multipath

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

a single layer perceptron ,developed by matlab

HI THERE AM HERE HOW ARE YOU DOING

finite element point colocation

OFDM同步Ls算法的MATLAB仿真程序，希望对你有帮助(OFDM synchronization Ls algorithm MATLAB simulation program, want to help you)

searching for genetic algo in matlab for tsp

利用重心法提取光条中心,激光光条中心提取(light stripes center extraction)

关于固高科技有限公司一级倒立摆lqr算法的连续系统离散系统matlab源程序及仿真(On a solid high-tech Co., Ltd. inverted pendulum system LQR algorithm for discrete-time systems and simulation source matlab)

matlab中线性系统的模型降阶-Pade降阶模型源码(matlab in the model reduction of linear systems Reduced-order model of source-Pade)

- Stone column play important role in infrastructure, improving soft soil. The behaviour of stone column, however, remains far well understood