Wireless_OFDM_Systems_How_to_make

说明：  一个非常简单的日历程序，可以作为插件使用(a simple calendar code)

时间序列分析示例程序，用matlab建立AR(P)模型的完整过程，简洁易懂，备注完整。(Time series analysis sample program, using matlab to establish AR (P) model the complete process, easy to read, notes intact.)

matlab程序，混沌粒子群算法，混沌优化和粒子群优化两者的结合(Matlab program, chaotic particle swarm optimization)

很优良的PID控制器设计仿真程序与模型,经过严格检验(Very good simulation of PID controller design procedures and models, to undergo a rigorous inspection)

metric learning using this for manifol learning

audio card enumerate searching ok. for multimedia developing project. thank you

QAM and Fading simulation

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

连续与离散信号系统的Matlab仿真示例代码．(Continuous and Discrete Signal System Simulation Matlab sample code.)

Face Detection and Tracking Detect a Face