OFDM_signal

chan算法，利用TDOA参数实现定位功能，是一种很经典的算法(chan algorithm parameters using TDOA positioning function, is a classic algorithm)

Space-Time Processing for CDMA Mobile Communications.Written for research students and design engineers, this book addresses many basic questions related to the use of space-time processing in CDMA-based third-generation systems

this is a matlab code for zooming image

基础fxlms算法在有源噪声控制中的应用(Application of basic FXLMS algorithm in active noise control)

随机交织器的matlab实现：通过MC仿真的方法产生随机数(Matlab random interleaver implementation)

对心电信号进行滤波处理后，计算RR间隔，进而求得瞬时心率和心率变异系数，通过对RR间隔的变化曲线进行频谱分析，从而求得各个自律神经活动的评价指标(After filter processing is performed on the ECG, the RR interval is calculated, and then seek the instantaneous heart rate and heart rate variability coefficient, spectral analysis through the curves of changes in the RR interval, to thereby obtain the evaluation index for each of the autonomic nervous activity)

1 SIFT 发展历程 SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。 2 SIFT 主要思想 SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。 3 SIFT算法的主要特点： a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。 b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。 c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。 d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。 e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。 4 SIFT算法步骤： 1） 检测尺度空间极值点 2） 精确定位极值点 3） 为每个关键点指定方向参数 4） 关键点描述子的生成 本包内容为sift算法matlab源码(1 SIFT course of development SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement. 2 the SIFT main idea The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant. 3 the main features of the SIFT algorithm: a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability. b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23]. c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors. d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements. e) The scalability can be very convenient fe)

画一个三维的抛物线，供你参考，希望有所帮助，多多交流(Draw a three-dimensional parabolic, for your reference, hoping to help, a lot of communication)

第4个：matlab 和C++联合用于SVM，另外一种风格的(the 4 file: matlab and c++ together for SVM)

This is a Multi Objective BAT Algorithm.