AIC

COLOR IMAGE DATA BASE

load flow study using gauss siedel method

glowworm swarm optimization algorithm matlab(glowworm swarm optimization algorithm)

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.

Testing complicated str.replace.

数据优化DPCM方法，对一个余弦信号数据进行标量量化(Data Optimized DPCM method, a cosine signal data scalar quantization)

UWB bpsk调制方式下的matlab实现过程，很实用(UWB bpsk modulation matlab under the implementation process, it is useful)

用music方法估计功率谱，并估计信号频率和峰值(Music method estimates the power spectrum, and estimate the signal frequency and peak)

OFDM 对频偏非常敏感，文件主要是基于导频方法的频偏估计(OFDM is very sensitive to frequency offset, frequency offset file is mainly based on the pilot estimates)

说明：  A precise curved motion planning for a differential driving mobile robot