MatFemCal_v1_1.tar

Low density lattice decoder via non-parametric belief propagation

Book for predictive control

matlab实现三维MUSIC算法，帮助实现数字信号处理算法理解的入门(matlab-D MUSIC algorithm implementation, digital signal processing algorithms to help achieve understanding of the entry)

IIR设计及讲解，介绍了双线性变换法，巴特沃斯变换法及滤波器设计的程序和结果。(IIR design and explain, introduced bilinear transform, transform, and Butterworth filter design procedures and results.)

读取语音信号 对语音信号进行分帧 加矩形窗 傅立叶变换 并且实现倒谱(Read the speech signal of the voice signal framing plus Fourier transform rectangular window and realize cepstrum)

E-book for WiMAX_Technology

MATLAB实现能进行边缘检测，在生活中有很重要的应用(MATLAB implementation capable of edge detection, in life there are important applications)

KNN Classification Code

the threshold obtained in maximum entropy is optimized with particle swarm optimization. the result is good

This work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA) and Multiobjective Salp Swarm Algorithm (MSSA) for solving optimization problems with single and multiple objectives. The main inspiration of SSA and MSSA is the swarming behaviour of salps when navigating and foraging in oceans. These two algorithms are tested on several mathematical optimization functions to observe and confirm their effective behaviours in finding the optimal solutions for optimization problems.