cuckoo_search_new2013

Lte OFDM channel estimation algorithms

kalman滤波程序，一维信号分析，供参考(kalman filtering procedures, one-dimensional signal analysis, for reference)

通过构建对角平滑和指数平滑的方法，进行金融风险值得计算。(By building on the corner smoothing and exponential smoothing method, the calculation of financial risk worth.)

from Shortten DVB-S2 LDPC 64800 code into 8100 The program can produce the parity check matrix of DVB-S2 LDPC 64800 with short length code of 8100.

基于局部能量最大的图像融合方法，适合图像融合(The largest local energy based image fusion method for image fusion)

这个Matlab程序实现了MAP算法-最大后验概率算法，同时包括对算法有：卷积编码、卷积解码，BPSK，AWGN。同时绘制它的误码率和SNR(信噪比)。 (The Matlab program achieved a MAP algorithm- maximum a posteriori probability algorithm, also include the algorithm are: convolutional coding, convolutional decoding, BPSK, AWGN. At the same time rendering its bit error rate and SNR (signal to noise ratio).)

进行可靠度分析有效方法 画出数据概率分别vu 如 (for reliable method N = FREQDM(Y) bins the elements of Y into 10 equally spaced containers and returns the frequency of each container. If Y is a matrix, FREQDM works down the columns. N = FREQDM(Y,M), where M is a scalar, uses M bins. )

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

adaptive signal processing

在过阻尼情况下，典型二阶系统有两个相异的实数极点，其阶跃响应实际上是两个一阶系统响应的叠加。（ωn＝5），不断增大ζ值，观察每个ζ值下两个实数极点间的距离；同时绘出两个实数极点分别对应的一阶系统响应和二阶系统的响应，观察它们间的关系(In the overdamped case, the typical second-order system has two distinct real poles, and its step response is actually the superposition of the two first-order system response. (Wn = 5), increasing zeta values​ ​ , observing the distance between the two real poles each zeta value draw two real poles, respectively, corresponding to a first-order system response and the response of the second-order system, observe them relationship)