LMI_tool_introduction

The sparsity of signals and images in a certain trans-form domain or dictionary has been exploited in many applications in signal and image processing. Analytical sparsifying transforms such as Wavelets and DCT have been widely used in compression standards. Recently, synthesis sparsifying dictionaries that are di-rectly adapted to the data have become popular especially in appli-cations such as image denoising, inpainting, and medical image re-construction.

Support Vector Machine (and Statistical Learning Theory) Tutorial by Jason Weston

Boost电路实现光伏阵列的最大功率跟踪(Boost circuit photovoltaic array maximum power point tracking)

MATLAB用十字标记指定规则图形的中心位置(MATLAB language, through the cross mark specified rules graphic center position)

Computing the BER for MIMO system with MINIMUM MEAN SQUARE ERROR Equalization in a Rayleigh fading channel.

Book describing the way of programming in c and c++

matlab遗传算法求解多目标问题，flowshop调度问题(matlab genetic algorithm for multi-objective problems, flowshop scheduling problem)

GUI设计蜘蛛爬行，针对互相追逐的蜘蛛，建立他们的爬行轨迹，同事，计算相遇时间等的Matlab程序文件。(GUI design spider, spider chasing each other, build their crawling track, colleagues calculated to meet the time of the Matlab program file.)

PSO-LSSVM负荷预测程序,程序非常的详细规范，适合初学者(PSO-LSSVM Load Forecast)

使用Matlab Gui实现的数字信号处理常用算法，包括卷积，FFT，FIRIIR数字滤波器设计，最佳滤波器，自适应滤波，卡尔曼滤波等(Implemented using the Matlab Gui commonly used digital signal processing algorithms, including convolution, FFT, FIRIIR digital filter design, the best filters, adaptive filtering, Kalman filtering, etc.)