pitch shifter

% Function: [class,type]=dbscan(x,k,Eps) % ------------------------------------------------------------------------- % Aim: % Clustering the data with Density-Based Scan Algorithm with Noise (DBSCAN) % ------------------------------------------------------------------------- % Input: % x - data set (m,n); m-objects, n-variables % k - number of objects in a neighborhood of an object % (minimal number of objects considered as a cluster) % Eps - neighborhood radius, if not known avoid this parameter or put [] % ------------------------------------------------------------------------- % Output: % class - vector specifying assignment of the i-th object to certain % cluster (m,1) % type - vector specifying type of the i-th object % (core: 1, border: 0, outlier: -1)

a ClosestPair code which is writen with BrutForce

dtw是语音识别中的一种重要算法，该算法在语音识别中得到广泛的应用，是一种很实用的算法。

资源描述

压缩感知，非常有用的源程序，想学压缩感知的同学们需要注意了，此程序非常具有实用和研究的价值。此程序是用小波基进行稀疏，用OMP算法进行重构，效果好，对刚入门研究压缩感知的同学价值比较大。

文件包含最速下降算法，最小二乘算法，霍夫曼编码-File contains the steepest descent algorithm, least-squares algorithm, Huffman coding

// simpleSeq.cpp : #include //定义在头文件“seqList.h”中 #include const int defaultSize = 100; using std::endl; using std::cerr; class SeqList{ protected: int *data; //存放数组 int maxSize; //最大可容纳表项的项数 int last; //当前已存表项的最后位置（从开始） void reSize(int newSize); //改变data数组空间大小 public:

Individual files are available in the following links: Bessjy -- Bessel functions Jn and Yn for real argument and integer or real order. Bessik -- Modified Bessel function In and Kn for real argument and integer or real order. CBessjy -- Bessel functions Jv and Yv for real or complex arguments and real order. CBessik -- Modified Bessel functions Iv and Kv for complex arguments and real order. -Individual files are available in the following links: Bessjy- Bessel functions Jn and Yn for real argument and integer or real order. Bessik- Modified Bessel function In and Kn for real argument and integer or real order. CBessjy- Bessel functions Jv and Yv for real or complex arguments and real order. CBessik- Modified Bessel functions Iv and Kv for complex arguments and real order.

资源描述判断矩阵是否规律，如m x n。判断两个矩阵是否为同阶矩阵，是否为同型矩阵。计算矩阵的转置矩阵。判断两个矩阵是否一模一样。计算两个同型矩阵的乘法、加法、减法。计算数与矩阵的乘法。

将提升小波用于目标跟踪。 小波提升的核心就是更新算法和预测算法,通过预测算法可以得到高频信息,而通过更新算子可以得到正确的低频信息.提升样式可以实现原位计算和整数提升,并且变换的中间结果是交织排列的.其中原位计算和整数提升在硬件实现中很有价值.-will enhance wavelet for target tracking. Lifting the core algorithm and is updated prediction algorithm, algorithm can be predicted high-frequency information, and by updating operator can correct the low-frequency information. upgrade format can achieve in-situ upgrade and Integer calculations, and transform the intermediate results are intertwined with a. which integer calculation and in-situ upgrading the hardware realization of great value.