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基于TMS320VC5402的相关算法程序
- 基于TMS320VC5402 DSP平台的广义平稳信号的相关算法的C语言实现,在CCS里调试通过-TMS320VC5402 DSP platform based on the generalized smooth signal correlation algorithm in C language, debugging through CCS Lane
kalman_filter_method
- 卡尔曼滤波用于语音增强算法，复杂度较高，适合非平稳信号．-Kalman filter used for voice enhancement algorithms, complexity, suitable for non-stationary signals.
svm_v0[1].55beta.tar
- 用于进行所谓的支持向量机的分析，关键是对信号进行分类，用于处理非线性非平稳信号-used for the so-called support vector machines, the key is the signal classification for handling nonlinear non-stationary signals
kalmanfilte221
- 语音合成与识别，适合非平稳信号,卡尔曼滤波用于语音增强算法，matlab,-speech synthesis and recognition, suitable for non-stationary signals, Kalman filtering algorithms for speech enhancement, Matlab,
cyclostationary_toolbox
- 循环平稳信号分析工具箱第二版 相对于第一版增加了更多实例-Cyclostationary signal analysis toolbox in relation to the second edition of the first edition of an increase of more examples of
cyclic_3rd_order_cumulant_fast
- 计算循环平稳信号的3阶累积量的快速算法，希望对大家有所帮助-Cyclostationary signals calculated 3-order cumulant of the fast algorithm, and they hope to help everyone
cyclic_4th_order_cumulant
- 计算循环平稳信号的4累积量的算法，希望对大家有所帮助-Cyclostationary signals calculated cumulant algorithm 4, and they hope to help everyone
cyclic_4th_order_cumulant_fast
- 计算循环平稳信号的4累积量的快速算法，希望对大家有所帮助-Cyclostationary signals calculated cumulant 4 fast algorithm, and they hope to help everyone
cyclic_autocorrelation_fast
- 计算循环平稳信号的相关函数的普通以及快速算法，希望对大家有所帮助-Cyclostationary signals calculated correlation function, as well as the general fast algorithm, and they hope to help everyone
Cyclo
- 卷积混合和线性瞬时混合循环平稳信号盲分离-Blind separation of cyclostationary
benchmarks
- 三种适合循环平稳信号的处理源生物信号，各自信号存在有独立性-Three biomedical source signals
cyclicJadeAndSobi
- 配合使用可以实现基于循环平稳信号的盲源分离。使用JADE和SOBI算法。自己编的-BSS based on cyclostationarity
sourcesignals
- 自己设计的4路循环平稳和平稳信号的混合信号。循环平稳信号由EIT测量产生。可用于检测设计的基于循环平稳的盲源分离算法是否有效的仿真信号-source signals containing both cyclostationary and stationary ones
cycliostrationarity
- 产生循环平稳信号的matlab-Cyclostationary signals generated matlab! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !
cyclostationary_toolbox
- 计算循环平稳信号的4阶累积量，很好的算法-for 4th cumulant of cyclonationary signals
funchirp
- 多尺度线调频基稀疏信号分解方法源代码，非常适用于多分量非平稳信号分解！-FM-based multi-scale line of source code for sparse signal decomposition method is very suitable for multi-component non-stationary signal decomposition!
fpwxh
- 噪声中非平稳信号的频谱分析，基于MATLAB，实验报告一份-Nonstationary noise frequency spectrum analysis, based on MATLAB, a lab report
Cyclostationary-toolbox
- 循环平稳信号工具，包括自相关函数和7个实验，以及算法的解释-Cyclostationary signal instruments, including the self-correlation function and the experimental
第二章-平稳随机过程的谱分析
- 介绍了平稳随机过程及功率谱相关理论 ● 傅里叶变换能否应用于随机信号？ ● 相关函数与功率谱的关系 ● 功率谱的应用 ● 采样定理 ● 白噪声的定义(The stationary random process and the theory of power spectrum correlation are introduced.)
心电信号检测与分类算法的研究
- （1）心电信号预处理 心电信号是一种低频且含有众多噪声干扰的信号。针对心电信号存在的 噪声干扰问题，本文采用了平稳小波变换结合双变量阈值的方法对其进行去 噪处理。通过对心电信号进行八层平稳小波变换，得到不同的小波系数，采 用双变量阈值函数表达式对其进行处理得到新的小波系数，最后进行逆平稳 小波变换实现小波重构，完成心电信号去噪。Matlab 仿真结果显示，本文算 法的准确率较高，信噪比达到 84.5934dB。 （2）心电信号波形识别 反映心电信号的特征部分往往是信号的突变点，因此需