song-robu-i1m

用于计算离散序列c*a^k 运行环境matlab(Used to calculate the discrete sequence c* a ^ k runtime environment matlab)

MODULATOR This function modulate the forward Channel chips. Block Diagram InChips -> [Walsh] -> [Spreading] -> [Output Tx Shaping Filter] Inputs: chips - chips sequence to transmit MFType - Shaping Filter type (default - Rise Cosine) Walsh - Used row of Walsh matrix Outputs: TxOut - Transmitted signal (analog signal) PN - PN sequence for I/Q Channels MF - mathed filter taps (Shaping Filter)

802.16eCTC的logmap算法仿真，MATLAB环境(802.16eCTC the logmap algorithm simulation, MATLAB environment)

形态学处理 包括开运算，闭运算，边缘检测，重构等　matlab源码(Morphological opening treatment, including operations, closing operation, edge detection, reconfiguration, such as source code matlab)

说明：  专门用于求解TSP问题的matlab编制的蚁群算法,此程序的优化效率和鲁棒性都非常好(Ant Colony Algorithm for Traveling Salesman Problem,very efficient and robust)

基于dct变换的数字图像水印算法研究,系统研究分 析了经典的DCT变换域的数字水印算法 (Dct transform based digital image watermarking algorithm, the system analysis of the classical DCT transform domain watermarking algorithm)

说明：  AC induction motors are the most common motors used in industrial motion control systems, as well as in main powered home appliances. Simple and rugged design, low-cost, low maintenance and direct connection to an AC power source are the main advantages of AC induction motors. The speed control of these motors has been of great importance in order to run the motors at desired speeds. Among the various methods of speed control V/F control of induction motor is the most efficient one, in which V/F ratio is kept constant. In this project we studied about this V/F control of an induction motor and simulated it in the matlab Simulink and controlled the torque and speed of induction motor. This technology continued to be taken up further improvements all over the world till very recently.

时间序列的G_P算法,计算出序列的关联维数d，然后利用嵌入维数m>=2d+1，选取合适的嵌入维数。(G_P time series algorithm to calculate the correlation dimension d sequence, and then use the embedding dimension m> = 2d+1, select the appropriate embedding dimension.)

部分选主元的高斯LU分解算法，用法：[L,U,P]=pgauss(A)(Gaussian LU decomposition algorithm with pivoting)

包含两个代码，分别是全局直方图均衡和局部直方图均衡，适用于不同情形(Global and local histogram equalization)