chap2233

用于时间序列的预测，包含序列特征描述、平稳性检验、序列周期判断、季节因子提取、指数平滑预测、及ARIMA预测(Sequence features for time series prediction, including the description of the stationary test, to determine the sequence cycle, seasonal factor extraction, exponential smoothing, and ARIMA forecasting)

deeplearning的工具箱，里面包含了多种神经网络的模型(deeplearning toolbox, which contains a variety of neural network models)

雷达脉冲压缩处理高效算法与关键技术的研究(Radar pulse compression processing efficient algorithms and key technology research)

利用music算法进行谱峰搜索，对一模拟信号的空间谱的峰值进行搜索(spectral-peak-searching music matlab)

matlab programs of digital signal processing, useful for undergraduate engieers.

关于matkab的一点资料，是小弟精心收集的(Information on the matkab point is the collection of younger brother)

虚拟声实现：对给定音源(.WAV)使用头相关函数进行变换，改变其距离及角度，含有静态及动态两种模式。(Virtual Sound generation, static and motion.)

MATLAB环境下实现单片空间后方交会—为课程实习内容(MATLAB environment to achieve the monolithic space resection- Curriculum internship content)

文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。(This paper presents a new approach to short-term load forecasting in power systems. The proposed method makes use of chaos time series analysis that is based on deterministic chaos to capture characteristics of complicated load behavior. Deterministic chaos allows us to reconstruct a time series and determine the number of input variables. This paper describes chaos time series analysis of daily power system peak loads. The nonlinear mapping of deterministic chaos is identified by the multilayer perceptron of an artificial neural network. The proposed approach is demonstrated in an example.)

This project describes a method for synthesizing images that match the texture appearance of a given digitized sample. This synthesis is completely automatic and requires only the “target” texture as input.