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这个程序展示如何使用Data Acquisition Toolbox从声卡获得两秒钟的声音数据，并提取频率成分，并绘制。(Soil most序bedside stand striped stamp 如 do I use Data Acquisition Toolbox sik crepe声wrist phoenix arrowhead slander钟cavity声音， bowl beat sweet feed 取 频 Carex rude cookie制Xu ， 。)

说明：  对曲线进行拟合，使得最后拟合的数据与元数据的误差最小(The curve fitting, so that the final fitting of the data with the metadata minimum error)

deinterlace去隔行算法，将隔行序列变为逐行(deinterlacing algorithms deinterlace interlaced sequences into progressive)

在系统辨识前，对输入输出数据进行平滑处理，列举了移动平均法、loess、sgolay等几种平滑方法进行分析比较(System identification, data input and output smoothing, moving average method, loess, sgolay cited several smoothing methods were analyzed and compared)

OFDM信道估计的简单仿真程序，使用最小二乘方法对OFDM信道进行估计。(OFDM channel estimation in a simple simulation program, using the least-squares method OFDM channel estimation.)

this program is designed for solving the two dimensional photonic structure

CDMA Simulation Using MATLAB This program models a simple implementation of CDMA technology. It considers multiple bit data streams sent by any number of senders across a common channel. Each sender uses a unique code word, given by the Walsh set, to encode its data, send it across the channel, and then perfectly reconstruct the data at the receiver. The simulation utilizes these simplifications: 1. The individual data streams share the same bit length. 2. The code words are determined using the Walsh set to create orthogonal code words. 3. The spreading factor M of each code word is identical. 4. All users (data streams and codes) are synchronized in time. 5. Set-up and hold times of real-world systems are ignored. 6. The channel through which the data passes is ideal.

这是本人编写的PLS建模程序，希望对大家关于该方面的研究有帮助。(This is my procedure to prepare the PLS modeling, I hope all of you on the research helpful.)

BP神经网络的训练算法，使用梯度下降法，通俗易懂(BP neural network training algorithm using the gradient descent method, easy to understand)

音频信号处理，实现自适应语音盲分离，输入两个信道的互相关音频信号，能互相分离出原始语音(Audio signal processing, adaptive voice separation, two channels of input audio signal cross-correlation, the original speech can be isolated each other)