shuangbai

MMSE最小均方误差均衡仿真 可以方便的运行(MMSE matlab)

先进PID控制matlab仿真，第二版，刘金坤(fuzzpid PID)

相位编码信号的波形的生成，并且其模糊函数的计算，和模糊函数的图形。(Phase coded waveform generation, and its ambiguity function calculation, and the ambiguity function of the graphics.)

Critical Path Method for Project Time Estimation. Implemented in MATLAB.

介绍了matlab/simulink在FPGA中的应用，将matlab/simulingk和FPGA结合起来，对仿真具有一定的参考价值。(Introduction of the matlab/simulink in the FPGA application, the matlab/simulingk and FPGA combination for the simulation has a certain reference value.)

The following Matlab project contains the source code and Matlab examples used for continuous morlet wavelet transform. For documentation please refer to: http://arxiv.org/abs/0706.0099

带色彩恢复的多尺度视网膜增强算法（MSRCR）的原理、实现及应用。 (Multi-scale recovery of the retina with color enhancement algorithms (MSRCR) principle, implementation and applications.)

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

Sepic buck boost converter closed loop

这个代码能够比较精确地实现图像中道路区域的分割与提取。(This code addresses this question by decomposing the road detection process into two steps: the estimation of the vanishing point associated with the main (straight) part of the road, followed by the segmentation of the corresponding road area based upon the detected vanishing point. The main technical contributions of the proposed approach are a novel adaptive soft voting scheme based upon a local voting region using high-confidence voters, whose texture orientations are computed using Gabor filters, and a new vanishing-point-constrained edge detection technique for detecting road boundaries.)