthogonal matching pursuit method Orthogonal Matching Pursuit) number of measurements M> = K* log (N/K), K is the sparsity, N signal length, can be almost completely reconstructed)

OFDM_rece_matlab 的程序(OFDM_rece_matlab procedures)

最速下降法又称为梯度法，是1847 年由著名数学家Cauchy 给出的，它是解析法中最古老的一种，其他解析方法或是它的变形，或是受它的启发而得到的，因此它是最优化方法的基础。这里给出其Matlab源程序。(The steepest descent method, also known as gradient method, was in 1847 given by the famous mathematician Cauchy, it is the oldest analytical method one, other analytical method or its variants, or inspired by it obtained and therefore it is the basis for the optimization method. Here are its Matlab source.)

粒细菌群优化算法的matlab实现版本，在原有算法基础上作了必要的修正(Particle swarm optimization algorithm matlab bacterial realized version of the original algorithm made the necessary corrections on the basis of)

mo phong DC dc converter

the matlab code of other form of hill climbing algorithm.

使用有限元方法, 2D FEM计算热扩散方程. 三角形分割. (use of the finite element method, 2D FEM calculation of thermal diffusion equation. Triangle division.)

inverter designing is gigen with matlab simulation. It can be very useful for designers...

Photovoltaic solar power technology is being pushed to the forefront as a viable alternative source of renewable energy. Addressing the key design challenges involved in the development and implementation of these systems requires simulation tools capable of not only modeling and analyzing the behavior of diverse electronic components, but also the ability to combine them with the associated control algorithms and uate the full system performance. In this webinar, MathWorks engineers demonstrate how to use dynamic models to test and validate the performance of photovoltaic systems that include the PV arrays, the power converters and inverter electronics, and a variety of loading conditions, including a connection to the utility grid. The examples show how simulation can be used to perform design trade-offs and to develop and test control algorithms, including maximum power point tracking (MPPT).