MATLAB-GUI-instruction-video-6

以为高斯和密度估计，使用高斯核的非参数密度估计方法，对样本进行概率密度估计，程序中给出了窗宽的估算公式。(That the Gaussian and density estimation, using Gaussian kernel non-parametric density estimation method, the sample probability density estimates, the program gives the formula for bandwidth estimation.)

隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

本书籍是介绍雷达信号理论的，特别是对雷达初学者有很大帮助(This book is to introduce the theory of radar signals, especially on the radar of great help for beginners)

The result is an IS-95CDMA forward link software simulation package ,which mimics real-time data communication from a basestation to a cellular unit. The package simulates an IS-95CDMA forward link cellular system consisting of 3 major components:Transmitter, Communication Channel and Receiver. (The result is an IS-95CDMA forward link software simulation package, which mimics real-time data communication from a basestation to a cellular unit. The package simulates anIS-95CDMA forward link cellular system consisting of 3 major components: Transmitter, Communication Channel and Receiver .)

Depicts satellite positions and orbits for GPS constellation. Uses a csv file with GPS Kepler elements.

16QAM编译码程序，在信号调制过程中是不可缺少的成分(16QAM encoding and decoding process, in the course of signal modulation is an indispensable ingredient)

This paper presents a new algorithm to extract the fetal ECG from an ECG recorded on the mother’s abdomen. The algorithm consists of two steps: first, ECG of fetus is extracted from the original signal using a two-level wavelet transform. We use Daubechie wavelet transform, which is similar in shape to heart beat wave. The resulted signal is then low-pass filtered using the Savitzky-Golay smoothing filter to attenuate the effect of noise. The filtered signal is considered as the fetal ECG. The algorithm was applied on both synthetic and real ECG signals. The results in this paper show that the proposed algorithm has promising performance.

UC3854功能图，引脚图，各项参数图，以及元器件的选取。(hardware and software of UC3854)

unsecnted Kalman Filter

STBC-OFDM with GUI for communication systems.