灰色预测GM（1，1）模型的matlab源代码，包括预测模型的建立，以及模型的精度检验指标c,p的计算-Gray predicTIon GM (1,1) model matlab source code, including the predicTIon model, as well as indicators of model accuracy test c, p calculation
标签： 灰色预测
上传时间： 2017-07-25
上传用户：refent
The 4.0 kbit/s speech codec described in this paper is based on a Frequency Domain Interpolative (FDI) coding technique, which belongs to the class of prototype waveform Interpolation (PWI) coding techniques. The codec also has an integrated voice activity detector (VAD) and a noise reduction capability. The input signal is subjected to LPC analysis and the predicTIon residual is separated into a slowly evolving waveform (SEW) and a rapidly evolving waveform (REW) components. The SEW magnitude component is quantized using a hierarchical predictive vector quantization approach. The REW magnitude is quantized using a gain and a sub-band based shape. SEW and REW phases are derived at the decoder using a phase model, based on a transmitted measure of voice periodicity. The spectral (LSP) parameters are quantized using a combination of scalar and vector quantizers. The 4.0 kbits/s coder has an algorithmic delay of 60 ms and an estimated floating point complexity of 21.5 MIPS. The performance of this coder has been evaluated using in-house MOS tests under various conditions such as background noise. channel errors, self-tandem. and DTX mode of operation, and has been shown to be statistically equivalent to ITU-T (3.729 8 kbps codec across all conditions tested.
标签： frequency-domain interpolation performance Design kbit_s speech coder based and of
上传时间： 2018-04-08
上传用户：kilohorse
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the predicTIon stage, BDTWSVMs assign to the class label depending on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization
标签： recognition Bi-density machines support pattern vector twin for
上传时间： 2019-06-09
上传用户：lyaiqing
This paper reviews key factors to practical ESD protection design for RF and analog/mixed-signal (AMS) ICs, including general challenges emerging, ESD-RFIC interactions, RF ESD design optimization and predicTIon, RF ESD design characterization, ESD-RFIC co-design technique, etc. Practical design examples are discussed. It means to provide a systematic and practical design flow for whole-chip ESD protection design optimization and predicTIon for RF/AMS ICs to ensure 1 st Si design success.
标签： ESD_protection_for_RF_and_AMS_ICs
上传时间： 2020-06-05
上传用户：shancjb
在信号的产生、传输、接收过程当中，必定会遭受外部环境扰动和内部设备噪声的影响，为获得需求信号或状态的最有效估计，要排除无用干扰，这就叫做滤波。“滤波”的术语在无线电领域首先出现。由于随机信号功率谱的确定性，有用信号和无用信号必定不同，从而可以根据其差异来设计滤波器。1960年，卡尔曼发表了用递归方法解决离散数据线性滤波问题的论文（A New Approach to Linear Filtering and predicTIon Problems）。在这篇文章里，一种克服了维纳滤波缺点的新方法被提出来，这就是我们今天称之为卡尔曼滤波的方法。卡尔曼滤波应用广泛且功能强大，它可以估计信号的过去和当前状态，甚至能估计将来的状态，即使并不知道模型的确切性质。其基本思想是：以最小均方误差为最佳估计准则，采用信号与噪声的状态空间模型，利用前一时刻的估计值和当前时刻的观测值来更新对状态变量的估计，求出当前时刻的估计值，算法根据建立的系统方程和观测方程对需要处理的信号做出满足最小均方误差的估计。
标签： 卡尔曼滤波器
上传时间： 2022-07-04
上传用户：
近来发现有些问题很多人都很感兴趣。所以在这里希望能尽自己能力跟大家讨论一些力所能及的算法。现在先讨论一下卡尔曼滤波器，如果时间和能力允许，我还希望能够写写其他的算法，例如遗传算法，傅立叶变换，数字滤波，神经网络，图像处理等等。 因为这里不能写复杂的数学公式，所以也只能形象的描述。希望如果哪位是这方面的专家，欢迎讨论更正。 卡尔曼滤波器 – Kalman Filter 1． 什么是卡尔曼滤波器 （What is the Kalman Filter?） 在学习卡尔曼滤波器之前，首先看看为什么叫“卡尔曼”。跟其他著名的理论（例如傅立叶变换，泰勒级数等等）一样，卡尔曼也是一个人的名字，而跟他们不同的是，他是个现代人！ 卡尔曼全名Rudolf Emil Kalman，匈牙利数学家，1930年出生于匈牙利首都布达佩斯。1953，1954年于麻省理工学院分别获得电机工程学士及硕士学位。1957年于哥伦比亚大学获得博士学位。我们现在要学习的卡尔曼滤波器，正是源于他的博士论文和1960年发表的论文《A New Approach to Linear Filtering and predicTIon Problems》（线性滤波与预测问题的新方法）。如果对这编论文有兴趣
上传时间： 2022-07-23
上传用户：qdxqdxqdxqdx
