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数字信号处理应用matlab,包含了相关的多个内容，较为经典(Application of digital signal processing matlab, contains a number of related content, the more classic)

广义预测控制的程序 程序为CARIMA模型(Generalized predictive control procedures for the process model CARIMA)

application note for tl 494. how to use tl494.

包括matlab环境下的步态识别代码，视频序列、ppt展示及相关文献(Including gait recognition code in the Matlab environment, the video sequence, ppt show and related literature)

matlab图像处理实例详解chap9——彩色图像处理(matlab image processing examples explain chap9- Color Image Processing)

说明：  The concerns for environment due the ever increasing use of fossil fuels and rapid depletion of this resource have led to the development of alternative source of energy such as solar energy. This paper proposes that how to increase the efficiency of a solar PV energy system by the advancement in conventional DC to DC Boost converter. This paper also proposes the study of open loop systems with elevated step-up conversion and step amplify in input voltage. An improved DC to DC boost converter is modeled and simulated using MATLAB. This improved boost converter provides the constant output voltage irrespective of the variable output voltage. The simulation results of this system are presented and compared. The result of the improved boost converter is also compared with the conventional boost converter. This result verifies that with the minimum number of components the proposed improved boost converter system has the advantages of high efficiency.

fbp 三维重建 基于压缩感知的计算机成像(san wei c jian)

Different source coding techniques

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.

一个很有用的程序，小波包分析提取振动信号中的特征频率，D-S证据理论数据融合。( A very useful program, Wavelet packet analysis to extract vibration signal characteristic frequency, D-S evidence theory data fusion.)