基于状态机的温度控制系统

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说明：  matlab 计算bessel光束，零阶贝塞尔函数，希望对大家有所帮助(matlab calculates the Bessel beam)

ffmpeg 实现音频重采样，采样率，声道，类型任意(ffmpeg audio resample)

异步电机的矢量控制，是现代电机控制的核心基础，本模型基于simulink(Vector control of asynchronous motor is the core of modern motor control. This model is based on simulink.)

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本程序包含语音压缩和语音识别领域所需的LPCC，MFCC特征提取算法以及语音端点检测源码。在对语音数据进行特征提取前，可对语音数据进行16K到8K的降采样率处理，包含180阶FIR滤波器的频率压缩程序 -This procedure includes voice compression and voice recognition requirements in the area of the LPCC, MFCC feature extraction algorithm, as well as voice activity detection source. Voice data in the feature extraction before the voice data can be 16K to 8K sampling rate of the drop treatment, including the 180-order FIR filter frequency compression procedures

一:需求分析 1. 问题描述 魔王总是使用自己的一种非常精练而抽象的语言讲话,没人能听懂,但他的语言是可逐步解释成人能听懂的语言,因为他的语言是由以下两种形式的规则由人的语言逐步抽象上去的: ----------------------------------------------------------- (1) a---> (B1)(B2)....(Bm) (2)[(op1)(p2)...(pn)]---->[o(pn)][o(p(n-1))].....[o(p1)o] ----------------------------------------------------------- 在这两种形式中,从左到右均表示解释.试写一个魔王语言的解释系统,把 他的话解释成人能听得懂的话. 2. 基本要求: 用下述两条具体规则和上述规则形式(2)实现.设大写字母表示魔王语言的词汇 小写字母表示人的语言的词汇 希腊字母表示可以用大写字母或小写字母代换的变量.魔王语言可含人的词汇. (1) B --> tAdA (2) A --> sae 3. 测试数据: B(ehnxgz)B 解释成 tsaedsaeezegexenehetsaedsae若将小写字母与汉字建立下表所示的对应关系,则魔王说的话是:"天上一只鹅地上一只鹅鹅追鹅赶鹅下鹅蛋鹅恨鹅天上一只鹅地上一只鹅". | t | d | s | a | e | z | g | x | n | h | | 天 | 地 | 上 | 一只| 鹅 | 追 | 赶 | 下 | 蛋 | 恨 | -one : a needs analysis. Problem description always use their own fiendish a very concise and abstract language speech Nobody can understand, but the language is gradually explained adult can understand the language, because his language is composed of the following two forms of

模仿windows里面自带的扫雷游戏而设计的扫雷游戏，完全由VC++设计。-imitation windows inside the mine, bringing their game designed demining game entirely by VC design.

研究利用RLS算法自适应均衡器纠正存在加性白噪声的信道的畸变。讨论特征值扩散度 对学习曲线的影响。 比较RLS算法和LMS算法在不同信噪比情况下的学习曲线。 -RLS algorithm using adaptive equalizer to correct the existence of additive white noise distortion channel. Eigenvalue discussion diffusivity impact on the learning curve. Comparison of RLS algorithm and LMS algorithm for different signal to noise ratio in the case of the learning curve.

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