svpwm_Sfuntion

详细介绍了matlab7的所有关键特性和功能，提供了精通matlab所需要的所有方法和手段。( All the key features and functions of Matlab7 was introduced in detail, and provides the proficient in matlab need all of the methods and means.)

bundle for the sift develope

利用matlab求解混沌的各种类型，都有源程序，分的很细，很容易学习的(Use matlab to solve all types of chaos, there is source of very fine, very easy to learn)

it will calculates the SNR if u give noise,clean,noisy speech files as the input it will gives the SNR.

主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提. 更多还原 (Mainly discuss how to get the picture after extracting its boundary information, the first use of the image contrast of the gray uniform solution to the problem is not clear, then use a Gaussian filtering method for image filtering noise, and then use Canny edge detection algorithm to extract the boundary, the method find boundary method comes with Matlab significantly improved procedures for the use of Matlab for image fractal dimension provides a more accurate premise. more reduction)

说明：  全相位APFFT与传统的FFT算法对频率和相位进行估计(Frequency and phase estimation of all-phase APFFT and traditional FFT algorithm)

多传感器多目标数据融合的ＩＭＭ＿ＭＳＰＤＡ关联算法，算法结果表明多模型算法用于跟踪机动目标的良好性能。(Multi-target multi-sensor data fusion IMM_MSPDA association algorithm, the algorithm results show that the multiple model algorithm for tracking maneuvering targets good performance.)

用mallat分解与重构算法实现一维信号的分解和重构(Mallat decomposition and reconstruction algorithm used to achieve one-dimensional signal decomposition and reconstruction)

说明：  基于卡尔曼滤波器的目标跟踪,其中涉及有场景描述及跟踪结果分析(Kalman filter-based target tracking)

第5个：matlab 和C++联合用于SVM，另外一种风格的(the 5 file: matlab and c++ together for SVM)