matlab-Array-VCL-components

Quadrature amplitude modulation (QAM) is a modulation scheme in which two sinusoidal carriers, one exactly 90 degrees out of phase with respect to the other, are used to transmit data over a given physical channel. One signal is called the I signal, and the other is called the Q signal. Because the orthogonal carriers occupy the same frequency band and differ by a 90 degree phase shift, each can be modulated independently, transmitted over the same frequency band, and separated by demodulation at the receiver. For a given available bandwidth, QAM enables data transmission at twice the rate of standard pulse amplitude modulation (PAM) without any degradation in the bit error ratio (BER).

matlab7.0应用编程，中文资料，每章一个文件(Application Programming matlab7.0, English information, each devoted to a file)

使用波模控制的直接转矩控制构建的系统，给出了相应的仿真模型及结果。(Wave mode control using the direct torque control system is built, gives the corresponding simulation model and results.)

基于matlab编写的SQP优化算法，用来求解有约束的非线性规划问题(sequential quadratic programming:Used to solve constrained nonlinear programming problems)

this is an pfc demo file1.

Descriptor DAISY for Matlab in Windows

fingerprint recognization with more dip results

TwIST：两步迭代的图像分割matlab源码，包括图象压缩／重建／增强／去噪等应用(TwIST: two-step iterative image segmentation matlab source, including image compression/reconstruction/enhancer/de-noising applications such as)

包含所有约束优化问题中涉及的matlab源程序。包含Rosen梯度法求解约束多维函数的极值，外点罚函数法解线性等式约束，外点罚函数法解一般等式约束，内点罚函数法，混合罚函数法，混合罚函数加速法，乘子法，坐标轮换法及复合形法(Contains all the constrained optimization problem involves matlab source. Contains Rosen gradient method for solving constrained multi-dimensional function extremum, external point penalty function method for solving linear equality constraints, external point penalty function method for solving general equality constraints, interior point penalty function method, mixed penalty function method, mixed penalty function acceleration method , multiplier method, the coordinate rotation method and complex method)

采用matlab语言，但不是采用其神经网络工具箱开发的BP人工神经网络程序，原始底层代码，对于想利用其它语言开发商业软件的网友可先学习本代码，然后可方便转写。(Using matlab language, but not using its neural network toolbox developed by BP artificial neural network program, the original low-level code, use of other languages who want to develop commercial software, users can first learn the code, and then can be easily transferred to write.)