FrequencyFilt

老师给的中文版S函数编写规则，中文哦，很有用的s资料(Teachers to the Chinese version of the S function written rules, Chinese Oh, s very useful information)

Finding localization error for wsn

bp网络训练工具箱适合新手学习和使用很有好处(Bp neural network training kit for beginners learn and use is very good )

采用K近邻算法预测时间序列的源代码，希望对大家能有所帮助。(Predict time series using kNN.)

16qam调制解调，包括建立仿真模型等等(16qam modem modulation)

Scheduling scheme for MIMO downlink

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

calculate a voice detection.also one can calculate the frequency of his/her voice.

说明：  在matlab环境下，基于灰度投影的视频稳像程序(image stabilization based on gay projection)

AirPort Conveyer Belt Model files in matlab