autosp

It simulates a simple circuit analysis phasors of current and voltages.

用Matlab实现的简单的二维主成分分析算法，最后以点阵图输出结果(Using Matlab realize a simple two-dimensional principal component analysis algorithm, the final output to bitmap)

Simulink for GNC toolbox

说明：  用matlab代码编写的图像盲反卷积，可以实现较好地实现灰度图像的盲反卷积(Matlab code used to prepare the image blind deconvolution can be achieved to better achieve the gray image of the blind deconvolution)

这个包实现了ITU - T的G.723.1语音编码器和解码器在Matlab。该方案的目标是提供一个良好的记录和模块化设计方案，实验和研究，以方便使用为基础的实际编码器。 编码器实现了G.723.1的多脉冲模式（在6.3 kb / s的运行）。解码器可以解码的5.3 kb / s的，在6.3 kb的多脉冲/秒，连续传输，数据包丢失隐藏）编码器（所有的ACELP方式。 该编码器和解码器之间的标准接口是位文件（同位文件由ITU - T参考代码产生兼容）。第二个选项之间传递的编码器和解码器使用Matlab的数据信息文件。此选项允许测试通过传递量化或unquantized之间的编码器和解码器的信息。 有报道[1]描述了G.723.1编码与Matlab实现与分布包括在内。 ITU - T建议G.723.1的[2]在线提供。该建议含(This package implements the ITU-T G.723.1 speech coder and decoder in Matlab. The goal of the package is to provide a well-documented and modular program that was designed to facilitate experimentation and research using a practical coder as a base. The coder implements the multipulse mode of G.723.1 (running at 6.3 kb/s). The decoder can decode all modes of the coder (ACELP at 5.3 kb/s, multipulse at 6.3 kb/s, discontinuous-transmission, packet loss concealment). The standard interface between the coder and decoder is a bit file (compatible with the bit files generated by the ITU-T reference code). A second option passes information between the coder and decoder using a Matlab data file. This option allows for testing by passing quantized or unquantized information between the coder and the decoder. A report [1] describing the G.723.1 and the Matlab implementation is included with the distribution. ITU-T Recommendation G.723.1 [2] is available on-line. The recommendation incl)

real time data acquisition between pic 18f and matlab

神经网络测试患者Patients with neural network testing(Patients with neural network testing)

侯涛的学刊，实验研究关于神经PID，欢迎下载(Hou Tao of Sciences, experimental studies on the neural PID, welcome to download)

自适应滤波程序，选用的是维纳滤波、最小二乘法、最陡下降法、均方最小二乘法等(Adaptive filtering process, the choices are the Wiener filter, least squares method, steepest descent method, mean square least squares method)

dudu and hart chapter 2 excersise