tezhengzhi

说明：  根据滤波器指标选择合适的窗函数，计算窗函数的长度N，调用MATLAB函数fir1设计一个FIR低通滤波器。并编写程序，调用MATLAB快速卷积函数fftfilt实现对xt的滤波。绘图显示滤波器的频响特性曲线、滤波器输出信号的幅频特性图和时域波形图。  (Select the appropriate indicators according to filter window function, calculate the length of window function N, called MATLAB function fir1 design a FIR low-pass filter. And programming, call MATLAB functions fftfilt achieve fast convolution filtering xt. Graphics filter frequency response curve, the filter output signal amplitude and frequency characteristics of maps and time-domain waveform.  )

快速的2D/3D区域生长算法，通过对邻近像素进行优先级排队进行加速，效果优于matlab本身的区域生长算法(Native Matlab implementations of region growing algorithms are usually quite slow, especially for 3D input data. This submission is a mex implementation of a 3D/2D region growing algorithm. The region growing process is further accellereated by using priority queues for the neighbourhood pixels.)

Active contours or snakes" can be used to segment objects automatically. The basic idea is the evolution of a curve, or curves subject to constraints from the input data. The curve should evolve until its boundary segments the object of interest. This framework has been used successfully by Kass

说明：  matlab的bp神经网络算法以及准确率的计算，训练函数采用lm算法(Matlab bp neural network algorithm and accuracy calculation, training function using LM algorithm)

用MATLAB语言编写的pade近似程序，本人保留版权(the analysis of pade)

在ofdm系统中采用MMSE(最小均方误差)均衡的源代码(in OFDM systems using MMSE (MMSE) balanced source code)

这是一本多方位的数据源代码，有统计分析、Matlab仿真等(These codes are from a famous book which tell us how to solve some diffcult questtions.)

小扰动偏导求解,利用matlab的符号运算(small pertub)

说明：  交通视频采集后的图像预处理。由于硬件及环境等因素的影响，摄像头提取的图像不可避免地包含噪声，图像的质量会受到不同程度的失真。因此，我们要对采集到的视频序列进行图像的预处理。 车辆检测算法。概括性的分析了基于图像处理的几种常用的车辆检测算法：帧差法、光流法，总结了各种方法的优缺点，并采用背景差法对车流量进行检测。该算法自适应能力强，计算量小，可正确判断有无车辆、完成车辆计数，实现车流量计算，为交通监管系统提供实时有效的交通参数。 车辆计数。分析常用的车辆计数方法：虚拟线圈法和目标跟踪法。并结合具体的实际应用采用基于检测带的车辆计数方式。结果表明，该方法能很好的进行车流量统计。 (Image pre-processing traffic after video capture. Due to hardware and environmental factors, the camera inevitably contain the extracted image noise, image quality will be subject to different degrees of distortion. Therefore, we want to capture the video sequence image preprocessing. Vehicle detection algorithm. General analysis of several common vehicle detection algorithm based on image processing: frame difference, optical flow, summed up the advantages and disadvantages of each method, and using background subtraction to detect traffic flow. The algorithm is adaptive ability, a small amount of calculation can correctly determine whether the vehicle, the vehicle should count to achieve traffic flow calculation provides effective real-time traffic parameters for a traffic monitoring system. Vehicle counting. Analysis of common vehicle counting methods: virtual coil method and target tracking method. Combined with concrete and practical applications based on vehicle detection with )

说明：  k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)