digitalsignalprogress

用matlab图形界面实现的计算器，使用guide设计界面，用m文件实现运算的算法；须在matlab上运行；(Graphical interface implemented using matlab calculator, use the guide interface design, to achieve operation with the m file algorithm to run in matlab )

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本程序是利用matlab中的函数设计滤波器，并进行频谱分析的m文件，有助于对数字滤波器的理解。(This procedure is to use matlab s function in the design of filters, and spectral analysis of m documents, contribute to the understanding of the digital filter.)

简单的用PCA实现人脸识别的matlab程序(Face recognition using PCA to achieve)

噪声信号中正弦信号的频谱分析，包括不同信噪比不同周期不同长度(Sinusoidal signal in the noise signal spectrum analysis, including the different cycles of different lengths in different SNR)

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)

产生中频和高频信号及其相应滤波器，并对其进行滤波和分析(Intermediate frequency and high frequency signal generated and its corresponding filter and its filtering and analysis)

A Multi-Objective Pareto-Optimal Genetic Algorithm for QoS Multicasting

基于 的窗函数的各种窗函数的设计以及各个函数的性能参数分析以及仿真波形(Window function based on a variety of window function design and performance parameters of each function and the simulation waveform)

说明：  mvdr处理计算程序，非常好用适合与大家学习与掌握。