danhuilubianshi

matlab环境下的高斯白噪声生成，设计，及说明(matlab environment generated white Gaussian noise, design, and description)

分析了该信号的时域、频域、倒谱，循环谱等,实现了对10个数字音的识别，包含特征值与特征向量的提取、训练样本以及最后的识别，合成孔径雷达（SAR)目标成像仿真，计算加权加速度,这个有中文注释，看得明白。( Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. To achieve the recognition of 10 digital sound, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Synthetic Aperture Radar (SAR) imaging simulation target, Weighted acceleration, The Chinese have a comment, understand it.)

unit root test!!!!!!!!!!!!!!!!!!!!!including kinds of toolbox

performs the Viterbi algorithm on detected to get the decoded_seq.

详细的卷积编码与维特比译码算法。产生随机信号，对信号进行卷积编码，然后经过数值转换、格雷编码，QPSK调制，进入加噪信道，之后进行QPSK解调，格雷解码， 数制转换、 维特比译码得到接收端的信号。(Detailed convolutional coding and Viterbi decoding algorithm. Random signal, the signal convolution coding, and then through numeric conversion, Gray coding, QPSK modulation, plus noise into the channel, followed by QPSK demodulation, decoding Gray, number system conversion, Viterbi decoding to get the receiving end of the signal.)

TLBO Code for Constrained Functions-约束条件的教师学习算法(TLBO Code for Constrained Functions)

实现合成孔径成像的三种算法，包括RD（距离多普勒）、RMA（距离徙动）、CS（Chirp Scaling）(Three algorithms for SAR imaging, including RD (Range Doppler), RMA (Range Migration) and CS (Chirp Scaling))

PV Array very goog in usw

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

cortab function for wavelet analysis