pca

Matlab routine for soft and hard decision viterbi decoding of convolutional codes

用最邻近数据关联算法实现目标跟踪，对研究目标跟踪领域的朋友有用(With the nearest neighbor data association algorithm for target tracking)

关于matlab中的一些函数，以及对于函数的使用与说明(A document which is about the function in matlab)

信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等；离散系统结构包括IIR、FIR和Lattice结构；IIR滤波器设计包括模拟和数字低通、高通、带通与带阻滤波器设计，以及基于冲激响应不变法和双线性Z变换法的IlR滤波器设计等；FIR滤波器设计包括基于窗函数、频率抽样法和切比雪大逼近法的FIR滤波器设计；平稳信号分析包括经典功率谱估计、基于参数模型的功率谱估计和基于非参数模型的功率谱估计；非平稳信号分析包括STFT变换、Gabor展开、Wigner-Ville分布与Choi-Williams分布；非高斯信号分析包括基于非参数法的双谱估计、基于参数模型的双谱估计，以及双谱估计的应用；信号处理的GUI实现包括滤波器设计与分析的FDATool工具和滤波器设计与信号分析的SPTool工具。(signals and systems based on knowledge, including continuous signal with the model, discrete signal and model; Common signals include transform Z transform, chirp Z-transform, FFT transform. DCT and Hilbert transform; Discrete system architecture including IIR, FIR and Lattice structure; IIR filter design, including analog and digital low-pass, high-pass, band-pass and band stop filter design, Based on the impulse response of the same law and bilinear Z transform the IlR filter design; FIR filter design including on the basis of the window function, frequency sampling and snow all over the big approximation of FIR filter design; stationary signal analysis include classical power spectrum estimation, Based on the model parameters of the power spectrum estimation and non- parametric model b)

卡尔曼滤波在MATLAB上的实现，本例子是常数型卡尔曼(Kalman filter implemented in MATLAB, and this example is the constant Kalman)

一个贪婪算法的仿真程序，以及介绍的ppt，欢迎大家一起研究。(A greedy algorithm for the simulation program, as well as the introduction ppt, welcomed everyone to study together.)

qrs detection in ECG signals

计算机网络技术 海明编码和CRC校验编码 matlab实现(Computer Network Technology Hamming coding and CRC check code matlab implementation)

orthogonal frequency division multiplexing algorithm matlab code-1

MATLAB手册,提供使用matlab5的实践性指导，简述对矩阵、数据、图像等处理操作(MATLAB Manual, providing practical guidance to use matlab5 briefly on the matrix, data, images and other handling)