linear_array

OFDMA subchannel allocation has been wellstudied. However, most of the available literature considers a single cell system without cochannel interference. We present a novel intercell interference avoidance scheme, in which the downlink OFDMA subchannels are allocated through intercell coordination in a multicell environment. The proposed scheme not only aims to achieve maximized network throughput but also focuses on providing improved throughput for cell or sector edge users that are most affected by intercell interference

SVM method is used for image processing

time spliter gps data

指纹特征识别 提取出指纹分叉点和端点，作为后期特征提取的准备(fingerprint identification)

cuckoo search an evolutionary algorithm in optimization technique

说明：  是自适应滤波的一个源代码，用matlab编写，可以直接复制进行运行(Adaptive filtering is a source code, matlab written copy can be run)

采用位置式PID实现炉温控制 采用继电法整定PID参数 (Realized using positional PID temperature control relay method using PID tuning parameters)

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )

图书电扫阵列-matlab建模与仿真，第三章编码(codes of book chapter3)

详细介绍了自适滤波器的原理和实现，对于我们学习十分有帮助。(Adaptive filter described in detail the theory and implementation, very helpful for us to learn.)