Energy

高噪声环境下的麦克风阵列VAD算法研究,介绍了VAD算法在多声道环境中的检测效果(High noise environments VAD algorithm for microphone array research, introduce the VAD algorithm in multi-channel environment detection effect)

This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.

matlab粒子分析算法工具箱，这是最新的希望对有需要的人有用，这个是源代码(matlab particle analysis algorithm toolbox, which is the latest hope useful for people in need, this is the source code)

能够产生多种信号，Matlab编写的，非常好用(Can produce a wide range of signal, Matlab prepared, very easy to use)

features in time domaim for signal processing

说明：  阵列信号波达方向的估计，程序运行是成功的。(DOA estimates)

winamp music collection

在运载体运动情况下,提出了一种适用于捷联惯导系统(SINS)初始对准的新算法,该算法以惯性空 间为过渡参考基准,即建立了初始时刻惯性坐标系(i0系)和初始时刻捷联惯组惯性坐标系(ib0系)两个惯性坐标 系。将捷联惯组坐标系(b系)与导航坐标系(n系)之间的初始对准姿态矩阵的实现分解为三步骤:(1)通过地理 位置和初始对准时间求解i0系至n系的变换矩阵 (2)通过惯导比力方程变形,引入测速仪速度辅助,求解从ib0 系至i0系的常值变换矩阵 (3)使用姿态更新算法实时计算b相对于ib0系的变换矩阵。最后,载车运动环境下的 初始对准试验结果表明航向角对准精度达到了0.1b(1R)。 (On the moving base, a new initial alignment algorithm for strapdown inertial navigation system (SINS) is proposed. In this algorithm, two special inertial frames, the initia-l time inertial frame (i0frame) and the initia-l time SINS body inertial frame (ib0frame), are defined and are selected as transition reference frames. The calculation of initial alignment direction cosine matrix (DCM) between SINS body frame (bframe) and nav- igation reference frame (nframe) is expanded into three parts: (1) the DCM betweeni0frame andnframe is easily obtained via local geographical coordinates and initial alignment time (2) by expressing SINS specific force equation inbframe and by the aid of external velocity log, the constant DCM fromib0frame toi0frame is achieved (3) attitude updating using gyro samples gets the DCM betweenbframe andib0frame. In the end, some vehicular tests are carried out on the moving base and the accuracy of azimuth reaches about 0.1b(1R). )

说明：  Z-transform in digital signal processing

三层前馈神经网络 matlab源码，简单易懂(three layer foreward)