bpsjwlmatlabsx

simulink命令集,仿真命令,线性化和整理命令,构建模型命令,诊断命令(simulink command set, simulation command, linearization and finishing order, build a model of command, diagnostic command)

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.

谱减法是利用噪声的统计平稳性以及加性噪声与语音不相关的特点而提出来的。即让有语音期间噪声幅度谱的期望值与无语音间隙噪声的幅度谱的期望值相等。(Spectral subtraction method is the use of stationary noise statistics and the additive noise and speech characteristics not related to the initiative. During that speech so that the expected value of noise amplitude spectrum and noise-free audio gap equal to the expected amplitude spectrum.)

CMA恒模算法的盲均衡的Matlab仿真。包含主程序和调用程序，SISO(CMA constant modulus algorithm for blind equalization Matlab simulation. Including the main program and the calling program, SISO)

说明：  clllc开关电源，pi闭环控制，参数已经设置好，具体计算有相关论文，2018a版本的matlab(Clllc switching power supply, PI closed-loop control, parameters have been set, specific calculation has related papers, 2018a version of MATLAB)

Watermarking algorithms built using matlab

基于多模型的飞机舵面故障诊断与主动容错控制 (Multi Model Based Actuator Fault Diagnosis and Active Fault Tolerant Control for Flight Control Systems )

用 LDPC 解码法，对原始信号通道的噪声进行评估，消去。具体原理可参照IEEE TCOM的论文。(Channel Noise Estimation or correlation estimation for distributed source coding Using Particle based Belief Propagation for LDPC decoding in AWGN and BSC models. This code is partially based on our published journal papers with some additional improvements. In this code, we removed the parameter lambda to reduce the number of free parameters. PBP estimator is distributed in the hope that is will be useful, but without any warranty. The codes have not been optimized, so the estimation speed may be slow. To use PBP estimator source code in your research, please cite our journal papers published in IEEE TCOM. )

换热器的j,f因子是评定其性能的重要参数，通过编程计算能够更加简便快捷(J, f is a factor important to assess the performance parameters of the heat exchanger, through the calculation can be more easily and quickly programmed)

czxt 线性快速傅里叶变换，用时间增加测量的精度(czxt)