FillInWrap

基于粗细定位相结合的车牌识别方法，有别于一般的车牌识别算法，有兴趣的可以研究一下哈～(Based on the combination of coarse and fine positioning plate recognition, license plate recognition algorithm is different from the general, interested can look at Ha ~)

Variable Neiborhood PSO Algorithm

说明：  本工具包给出了微分方程求解方法中的DG方法的程序。DG方法是一门新的数值解法，在工程中有广泛应用。(The kit gives the DG method for solving differential equations method of procedure. DG is a new numerical method, is widely applied in engineering.)

图像的几何矫算法及其用MATLAB实现的代码，内容全面，包含图片(The geometry of the image by algorithm and MATLAB code, comprehensive, including pictures )

瑞利衰落信道下无分集，2分集，4分集，8分集的qpsk调制并与awgn信道对比(qpsk modulation)

RELAX算法，参数化谱估计（线谱）_RELAX方法(RELAX algorithm, parametric spectral estimation (line spectrum) _RELAX method)

说明：  针对低信噪比环境下基于能零比的端点检测方法准确率低的问题,提出了一种结合谱减法和短时零熵法的端点检测方法。首先通过功率谱减法对带噪语音进行降噪处理,然后结合短时平均过零率特征与谱熵特征,构造出一种新的语音参数,即短时零熵,最后运用双门限算法进行端点检测。实验结果表明该方法在复杂噪声环境下具有良好的端点检测性能,降低了检测的误判率。(To solve the problem of low accuracy of endpoint detection method based on energy zero ratio in low SNR environment, an endpoint detection method combining spectral subtraction and Short-term zero entropy method is proposed. Firstly, the noise is reduced by power spectrum subtraction, then a new speech parameter, short-time zero entropy, is constructed by combining the short-time average zero crossing rate and spectral entropy. Finally, the double threshold algorithm is used for endpoint detection. The experimental results show that this method has good performance of endpoint detection in complex noise environment, and reduces the rate of detection error.)

说明：  利用人工势场法进行移动机器人的路径规划的matlab程序。包含具体的讲解(Matlab program of path planning of mobile robot using artificial potential field method. Contains specific explanations)

使用matlab对两幅图像进行匹配，效果很好，值得参考！(Using matlab to match two images of the good results, it is also useful!)

Simulink工具编写代码(S-Function 方式)，产生一单径瑞利信道，其多普勒谱 为经典谱，其中移动速率为 120km/h。(Simulink tools to write code (S-Function mode) to generate a single path Rayleigh channel, the Doppler spectrum For the classical spectrum, where the rate of movement of 120km/h.)