3Dpolar

提出一种多描述分层语音编码器，基于正弦和等效矩形带宽模型，将正弦和噪声模型参数根据能量大小进行适当分配以得到不同的描述和感知层(A layered multiple description speech coder based on the sinusoidal model and the equivalent rectangular bandwidth will be sinusoidal and noise model parameters in accordance with the energy distribution of the size appropriate to get different descriptions and perceptual layer)

说明：  用于汽车牌照识别的MATLAB程序，希望对大家有帮助！(License plate recognition for the MATLAB program, we want to help!)

利用霍夫变换的原理，能够实现二值空间的圆检测。获得预期的图像信息。(Using the principle of Hough transform, the value of space to achieve the second round test. Achieve the desired image information.)

置信传播算法用于无环图时的误码率的检验。(this program is a detection of the error bit when the BP algorithm used in the cycle free graph.)

matlab编程实现从东北天坐标系到地心坐标系的坐标转换，包含了资料文件。调用函数名为：ENVtoECEF，输入参数为东北天原点经纬度数据，东北天坐标点数据；输出数据是东北天坐标系下坐标点对应的经纬高数据。(matlab programming from the northeast sky coordinate system to the geocentric coordinate system conversion, including the data file. Call the function named: ENVtoECEF, input parameters for the origin of latitude and longitude data northeastern days, Northeast day coordinate data output data is northeast days coordinates of latitude and longitude coordinates of points corresponding to the high data.)

Advanced steganography using matlab

MIMO系统为提高系统性能采用功率分配，这个程序主要采用注水发进行功率分配(MIMO system with power allocation to improve system performance, this program mainly for the power distribution of fat injection)

利用matlab实现对单边带信号（ssb）进行调制与解调，适用于初学者(Using matlab to achieve single-sideband signal (ssb) for modulation and demodulation, for beginners)

在双 馈 式 发电 机简 化 等 值电 路 的基 础 上 建 立了 风 电 场 的 确 定 性 潮 流 模 型， 建 立 了 风 力 发电 机 的 随 机 分 析 模 型， 并 在 这 二 者 的 基 础 上 运 用 基 于 半 不 变量法的随 机潮流 进行计算(On the basis of double-fed generators simplified equivalent circuit on the establishment of a deterministic trend model for wind farms, the establishment of a stochastic model of the wind turbine, and based on the use of stochastic trend in semi-invariant law on the basis of both calculation)

慢特征分析 sfa matlb源程序 参考文献： Wiskott, L. and Sejnowski, T.J. (2002), "Slow Feature Analysis: Unsupervised Learning of Invariances",(Slow feature analysis SFA MATLB source program)