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Programa Matlab para Discrete Fourier Transformation.

Fib number algorithm complexity test: recursive vs. non recursive functions...

可以用Matlab画坐标系，使用比较方便。(Coordinate system using Matlab painting, more convenient to use.)

一些失量量化码书设计的方法总结，包含全面，用matlab编程的(Some loss of quantization codebook design methods are summarized, including comprehensive programming using matlab)

说明：  经典诺基亚贪食蛇游戏，基于MATLAB实现(CLASSIC NOKIA SNAKE GAME, ACHIEVED BY MATLAB)

mmread reads virtually any media file. If Windows Media Play can play it, so should mmread. It uses the Window s DirectX infrastructure to ％ render the media, so other OSs are out of luck.(mmread reads virtually any media file. If W for Windows Media Player can play it. so should mmread. It uses the DirectX in Window s GE% to render the media, so other OSs are out of luck.)

说明：  基于双耦合Duffing振子的随机相位正弦信号检测 采用双耦合混沌振子阵列实现了随机相位微弱正弦信号的检测，在此基础上，提出了新的检测方法，即利用单个耦合混沌振子，通过临界及周期状态 的变化检测随机相位微弱正弦信号并大致估计信号相位范围，该方法比双耦合混沌振子阵列法简单，更易于实现。(Based on double coupled Duffing oscillators random phase sine signals detected by two coupled chaotic oscillator arrays to achieve a random phase weak sinusoidal signal detection, in this basis, the proposed new detection methods, namely the use of a single coupled chaotic oscillators, through the critical and the cycle random phase state change detection and generally weak sinusoid signal phase estimated the scope of the method than the two-coupled chaotic oscillators array method is simple and more easy to implement.)

该程序实现了ECG信号的滤波，并进行了R波检测和QRS波检测，提供了数据供测试用。(ECG filter and R,QRS dectect)

说明：  matlab FIR 底通和带通滤波器和IIR 底通和带通滤波器完整程序(Matlab fir bottom pass and band-pass filter and IIR bottom pass and band-pass filter complete program)

In this paper we discuss the problem of recovering the vertices of a planar polygon from its measured complex moments.Because the given, measured moments can be noisy, the recovered vertices are only estimates of the true ones. The literature offers many algorithms for solving such an estimation problem. We will restrict our discussion to the Total Least Squares (TLS) data fitting models HTLS and STLS and the matrix pencil method GPOF. We show the close link between the HTLS and the GPOF method. We use the HTLS method to compute starting values for the STLS method. We compare the accuracy of these three methods on simulated data. 2005 Elsevier B.V. All rights reserved.