fft2

Using K-L transform to compress data is straightforward, since we can use a d dimensional vector to represent a D dimensional one without lose of much information. (Using KL transform to compress data is straightforward, since we can use ad dimensional vector to represent a D dimensional one without lose of much information.)

正确的潮流计算程序,经多个算例验证了正确性,值得一看(Calculation of trend right by a number of examples to verify the correctness, see)

说明：  正交匹配追踪，对MP的改进，实现信号的稀疏分解(Orthogonal matching pursuit, the improvement on the MP and the signal is sparse decomposition)

bisection numerical method

TOC - identification and detection of Table of Contents

Robot path using fuzzy toolbox of MATLAB

说明：  利用AMDF法求语音信号的基音周期（结果为时频图）(Pitch detection by AMDF algorithm)

设计的一个十进制的计数器，以J-K触发器为基本。以simulink为开发环境。(Design of a decimal counter to the basic JK flip-flop. In simulink development environment.)

支持向量机点点滴滴matlab版，内容不错较为新颖 有很强的实用价值(More novel support vector machine bit by bit matlab version has a strong practical value)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.